This is a highly client-facing role. You will operate as a hybrid Engagement Lead + delivery leader for data and AI programs, accountable for both execution and client outcomes.

Core Responsibilities:

• Lead, and be accountable for the success of complex data and AI programs, serving as primary point of contact for client sponsors and partners.
• Partner closely with technical delivery leads and execution teams to drive success and measurable client outcomes.
• Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, and risk across multi-geo teams.
• Own and actively manage scope across all parties involved.
• Build strong, trust-based relationships with senior clients, partners, and technology stakeholders.
• Navigate ambiguity, conflicting priorities, and tough trade-offs with calm, data-informed recommendations.
• Coordinate effectively with ecosystem partners to align roadmaps, funding, and delivery.
• Shape a healthy, inclusive delivery culture by setting sustainable operating rhythms and coaching PMs/Delivery Leads/consultants.
• Contribute to the ongoing iteration and refinement of existing phData processes and methodologies.

Qualifications:

• Executive-facing client leadership: Track record working directly with executive stakeholders; excellent written and verbal communication, including concise status and executive storytelling.
• Consulting & engagement leadership: Significant consulting experience leading complex technology programs and owning delivery outcomes.
• Program/delivery management: Deep experience with multi-workstream initiatives and strong command of Agile/iterative delivery.
• Commercial & financial ownership: Experience managing budget, margin, and commercial risk on services engagements and comfort discussing trade-offs with internal and client leaders.
• Domain alignment: Familiarity with modern data stacks, including risks and trade-offs.
• Foundational: Prior experience leading remote, multi-geo teams strongly preferred; Bachelor’s degree or equivalent experience in a relevant field.

Job Data by YubHub.

As a Sr. Product Manager, you'll drive the success of data and AI solutions that connect client business goals to modern data platforms and products.

Core Responsibilities

• Shape and deliver data and AI platforms/products that solve real business problems, partnering with architects, engineers, analysts, and change leaders.
• Turn business goals into clear requirements, user stories, and backlogs; lead agile planning and execution across cross-functional teams.
• Define and track KPIs and success metrics across business, customer, product, and delivery; use data to drive prioritization and iteration.
• Ensure quality, adoption, and continuous improvement through testing, validation, stakeholder feedback, and iteration.
• Communicate clearly with business and technical stakeholders, surfacing risks early and driving alignment on decisions.
• Lead core product workstreams within broader engagements and manage day-to-day coordination and workstream-level stakeholders.

Qualifications

• Experience in product management for data, analytics, or AI platforms/products (consulting, SaaS, or enterprise).
• Hands-on exposure to modern cloud data platforms (e.g., Snowflake, Databricks, AWS/Azure/GCP) and strong data & AI literacy.
• Proven ability to lead cross-functional teams in an agile environment and communicate clearly with client stakeholders.
• Familiarity with data/AI architecture and governance, and experience in change-heavy transformations.
• Proficiency with product/project management tools and openness to AI-enabled execution tooling; willingness to travel as required.
• Significant experience owning end-to-end product outcomes for data/analytics/AI products.
• Prior external consulting experience.
• Recognized as a go-to SME; comfortable with executive-facing communication.
• Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients.

Benefits

phData celebrates diversity and is committed to creating an inclusive environment for all employees.

Job Data by YubHub.

Key Responsibilities:

• Build and operationalize production-ready Applied AI and machine learning solutions that align with customer objectives, technical requirements, and enterprise environments.
• Translate solution architectures and business requirements into clean, maintainable, well-tested code, data and model pipelines, and technical deliverables for AI applications.
• Implement robust production patterns for predictive ML, generative AI, LLM applications, agentic workflows, and intelligent automation, including evaluation, monitoring, and guardrails.
• Integrate AI solutions with enterprise data platforms, applications, APIs, and workflows, ensuring reliability, security, performance, and cost-effectiveness in production.
• Contribute to reusable accelerators, reference implementations, engineering standards, and technical playbooks that improve how phData delivers Applied AI solutions across clients.

About You: You are a technically rigorous problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications:

• 5+ years of experience in AI/ML engineering, software engineering, data engineering, or a related technical discipline, including at least 3 years designing, building, deploying, or operating AI and machine learning solutions in production.
• Strong programming experience in Python for building production-grade AI, ML, and data pipelines.
• Strong working knowledge of SQL for querying, transforming, and validating data used in AI and ML solutions.
• Practical experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or comparable technologies.
• Understanding of production AI/ML concerns, including evaluation, observability, security, governance, scalability, performance, and operational support.
• Experience developing production software, APIs, services, data pipelines, or AI applications and integrating them into enterprise environments.

Benefits at phData LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

Job Data by YubHub.

This is a highly client-facing role. You will operate as a Program Manager for data and AI programs, accountable for both execution and client outcomes.

Core Responsibilities:

• Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes.
• Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams.
• Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value.
• Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics.
• Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling.
• Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations.
• Manage project risks and customer escalations end-to-end in close partnership with delivery and sales.
• Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts.
• Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers.
• Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

Core Requirements:

• Proven experience leading client-facing programs and working directly with executive stakeholders, with strong written and verbal communication skills.
• 5+ years of Technical Program / Program Management experience in a consulting or professional services environment, managing timelines, scope, budgets, and resources for data and AI programs.
• Experience running multi-workstream initiatives across data platforms, analytics, cloud, and/or AI/ML, with strong command of Agile/iterative delivery and solid understanding of Waterfall.
• Background in AI, data, and analytics projects, with familiarity across modern data stacks such as Snowflake, AWS/Azure/GCP, modern BI, and ML/LLM platforms, including associated risks and trade-offs.
• Demonstrated ownership of performance across a project portfolio, including billable utilization and management of multiple customers concurrently.
• Proficiency in Jira, Azure DevOps, MS Project, and Excel, along with strong written technical documentation skills.
• Experience leading remote, multi-geo teams.
• Bachelor’s degree in IT or a related technical field.
• PMP and CSM certifications are strongly preferred.
• Willingness to travel up to 10% per month

Job Data by YubHub.

The Territory Director plays a strategic role in scaling the business, building and maintaining relationships with strategic partners, sourcing and acquiring new customers, and managing overall relationships at buying accounts within the territory.

Responsibilities:

• Exceed quarterly/annual sales targets in all practice areas
• Co-Sell with Anthropic, Snowflake, AWS, and other ecosystem partners
• Drive and execute lead generation activities
• Partner with team members to scope and present solutions to prospects and clients
• Take accountability for the phData brand in the territory and accounts
• Navigate complex organizational structures to identify key stakeholders
• Accurately forecast, update deals, and manage sales pipeline
• Complete and embrace training for continuous improvement and new company initiatives

Qualifications:

• 5+ years of B2B sales experience in technology services
• Experience in cloud services, data services, and/or AI is a plus
• Strong verbal, written, and presentation skills
• Ability to craft proposals, SOWs, negotiate contracts, deliverables, and pricing
• Enthusiasm to work in a fast-paced, high-growth environment
• Ability to work cross-functionally and be inclusive in the sales process
• Proven track record of sourcing, negotiating, and closing $250K+ deals

Why phData?

• Remote-First Work Environment
• A casual, award-winning small-business work environment
• A culture that prizes autonomy, creativity, and transparency
• Competitive compensation, benefits, PTO, and perks

Job Data by YubHub.

The Territory Director plays a strategic role in scaling the business, building and maintaining relationships with strategic partners, sourcing and acquiring new customers, and managing overall relationships at buying accounts within the territory.

Responsibilities:

• Exceed quarterly/annual sales targets in all practice areas
• Co-Sell with Anthropic, Snowflake, AWS and other ecosystem partners
• Drive and execute lead generation activities
• Partner with team members to scope and present solutions to prospects and clients
• Take accountability for the phData brand in the territory and accounts
• Navigate complex organizational structures to identify key stakeholders
• Accurately forecast, update deals, and manage sales pipeline
• Complete and embrace training for continuous improvement and new company initiatives

Qualifications:

• 5+ years of B2B sales experience in technology services
• Experience in cloud services, data services, and/or AI is a plus
• Strong verbal, written and presentation skills
• Ability to craft proposals, SOWs, negotiate contracts, deliverables and pricing
• Enthusiasm to work in a fast-paced, high-growth environment
• Ability to work cross-functionally, and be inclusive in the sales process
• Proven track record of sourcing, negotiating and closing $250K+ deals

Why phData?

• Remote-First Work Environment
• A casual, award-winning small-business work environment
• A culture that prizes autonomy, creativity, and transparency
• Competitive compensation, benefits, PTO, and perks

Job Data by YubHub.

We are looking for a Technical Delivery Manager to join our Elastic Platform Operations (EPO)/Managed Services team. In this role, you will lead and scale the design, implementation, and ongoing operations of modern data platforms for multiple enterprise customers, ensuring reliable delivery and continuous improvement of their cloud data environments.

Key Responsibilities

Client Delivery

• Own and drive the delivery and operational excellence of modern data platforms (including streaming, data lakes, and analytics) for multiple customer accounts.
• Translate business and technical requirements into actionable Epics, Stories, and Tasks that mature and improve customer data platforms while aligning to phData methodologies and best practices.
• Ensure engagements are delivered on time, within scope, and on budget, with clear measures of success and value for customers.
• Lead and motivate client technical teams, providing hands-on technical leadership for design, implementation, and ongoing operational support of cloud data platforms.
• Provide leadership during major incidents, ensuring effective coordination, communication, escalation, and follow-through to resolution, root cause analysis, and remediation.

Collaboration & Leadership

• Collaborate with cross-functional partners including architects, engineers, and site reliability/operations teams in the US and India to deliver successful client engagements and seamless handoffs across time zones.
• Develop strong relationships with sponsors and stakeholders, keeping them informed of progress and outcomes, hosting leadership discussions, and identifying opportunities to expand the value of our services.
• Ensure teams are trained and prepared to deliver by driving accurate process documentation, clear internal and external communication, and continuous readiness for production operations.
• Maintain proper staffing levels across accounts, balancing delivery between US and India team members to support continuous delivery and high customer satisfaction.

Practice & Firm Contribution

• Deliver feedback and drive improvements to our overall Managed Services offerings through process optimization, knowledge sharing, and creation of accelerators and reusable assets.
• Champion phData’s core values and foster a culture of accountability, ownership, and continuous improvement within delivery teams.
• Contribute to the evolution of best practices for incident management, change management, and modern data platform operations across multiple customers.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders (Director and VP level), shaping roadmaps for cloud data platforms and influencing strategic decisions around data and analytics operations.
• Mentor and coach architects, engineers, and operations team members, helping them grow technical depth and delivery capabilities across large and complex environments.
• Help define and refine Managed Services standards, playbooks, and frameworks to support scalable growth across a broad customer base.

About You

You are a client-focused technical delivery leader who enjoys owning complex data platform operations, guiding teams through ambiguity, and building strong relationships with stakeholders. You are equally comfortable discussing architectural trade-offs with engineers and outcomes with business leaders, and you thrive in a remote, global, outcomes-driven environment.

Required Qualifications

Experience

• 5+ years of experience in technical management, IT architecture, customer relationship management, project management, and/or delivery management, ideally within data, analytics, or infrastructure operations.

Technical / Functional Skills

• Hands-on experience with at least one major cloud platform, specifically Amazon Web Services (AWS) or Microsoft Azure.
• Technical knowledge deploying and managing modern cloud data technologies such as Snowflake, dbt, Fivetran, Airflow, Redshift, Matillion, Databricks, Azure Synapse, Qlik, StreamSets, NiFi, Cloudera, Coalesce, and EMR (not all required but familiarity with several is expected).
• Background in IT operations, infrastructure, or production support, including managing modern data platforms or data warehouses for multiple customers of various sizes.
• Experience leading technical operations teams through multiple large or complex projects, including backlog creation (Epics, Stories, Tasks), prioritization, and delegation.
• Experience scoping and planning large-scale, complex technology infrastructure or modern data platform initiatives.
• Demonstrated ownership of incident and escalation processes, including coordination among technical teams, end-users, and stakeholders through resolution, root cause analysis, and remediation.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Experience delivering services for external or internal customers in a professional services, managed services, or similar client-facing environment, including direct interaction with global customers and business partners.
• Ability to interact confidently with Director and VP level stakeholders, guiding discussions, building relationships, and communicating complex technical information in accessible ways (written, verbal, and formal presentations).
• Proven experience coordinating across technical teams managing IT infrastructure services or modern data platforms for multiple customers concurrently.
• Strong written and verbal communication skills in English.

Collaboration & Ownership

• Demonstrated ability to lead and collaborate with distributed, cross-functional teams across regions (e.g., US, LATAM, and/or India) and time zones.
• Strong leadership skills with a professional track record of creating, challenging, and improving processes and procedures.
• Highly organized, strategic thinker, and effective problem-solver who can manage multiple priorities and accounts simultaneously with minimal supervision.
• Flexibility to work across time zones as needed to support global teams and customers.

Education

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience (degree preferred but not required).

Preferred Qualifications

• Experience managing IT or data operations/production support environments, including leading data warehouse, ML, or data engineering teams.
• Experience working with cloud data platforms such as Snowflake, Databricks, and Azure Synapse in a multi-customer or managed services context.
• Additional experience with tools such as Qlik, StreamSets, NiFi, Cloudera, or Coalesce.
• Prior experience in a consulting, managed services, or MSP-style environment supporting multiple enterprise customers.
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Demonstrated passion and curiosity for learning new technologies and staying current with technology trends to inform business strategy.
• Contributions to internal accelerators, process improvements, or knowledge sharing initiatives are a plus.

Location & Time Zone Expectations

This role is based in the US and operates primarily in Central or Eastern US time zones, with regular collaboration with teams in India and across the Americas.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours and willingness to travel for client visits, team workshops, and strategic planning sessions.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

Job Data by YubHub.

We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

Responsibilities:

• Effectively lead and motivate client technical teams providing technical leadership for the design, implementation, and ongoing operational support of modern data platforms.
• Maintain knowledge of current modern data technology to guide and mentor team members.
• Collaborate with technical teams to build Epics, Stories, and Tasks to mature and improve customer data platforms.
• Provide Delivery Leadership for multiple customer accounts simultaneously.
• Develop strong relationships with sponsors and stakeholders.
• Ensure the team is trained and prepared to deliver.
• Actively participate in major incident response.
• Deliver feedback and make improvements to the overall service.
• Be an ambassador of company core values.

Qualifications:

• At least 5 years of experience in Technical Management, IT Architecture, Customer Relationship Management, Project Management, and/or Delivery Management.
• Passion and curiosity for learning new technologies and skills.
• Knowledge of technology trends.
• Experience with Amazon Web Services (AWS) or Microsoft Azure.
• Technical knowledge deploying and managing cloud/data technologies such as Snowflake, Redshift, Synapse, Fivetran, Qlik, Matillion, DBT, StreamSets, Airflow, NiFi, Cloudera, EMR, Databricks.
• Passion for leading a technical operations team.
• Experience scoping activities on large-scale, complex technology infrastructure projects.
• Experience owning Incident and Escalation processes.
• Previous experience working directly with global customers and business partners.
• Confidence, excellent communication skills, and customer relationship management skills.
• Strong leadership skills.
• Professional track record of creating, challenging, and improving processes and procedures.

Why phData? We Offer:

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities.

#LI-DNI

Job Data by YubHub.

We are looking for an Agentic AI Solutions Engineer to join our Applied AI team in our Agentic Delivery Center. In this role, you will design, build, and operationalize high-impact, production-ready agentic AI solutions that reason, retrieve, act, and integrate with enterprise systems to deliver measurable business outcomes.

Key Responsibilities

Agentic Engineering & Client Delivery

• Build and operationalize end-to-end agentic AI solutions, like RAG pipelines, multi-agent workflows, and human-in-the-loop steps, for enterprise clients.
• Translate solution designs and business requirements into clean, well-tested production-grade code aligned with phData methodologies, standards, and best practices.
• Build production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance before and after deployment.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

Collaboration & Leadership

• Contribute hands-on to reusable agentic accelerators and reference implementations aligned with the Intelligence Platform that can be deployed across multiple clients.
• Help establish engineering patterns, tooling, and ways of working as part of the zero-to-one buildout of the India delivery center.
• Collaborate with cross-functional partners, including forward-deployed engineers, data engineers, platform/DevOps engineers, and business stakeholders to deliver successful client engagements.
• Ensure high-quality deliverables through code reviews, technical documentation, automated testing, and adherence to security and governance standards.
• Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery patterns, and standardize AI deployment approaches.

Practice & Firm Contribution

• Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training for colleagues on best practices for AI engineering.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

About You

You are a hands-on AI learning engineer and collaborative problem solver who enjoys solving ambiguous business problems with AI, creating robust, production-ready solutions. You are comfortable working across the stack,from data pipelines and infrastructure to APIs and monitoring,and partnering directly with forward-deployed engineers, data engineers, platform engineers, and business stakeholders.

Required Qualifications

Experience

• 4+ years of experience in AI/ML engineering, software engineering, or data engineering roles building and deploying AI/ML solutions to production.
• Recent hands-on experience with LLM-powered or agentic applications.

Technical / Functional Skills

• Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling.
• Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP).
• Experience designing evaluation, guardrail, and observability strategies for LLM and agent systems (LLMOps/AgentOps).
• Hands-on experience in modern programming languages, such as Python, including developing APIs.
• Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production.
• Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations.
• Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality.
• Strong working knowledge of SQL, including writing, debugging, and optimizing complex and distributed queries.

Consulting / Delivery Skills

• Experience delivering projects for external or internal clients in a professional services, product, or consulting environment.
• Ability to break down complex problems into structured, actionable steps and drive them through to completion, ideally in a fixed-bid capacity.
• Strong written and verbal communication skills in English, including the ability to explain technical concepts to both technical and non-technical audiences.
• Proven experience presenting solutions and working directly with internal and/or external clients.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India.
• Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.
• Comfort working in client environments, quickly understanding new systems, and adapting solutions to fit existing architectures and processes.

Education

• Bachelor’s degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience preferred.

Preferred Qualifications

• Experience building reusable accelerators, modular codebases, or products deployed across multiple clients.
• Industry experience building AI/ML solutions in life sciences, retail, financial services, or manufacturing.
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Contributions to open source projects, technical communities, speaking engagements, or technical writing related to AI and agents are a plus.
• A Master’s or other advanced degree in data science, computer science, or a related field.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

As a Sr. Advisory Consultant, focused on bringing Master Data Management recommendations and solutions to life, you'll help clients design and operationalize MDM programs that treat their most critical data as a strategic asset. This is a hands-on consulting role focused on building end-to-end MDM processes, defining match, merge, and survivorship rules, and enabling the tools and workflows clients need to sustain high-quality, trusted master data.

Core Responsibilities

MDM Strategy and Process Design

• Gather and document business requirements for MDM design, including data domains, ownership, governance boundaries, and decision rights.
• Map stakeholders and decision rights across the client organization, and navigate the politics and competing priorities that determine whether governance decisions actually hold.
• Own the executive sponsor relationship , establishing steering committee cadence, keeping sponsors engaged, and escalating directly if sponsorship disengages.
• Build the business case for MDM scope, tying recommendations to the revenue, cost, or risk outcomes the executive sponsor cares about.
• Support the design of tailored MDM programs with recommendations on end-to-end workflows, ingress and egress data flows, team structure, and scope.
• Collaborate with data engineers, analysts, and business owners to embed MDM processes into daily workflows, platform pipelines, and modeling practices.
• Apply data quality processes such as profiling, monitoring, and issue management to ensure rules are practical and adopted.

Match, Merge, and Survivorship

• Partner with business teams to draft and maintain business rules governing match, merge, and survivorship logic for master data entities.
• Define and document matching criteria and thresholds tailored to the client's data landscape and business requirements.
• Establish survivorship rules that determine which record attributes are promoted to the golden record based on source system trust and business priority.
• Support testing and validation of match, merge, and survivorship configurations in client environments.
• Bring a modern perspective on MDM operating model design and rollout.

Tool Enablement & Adoption

• Evaluate and recommend MDM tooling options based on client requirements, data volumes, and existing technology landscape.
• Translate MDM design decisions into clear specifications for technical resources to configure and build within MDM and DQ tools (e.g., Semarchy, Informatica, Reltio, or equivalent), and validate the build against those specifications.
• Leverage AI-assisted features in modern tools (auto-classification, definition drafting, similarity matching, lineage discovery) to accelerate MDM execution.
• Facilitate MDM working groups and coach client staff on stewardship practices to drive alignment and sustainable data ownership.
• Communicate MDM concepts in clear business language; prepare training materials and adoption guides for executive and cross-functional audiences.

Required Qualifications

• 5+ years of experience in MDM, data governance, metadata management, or related roles.
• Hands-on experience with MDM and/or data catalog tools (e.g., Informatica, Reltio, Semarchy, Talend, Ataccama, or equivalent).
• Experience operating at the program level when MDM is a workstream within a larger transformation initiative (e.g., ERP/CRM modernization, M&A integration), not only standalone scoped delivery.
• Experience leading or supporting MDM working groups or data stewardship councils.
• Knowledge of data access provisioning, integration patterns, ingress/egress flows, or lineage capture.
• Demonstrated ability to define and obtain alignment for business rules, matching logic, and data quality controls.
• Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
• Experience mentoring or developing other consultants.
• Experience supporting scoping, SOW development, and effort estimation for consulting engagements.
• Familiarity with governance operating models and stewardship practices.
• Willingness to travel up to 50% per month when required by our clients.

Preferred Skills

• Hands-on experience with Semarchy specifically.
• Experience leading full MDM engagements end-to-end as the primary client-facing owner, directing technical resources and business analysts.
• Bachelor's degree in Information Systems, or related field (or equivalent work experience).

Job Data by YubHub.

You'll play a key role in helping clients embed governance and stewardship into their daily work. This is a hands-on role focused on executing governance activities, supporting metadata cataloging, and applying practical data quality controls.

Key Responsibilities:

• Facilitate data governance working groups to drive alignment between business and technology stakeholders.
• Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
• Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
• Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
• Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
• Coach client staff on data stewardship practices,showing them how to govern their data effectively and sustainably.
• Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
• Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.)
• Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
• Metadata Tools & Platform Enablement - Install and configure metadata/catalog tools in client environments.
• Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
• Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
• Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.
• Configure governance workflows (e.g., DG asset approvals, stewardship assignments, issue tracking).
• Leverage and guide customers on AI-assisted features in modern tools (auto-classification, definition drafting, similarity matching, lineage discovery) to accelerate execution and adoption.

Qualifications:

• 5+ years of experience in data governance, metadata management, or related roles.
• Hands-on experience with data catalog/metadata tools (e.g., Alation, Collibra, Atlan, Purview).
• Exposure to data quality tools and processes (Informatica, Talend, Ataccama, or equivalent).
• Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
• Demonstrated ability to define and obtain alignment for definition, business rules and data quality controls.
• Familiarity with governance operating models and stewardship practices.
• Knowledge of privacy regulations (GDPR, CCPA) and how governance practices support compliance.
• Willingness to travel as required by clients.
• Bachelor’s degree in Information Systems, or related field (or equivalent work experience).

Preferred Skills:

• Experience leading or supporting data governance working groups or stewardship councils.
• Knowledge of data access provisioning, integration patterns, or lineage capture.
• Experience building adoption materials, training guides, or playbooks for governance programs.
• Prior client-facing consulting experience.

Job Data by YubHub.

As a senior-level hands-on technical subject matter expert, you will be responsible for delivering large-scale, complex data platform and infrastructure projects running on Snowflake and other native cloud platform services in AWS and Azure.

Responsibilities:

• Propose, design, and provision cloud-native data solutions on AWS/Azure.
• Leverage a deep understanding of Snowflake, IAM, S3, EC2, Kinesis, Sagemaker, Airflow, Kafka, Azure Data Factory, ADLS, Fivetran, DBT, and/or other services and tools in designing and enhancing these solutions.
• Lead a technical team operating and managing modern data platforms.
• Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader.
• Skillfully navigate complex customer environments and build Epics, Stories, and Tasks to mature and improve our customer’s data platform.
• Delegate to and coach Engineers and ensure the successful and timely delivery of these Epics.
• Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction.
• Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes.
• Continually hunt for ways to automate, optimize, and expand our customer’s data platform and service offering.

Required Experience:

• Production support of enterprise data platforms such as Snowflake, AWS, Azure, or Databricks.
• Extensive experience in providing architectural guidance and operational support across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift) with a background in Systems Engineering, DevOps, DBA or Data Architect.
• Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, HDFS, ElasticSearch/Solr, Cassandra or other NoSQL storage systems.
• Production experience working with Data integration technologies such as Spark, Kafka, event/streaming, Fivetran, HVR, NiFi, AWS Data Migration Services, Azure DataFactory or others.
• Production experience working with Workflow Management and Orchestration such as Airflow, AWS Managed Airflow, Luigi, NiFi.
• Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries.
• Deep expertise with cloud-native data technologies in AWS or Azure.
• Professional track record of creating, challenging, and improving processes and procedures.
• Unmatched troubleshooting and performance tuning skills.
• Provide team lead and mentorship of engineers.
• Passion for learning new technology stacks and experience as a technical and up-skill/training team member.
• Create and deliver detailed technical presentations for an executive audience.
• Excellent client-facing written and verbal communication skills and experience.

Perks and Benefits:

• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Professional Development Allowance
• Reimbursement of Skill Upgrade Certifications
• Certification Reimbursement

Job Data by YubHub.

The Territory Director plays a strategic role in scaling our business. As a key player within our Sales organization, you are accountable for building and maintaining relationships with strategic partners within our ecosystem, sourcing and acquiring new customers, and managing the overall relationship at buying accounts within your territory.

Responsibilities:

• Exceed quarterly/annual sales targets in all practice areas (Data Engineering, Managed Services, Machine Learning, and Analytics)
• Co-Sell with Anthropic, Snowflake, AWS and other ecosystem partners to sell transformative data and AI engineering services and solutions into enterprise companies.
• Drive and execute lead generation activities (i.e. cold calls, email, social, regional events, etc.) to grow market share and awareness within your region.
• Partner with team members (Managing Directors, Solutions Engineering, Marketing, etc.) to scope and present solutions to prospects and clients.
• Take accountability for the phData brand in your territory and accounts, including all sales, delivery and overall customer success for accounts with your region.
• Navigate complex organizational structures to identify key stakeholders, champions and budget owners across various lines of business within an account.
• Accurately forecast, update deals, and manage sales pipeline.
• Complete and embrace training for continuous improvement and new company initiatives.

Qualifications:

• 5+ years of B2B sales experience in technology services. Experience in cloud services, data services, and/or AI is a plus.
• Experience co-selling with technology partners. Experience in Snowflake, Azure, AWS, and related platforms is a plus.
• Strong verbal, written and presentation skills.
• Ability to craft proposals, SOWs, negotiate contracts, deliverables and pricing.
• Enthusiasm to work in a fast paced, high-growth environment.
• Ability to work cross-functionally, and be inclusive in your sales process.
• Possess natural curiosity about your customer and their business.
• Proven track record of sourcing, negotiating and closing $250K+ deals that turn into multi-million dollar customers.
• Ability to travel up to 50%

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, Flexible PTO plus 10 Holidays (and other cool perks)

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for our managed services clients, ensuring they are secure, scalable, and aligned to strategic business goals. You will collaborate closely with clients, internal engineering and support teams, and practice leadership to deliver high-quality solutions, maximize platform ROI, and advance phData’s delivery excellence.

Key Responsibilities

Client Delivery

• Own and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers.
• Translate business and technical requirements into secure, scalable platform solutions, including migrations from legacy platforms (e.g., Redshift, Azure Data Warehouse), integration of data lakes and data warehouses, and performance optimization of enterprise data workloads.
• Ensure engagements are delivered on time, within scope, and with measurable business value by proactively optimizing platform performance, reliability, and costs through automation, monitoring, and continuous improvement.

Collaboration & Leadership

• Collaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives, to align platform strategies and roadmaps with business goals and ensure high customer satisfaction.
• Provide hands-on technical leadership to delivery teams during migrations, integrations, incident response, and performance tuning, guiding engineers through complex implementation challenges.
• Ensure high quality in deliverables through robust architecture standards, documentation, testing, and governance, including the implementation of strong security and data governance practices on client platforms.
• Partner with practice and account leaders to manage multiple customer engagements simultaneously, preventing resource overruns, maximizing platform ROI, and reinforcing phData’s Operational Maturity Framework with clients.

Practice & Firm Contribution

• Contribute to the evolution of phData’s Elastic Platform Operations offerings by promoting the Operational Maturity Framework, codifying best practices, and feeding lessons learned back into accelerators, templates, and playbooks.
• Mentor and develop junior engineers, sharing best practices in cloud-native architecture, operations, and consulting to foster a culture of continuous learning and excellence.
• Support pre-sales and scoping efforts as needed by partnering with sales and practice leadership to shape viable managed services solutions that balance technical feasibility, risk, and client value.

About You

You are a strategic, client-focused solutions architect who enjoys building and operating scalable, cloud-native data platforms that solve complex business problems. You are comfortable leading technical teams, managing multiple projects, and operating in distributed, global environments where outcomes and continuous improvement matter more than routines. You bring a hands-on mindset, strong communication skills, and a passion for aligning data infrastructure with long-term business goals.

Required Qualifications

Experience

• 8+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms and solutions, ideally in a consulting or managed services environment.

Technical / Functional Skills

• Deep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure SQL Data Warehouse, including strong skills in performance tuning and troubleshooting.
• Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka.
• Proven ability to build and operate scalable, secure data platforms aligned to strategic business goals, with a focus on operational excellence and continuous improvement.
• Advanced proficiency in Microsoft SQL and SQL-based workloads, including writing, debugging, and optimizing complex queries.
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines and tooling (e.g., Bitbucket, GitHub).
• Hands-on experience with data integration and ingestion tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Strong client-facing communication skills, with experience presenting architectural recommendations to executive stakeholders and creating clear, detailed solution documentation.
• Experience delivering and managing multiple concurrent customer engagements in a professional services or consulting environment, ensuring timely delivery and optimized operations.
• Ability to serve as a trusted advisor on data platform strategy, helping clients navigate technical trade-offs to meet business goals.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams, including sales, engineering, and support, to ensure seamless project delivery and high customer satisfaction.
• Proven track record of taking ownership of outcomes, anticipating upstream data and platform changes, and proactively managing risks to minimize impact on users and systems.
• Experience mentoring and guiding junior engineers and contributing to a culture of continuous learning and operational excellence.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Snowflake SnowPro Core certification or equivalent cloud/data platform certifications.
• Experience using Python for task automation, tooling, and operational efficiency in cloud-native environments.
• Hands-on experience with automated database deployment and CI/CD frameworks such as Flyway or Liquibase.
• Advanced degrees or additional relevant certifications in data, cloud, or software engineering disciplines.
• Experience supporting or implementing managed services offerings for cloud-native data platforms and working with global, remote teams.

Location & Time Zone Expectations

This role is based in LATAM and operates primarily in Eastern US time zone with significant overlap with Central time zone.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview We are looking for a Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for our managed services clients, ensuring they are secure, scalable, and aligned to strategic business goals.

Key Responsibilities

Client Delivery

• Own and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers.
• Translate business and technical requirements into secure, scalable platform solutions, including migrations from legacy platforms, integration of data lakes and data warehouses, and performance optimization of enterprise data workloads.
• Ensure engagements are delivered on time, within scope, and with measurable business value by proactively optimizing platform performance, reliability, and costs through automation, monitoring, and continuous improvement.

Collaboration & Leadership

• Collaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives, to align platform strategies and roadmaps with business goals and ensure high customer satisfaction.
• Provide hands-on technical leadership to delivery teams during migrations, integrations, incident response, and performance tuning, guiding engineers through complex implementation challenges.
• Ensure high quality in deliverables through robust architecture standards, documentation, testing, and governance, including the implementation of strong security and data governance practices on client platforms.
• Partner with practice and account leaders to manage multiple customer engagements simultaneously, preventing resource overruns, maximizing platform ROI, and reinforcing phData’s Operational Maturity Framework with clients.

Practice & Firm Contribution

• Contribute to the evolution of phData’s Elastic Platform Operations offerings by promoting the Operational Maturity Framework, codifying best practices, and feeding lessons learned back into accelerators, templates, and playbooks.
• Mentor and develop junior engineers, sharing best practices in cloud-native architecture, operations, and consulting to foster a culture of continuous learning and excellence.
• Support pre-sales and scoping efforts as needed by partnering with sales and practice leadership to shape viable managed services solutions that balance technical feasibility, risk, and client value.

About You You are a strategic, client-focused solutions architect who enjoys building and operating scalable, cloud-native data platforms that solve complex business problems. You are comfortable leading technical teams, managing multiple projects, and operating in distributed, global environments where outcomes and continuous improvement matter more than routines.

Required Qualifications

Experience

• 8+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms and solutions, ideally in a consulting or managed services environment.

Technical / Functional Skills

• Deep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure SQL Data Warehouse, including strong skills in performance tuning and troubleshooting.
• Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka.
• Proven ability to build and operate scalable, secure data platforms aligned to strategic business goals, with a focus on operational excellence and continuous improvement.
• Advanced proficiency in Microsoft SQL and SQL-based workloads, including writing, debugging, and optimizing complex queries.
• Experience with infrastructure-as-code tools and CI/CD pipelines and tooling.
• Hands-on experience with data integration and ingestion tools.
• Active daily use of AI coding tools with demonstrated judgment about when to trust, verify, and correct AI-generated output.

Consulting / Delivery Skills

• Strong client-facing communication skills, with experience presenting architectural recommendations to executive stakeholders and creating clear, detailed solution documentation.
• Experience delivering and managing multiple concurrent customer engagements in a professional services or consulting environment, ensuring timely delivery and optimized operations.
• Ability to serve as a trusted advisor on data platform strategy, helping clients navigate technical trade-offs to meet business goals.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams, including sales, engineering, and support, to ensure seamless project delivery and high customer satisfaction.
• Proven track record of taking ownership of outcomes, anticipating upstream data and platform changes, and proactively managing risks to minimize impact on users and systems.
• Experience mentoring and guiding junior engineers and contributing to a culture of continuous learning and operational excellence.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Benefits at phData

• Remote-First Work Environment
• 401k plan with company match
• Medical, Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Solutions Architect

Data Engineering

Role Overview

We are looking for a Solutions Architect to join our Data Engineering team. In this role, you will partner directly with clients to understand business objectives, architect scalable Data & AI solutions, and lead engineering teams through successful delivery from discovery through production deployment. You'll combine deep technical expertise with strong consulting skills to solve complex technical challenges, advise technical leaders, and communicate effectively with executive stakeholders. You won't simply design solutions,you'll lead their successful delivery while embracing AI-first engineering practices that improve speed, quality, and client outcomes.

Key Responsibilities

• Lead discovery sessions to uncover business goals, technical requirements, and solution constraints, while translating complex client challenges into scalable, production-ready Data & AI architectures.
• Serve as the primary technical advisor throughout client engagements.
• Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing architecture diagrams, design documentation, implementation plans, and technical standards.
• Lead and own the successful delivery of enterprise Data & AI solutions from architecture through production deployment and guide engineering teams through implementation while proactively identifying technical risks and removing delivery blockers.
• Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while guiding clients on practical AI adoption.
• Mentor engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, and technical enablement.

About You

You are a client-facing technical leader who enjoys solving complex data challenges and driving clear outcomes from ambiguity. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones. You combine strong communication and consulting skills with deep hands-on expertise in modern Data & AI platforms and engineering practices. You are equally comfortable leading technical discussions with engineering teams, influencing executive stakeholders, and helping clients navigate complex architectural decisions while delivering measurable business value.

Required Qualifications

Experience

• 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles.
• Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments.
• Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
• Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements.

Technical / Functional Skills

• Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
• Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
• Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
• Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Preferred Qualifications

• Industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks.
• Contributions to technical communities through speaking, writing, open source, or internal enablement.

Benefits at phData

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

Job Data by YubHub.

We are looking for a Solutions Architect to join our Data Engineering team.

In this role, you will partner directly with clients to understand business objectives, architect scalable Data & AI solutions, and lead engineering teams through successful delivery from discovery through production deployment.

You'll combine deep technical expertise with strong consulting skills to solve complex technical challenges, advise technical leaders, and communicate effectively with executive stakeholders.

Key Responsibilities:

• Lead discovery sessions to uncover business goals, technical requirements, and solution constraints, while translating complex client challenges into scalable, production-ready Data & AI architectures.
• Serve as the primary technical advisor throughout client engagements.
• Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing architecture diagrams, design documentation, implementation plans, and technical standards.
• Lead and own the successful delivery of enterprise Data & AI solutions from architecture through production deployment and guide engineering teams through implementation while proactively identifying technical risks and removing delivery blockers.
• Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while guiding clients on practical AI adoption.
• Mentor engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, and technical enablement.

Required Qualifications:

• 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles.
• Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments.
• Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
• Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements.

Technical / Functional Skills:

• Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
• Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
• Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
• Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Benefits at phData LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Solutions Architect

Role Overview

We are looking for a Solutions Architect to join our Data Engineering team. In this role, you will partner directly with clients to understand business objectives, architect scalable Data & AI solutions, and lead engineering teams through successful delivery from discovery through production deployment. You'll combine deep technical expertise with strong consulting skills to solve complex technical challenges, advise technical leaders, and communicate effectively with executive stakeholders.

Key Responsibilities

• Lead discovery sessions to uncover business goals, technical requirements, and solution constraints, while translating complex client challenges into scalable, production-ready Data & AI architectures.
• Serve as the primary technical advisor throughout client engagements.
• Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing architecture diagrams, design documentation, implementation plans, and technical standards.
• Lead and own the successful delivery of enterprise Data & AI solutions from architecture through production deployment and guide engineering teams through implementation while proactively identifying technical risks and removing delivery blockers.
• Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while guiding clients on practical AI adoption.
• Mentor engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, and technical enablement.

About You

You are a client-facing technical leader who enjoys solving complex data challenges and driving clear outcomes from ambiguity. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones. You combine strong communication and consulting skills with deep hands-on expertise in modern Data & AI platforms and engineering practices.

Required Qualifications

Experience

• 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles.
• Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments.
• Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
• Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements.

Technical / Functional Skills

• Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
• Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
• Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
• Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Benefits at phData

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content

Job Data by YubHub.

We are looking for a Sr. Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will operate, mature, and optimize modern cloud data platforms spanning streaming, data lakes, data warehouses, and analytics to ensure performance, security, scalability, and user satisfaction.

Key Responsibilities

Client Delivery

• Own and drive the operation, reliability, and continuous improvement of modern cloud data platforms (streaming, data lakes, data warehouses, and analytics) for enterprise customers.
• Translate business and technical requirements into robust cloud-native data platform architectures and implementation plans that align with phData methodologies, standards, and best practices.
• Ensure engagements are delivered on time, within scope, and with measurable business value by providing architectural guidance and hands-on operational support for platforms such as Snowflake and Amazon Redshift.
• Proactively identify and articulate best practices, platform optimizations, and automation opportunities to help customers get the most value from their Cloud Data Platform.

Collaboration & Leadership

• Collaborate with cross-functional partners (engineering, analytics, ML, support, and others) to design, build, and operate modern data platforms for our clients.
• Act as a technical leader across multiple simultaneous customer accounts, skillfully navigating complex environments and aligning stakeholders on priorities and approaches.
• Provide technical and strategic leadership during workshops, discovery sessions, design reviews, and operational reviews, including creating and delivering detailed technical presentations.
• Ensure high quality in deliverables through rigorous troubleshooting, performance tuning, documentation, testing, governance, and change management.
• Partner with practice and account leaders to build Epics, Stories, and Tasks that mature and improve customer data platforms, delegating effectively to Engineers and ensuring successful and timely delivery.

Practice & Firm Contribution

• Contribute to internal initiatives such as codifying operational best practices, building accelerators, templates, and playbooks, and enhancing our cloud data platform offerings.
• Continually hunt for ways to automate and optimize existing processes, tooling, and workflows, and share improvements with the broader team.
• Train and mentor engineers on new technology stacks, operational practices, and platform standards.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders, shaping data platform roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement in cloud data platform operations.
• Help define and refine practice standards, reusable assets, and delivery frameworks for cloud-native data platforms and managed services.
• Lead complex incident response and post-incident review efforts, driving systemic improvements that enhance performance, reliability, and user satisfaction.

About You

You are a client-focused technical leader and problem solver who enjoys operating and improving complex cloud data platforms, driving automation, and coaching engineers to deliver reliable, scalable solutions. You are comfortable working in a fast-paced, outcomes-driven environment with distributed, global teams and partnering closely with clients across time zones.

Required Qualifications

Experience

• 10+ years of experience in modern cloud data platforms, data warehousing, consulting, and data engineering/operations.

Technical / Functional Skills

• Extensive experience providing architectural guidance and operational support for cloud-native data warehouses such as Snowflake and/or Amazon Redshift across a large user base.
• Expertise with cloud-native data technologies in AWS and/or Azure, including services such as S3, Aurora, Athena, Redshift, SageMaker, Azure SQL/DevOps, and Azure Data Factory.
• Production support experience in large enterprise environments supporting cloud data platforms and a variety of cloud data technologies.
• Strong working knowledge of SQL, with the ability to write, debug, and optimize complex queries for performance and maintainability.
• Strong troubleshooting, performance tuning, and database administration skills for cloud data platforms.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Experience delivering projects for external or internal clients in a professional services or consulting environment.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.
• Strong written and verbal communication skills in English, including the ability to create and deliver detailed presentations to client and internal audiences.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams (including engineering, analytics, and support) to ensure seamless project delivery and high customer satisfaction.
• Proven track record of taking ownership, managing multiple priorities across several customer accounts, and delivering high-quality work with minimal supervision.
• Proven experience learning new technology stacks, training team members, and creating, challenging, and improving processes and procedures.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Production and/or database administration experience and certifications in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, or Databricks.
• Production experience with cloud and distributed data storage technologies such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems.
• Production experience with data integration technologies such as Spark, Kafka, event/streaming platforms, StreamSets, Matillion, Fivetran, HVR, NiFi, AWS Data Migration Service, Azure Data Factory, Google Dataproc, or similar tools.
• Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi.
• Working experience with infrastructure as code using Terraform or CloudFormation.
• Strong expertise in a scripting language (preferably Python) to automate repetitive tasks and improve operational efficiency.
• Experience with continuous integration and deployment frameworks and tools such as Bitbucket, GitHub, Flyway, and Liquibase.
• Experience as a technical team lead, providing direction, coaching, and support to engineers.
• Bachelor’s degree in Computer Science or a related field.

Location & Time Zone Expectations

This role is based in the US and operates primarily in Central and Eastern time zones.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

Job Data by YubHub.

We are looking for a Solutions Architect to join our Data Engineering team. In this role, you will partner directly with our clients to understand business objectives, architect scalable Data & AI solutions, and lead engineering teams through successful delivery from discovery through production deployment.

Key Responsibilities:

• Lead discovery sessions to uncover business goals, technical requirements, and solution constraints, while translating complex client challenges into scalable, production-ready Data & AI architectures.
• Serve as the primary technical advisor throughout client engagements.
• Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing architecture diagrams, design documentation, implementation plans, and technical standards.
• Lead and own the successful delivery of enterprise Data & AI solutions from architecture through production deployment and guide engineering teams through implementation while proactively identifying technical risks and removing delivery blockers.
• Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while guiding clients on practical AI adoption.
• Mentor engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, and technical enablement.

Required Qualifications:

• 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles.
• Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments.
• Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
• Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements.

Technical / Functional Skills:

• Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
• Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
• Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
• Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Benefits at phData US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

Job Data by YubHub.

The Senior IT Operations Administrator will play a key role in managing the employee technical lifecycle, including onboarding, offboarding, access management, security, and end-user support. Additionally, this role focuses on maintaining the organisation's technology infrastructure, ensuring optimal performance, security, and reliability of all cloud-based systems and applications.

Key responsibilities:

• Manage and resolve IT support requests from employees
• Work with different MDM systems and execute app deployments, policy implementations, and configuration automations
• Maintain an Entra ID domain with user accounts, dynamic groups, and enterprise app integrations
• Create and manage accounts for new employees, and de-provision accounts for departing employees
• Procure and ship new laptops to employees, and wipe devices received from exiting employees for reuse
• Participate in regular security tasks and conduct timely review of security alerts
• Be a tech specialist and technical mentor to the team as needed
• Create design and planning documents to drive well-defined IT implementations
• Work on various organisation-wide applications and infrastructure projects with minimal downtime and disruption
• Work in rotational shifts to support end-users and provide uninterrupted global IT coverage

Requirements:

• Hands-on experience with Entra ID (Azure Active Directory), Intune (Microsoft Endpoint Manager) or Jamf, Windows, macOS, Microsoft Defender, Google Workspace/GSuite
• Experience with Office 365, Sentinel, AWS Workspaces, AWS Cloud, Azure Cloud, Jira service management, OpenVPN, Networking, etc. is a plus
• Extensive experience and excellent troubleshooting, installation, and maintenance skills on all operating systems, laptop hardware, and other IT devices
• Experience in configuring and managing different SIEM, Network, and AV monitoring tools
• Excellent communication skills, both written and verbal
• Strong problem-solving and time management skills
• Detail-oriented
• Bachelor's degree in IT or Computer Science preferred
• 7+ years of experience with at least 3 years as a System Administrator or similar

Benefits:

• Medical Insurance for Self & Family
• Shift Allowance
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• 2-4 week bootcamp and continuous learning opportunities
• Paid certifications, professional development allowance, and additional compensation for creating company-approved content

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Senior DevOps Engineer to join our Elastic Platform Operations (EPO) team.

In this role, you will own the technical delivery and platform reliability of cloud-native data environments on AWS and Azure for our managed services clients. You bring deep DevOps expertise , infrastructure-as-code, CI/CD, cloud platform engineering, automation, and client-facing delivery , and you will apply it in data platform contexts, developing data warehouse and pipeline depth as you go.

You will work closely with Solutions Architects, engineering teams, and client stakeholders to implement scalable, well-governed solutions that drive measurable business value. Familiarity with data platforms like Snowflake or Redshift is a plus, but it is not a prerequisite , what matters most is your cloud engineering foundation and your ability to deliver in a consulting environment.

Key Responsibilities

Client Delivery

• Own and drive end-to-end operational delivery for cloud-native data platform environments (AWS, Azure) across multiple managed services clients , including environment configuration, infrastructure automation, and platform reliability.
• Translate business and technical requirements into resilient, cost-effective platform solutions aligned with phData methodologies, architecture standards, and best practices.
• Build, deploy, and maintain infrastructure-as-code configurations and CI/CD pipelines that support repeatable, governed platform delivery.
• Monitor and support production data jobs and pipelines (ETL/ELT), ensuring timely resolution of failures and minimizing business impact as you develop depth in data platform patterns.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

Collaboration & Leadership

• Collaborate with Solutions Architects, data engineering teams, analytics teams, and client stakeholders to deliver successful, well-integrated client engagements.
• Provide technical leadership during troubleshooting sessions, infrastructure reviews, and platform deployments, particularly across cloud services on AWS and Azure.
• Ensure high quality in deliverables through clear documentation, deployment guides, runbooks, and adherence to governance and change management processes.
• Partner with practice and account leaders to improve operational maturity, standardize delivery patterns, and enhance client satisfaction across a large user base.

Practice & Firm Contribution

• Contribute to internal initiatives such as building and enhancing IaC templates, automation scripts, CI/CD frameworks, and operational playbooks for Elastic Platform Operations.
• Mentor peers by sharing best practices in cloud engineering, leading knowledge-sharing sessions, and helping up-skill team members on new tools and technologies.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

Additional Responsibilities (Senior Level)

• Act as a trusted advisor to senior client stakeholders on cloud platform reliability, infrastructure strategy, and performance optimization.
• Lead complex infrastructure and platform delivery efforts, coordinating across multiple teams and driving long-term improvements.
• Mentor and coach junior engineers, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine Elastic Operations standards, reusable IaC assets, and delivery frameworks for managed services.

About You

You are a senior cloud/DevOps engineer who thrives in a structured, client-facing environment and takes pride in building reliable, automated, and well-governed platform infrastructure. You are comfortable operating across AWS and Azure, writing infrastructure-as-code, and driving CI/CD-enabled delivery at scale. You may not have deep data warehouse or Snowflake experience today , that is expected, and we will invest in building it , but you bring the platform engineering fundamentals that underpin everything we do for our clients. You are comfortable in distributed, global teams and take full ownership of your engagements.

Required Qualifications

Experience

• 6+ years of hands-on experience in DevOps, cloud platform engineering, or infrastructure , ideally including client-facing or consulting delivery experience.

Technical / Functional Skills

• Strong cloud platform experience across AWS and/or Azure, including core infrastructure services (e.g., S3, ADLS, IAM, networking, compute, secrets management).
• Proven hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) , including authoring, extending, and maintaining IaC in team environments.
• Solid experience designing and operating CI/CD pipelines and tooling (e.g., GitHub Actions, Bitbucket Pipelines, Azure DevOps) for platform and application deployments.
• Proficiency in Python for scripting, automation, and operational tooling in cloud-native environments.
• Working knowledge of SQL , ability to read, write, and debug queries to support platform troubleshooting and data flow validation.
• Working knowledge of Unix/Linux environments and common system administration and scripting concepts.
• Strong troubleshooting, performance tuning, and root-cause analysis skills across cloud infrastructure and platform services.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Experience delivering projects for external or internal clients in a professional services, consulting, or managed services environment.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.
• Strong written and verbal communication skills in English, with the ability to clearly explain technical issues and solutions to non-technical stakeholders.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams across engineering, sales, and support.
• Proven track record of taking full ownership, managing multiple concurrent priorities, and delivering high-quality work with minimal supervision.
• Openness to learning new technology stacks , including data platform technologies , and helping up-skill other team members.

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field , or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience providing operational or engineering support for a cloud-native data warehouse such as Snowflake, Amazon Redshift, or Azure Synapse , including configuration, administration, or performance tuning.
• Snowflake SnowPro Core certification or equivalent cloud/data platform certifications (AWS Solutions Architect, Azure Administrator, etc.).
• Experience with data integration and streaming technologies such as Spark, Kafka, Fivetran, Matillion, HVR, NiFi, AWS Database Migration Service, or Azure Data Factory.
• Experience monitoring and supporting ETL/ELT data pipelines and scheduled data jobs in a production environment.
• Familiarity with workflow orchestration tools such as Apache Airflow or AWS Managed Airflow.
• Experience with RDBMS platforms such as Oracle or Microsoft SQL Server in an operational or engineering context.
• Experience with database deployment and schema migration frameworks such as Flyway or Liquibase.
• Familiarity with ITIL processes and working in SLA-driven support environments.
• Prior experience working in a managed services or Elastic Operations environment supporting multiple clients.

Location & Time Zone Expectations

This role is based in LATAM and operates primarily supports clients in Eastern and Central time zones in the US.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and a clear pathway toward Solutions Architect and senior platform roles.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

LATAM:

• Remote-First Work Environment

• Casual, award-winning small-business work environment

• Collaborative culture that prizes autonomy, creativity, and transparency

• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)

• Accelerated learning and professional development through advanced training and certifications

Job Data by YubHub.

Why phData?

• Snowflake Implementation Partner of the Year , 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner , the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Required Experience:

• At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
• Ability to develop end-to-end technical solutions into production , and to help ensure performance, security, scalability, and robust data integration.
• Programming expertise in Java, Python and/or Scala
• Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
• SQL and the ability to write, debug, and optimize SQL queries
• Client-facing English written and verbal communication skills and experience
• Create and deliver detailed presentations
• Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
• 4-year Bachelor's degree in Computer Science or a related field

Preferred Experience:

• Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
• Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
• Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
• Multiple data sources (e.g. queues, relational databases, files, search, API)
• Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
• Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
• Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Job Data by YubHub.

This is a highly client-facing role. You will operate as a Program Manager for data and AI programs, accountable for both execution and client outcomes.

Core Responsibilities:

• Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes.
• Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams.
• Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value.
• Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics.
• Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling.
• Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations.
• Manage project risks and customer escalations end-to-end in close partnership with delivery and sales.
• Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts.
• Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers.
• Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

Core Requirements:

• Proven experience leading client-facing programs and working directly with executive stakeholders, with strong written and verbal communication skills.
• 5+ years of Technical Program / Program Management experience in a consulting or professional services environment, managing timelines, scope, budgets, and resources for data and AI programs.
• Experience running multi-workstream initiatives across data platforms, analytics, cloud, and/or AI/ML, with strong command of Agile/iterative delivery and solid understanding of Waterfall.
• Background in AI, data, and analytics projects, with familiarity across modern data stacks such as Snowflake, AWS/Azure/GCP, modern BI, and ML/LLM platforms, including associated risks and trade-offs.
• Demonstrated ownership of performance across a project portfolio, including billable utilization and management of multiple customers concurrently.
• Proficiency in Jira, Azure DevOps, MS Project, and Excel, along with strong written technical documentation skills.
• Experience leading remote, multi-geo teams.
• Bachelor’s degree in IT or a related technical field.
• PMP and CSM certifications are strongly preferred.
• Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

Job Data by YubHub.

We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

What You'll Do

Executive Advisory & Delivery

Serve as a senior advisor to Customer executives (CIO, CFO, CTO, CDO, Chief AI Officer, and their staffs) on AI strategy, governance, and organizational change tied to Anthropic/Claude adoption.

Design and personally lead strategy sessions, and advisory engagements spanning AI operating model design, governance frameworks, and FinOps for AI cost management.

Bring a defined perspective on FinOps in AI: unit economics of LLM usage, cost allocation and chargeback/showback models, model selection and token-cost tradeoffs, and how finance, engineering, and business functions should collaborate to manage AI spend at scale.

Act as the escalation point and quality bar for advisory delivery, ensuring engagements meet a consistently high standard and produce outcomes that customers can act on.

Practice & Business Growth

Own and grow the Anthropic-focused Advisory pipeline, translating our capabilities into offerings that Customers want to buy.

Partner with sales and account teams on presales, shaping proposals, scoping advisory engagements, and participating directly in Customer pursuits.

Work with Anthropic's GTM and alliance teams to develop joint offerings, referral pipeline, and co-selling motions.

Define and evolve the advisory service catalog, including offerings, pricing, and delivery methodology, as the practice scales.

Marketing & Thought Leadership

Publish points of view, whitepapers, and frameworks, particularly on AI FinOps, that establish phData and the individual as a recognized voice in the market.

Represent phData at industry events, webinars, and Anthropic-sponsored forums.

Partner with marketing on campaigns, case studies, and content that support pipeline generation for the Advisory practice.

Delivery Oversight

Oversee a portfolio of advisory engagements, ensuring consistent methodology, staffing, and quality across delivery teams.

Mentor and develop consulting talent within the Advisory practice.

Own Customer satisfaction and outcomes for related engagements, through proactive delivery management, executive engagement, and escalation resolution.

What You'll Bring

• 5+ years in management consulting, strategy advisory, or a senior enterprise technology leadership role, with a track record of advising C-level executives.
• Direct experience with FinOps, ideally spanning both cloud financial management and emerging AI/LLM cost management (token economics, model cost-performance tradeoffs, usage governance, chargeback/showback).
• Demonstrated experience designing and facilitating strategy sessions.
• Working knowledge of AI governance and responsible AI frameworks, and experience leading organizational change tied to AI or major technology adoption.
• Experience with Anthropic's Claude platform, and the broader enterprise AI landscape.
• Business development experience, comfortable shaping deals, scoping SOWs, and participating in presales conversations.
• A point of view others want to hear, comfortable writing, speaking, and representing the firm publicly.
• Willingness to travel up to 50% to Customer sites.

What Success Looks Like

• A growing, healthy pipeline of Anthropic-aligned advisory engagements, with phData recognized as a go-to partner for AI strategy, governance, and FinOps.
• A recognizable market point of view on AI FinOps, backed by published content and speaking engagements.
• Advisory delivery that consistently earns strong Customer feedback and repeat or expansion business.

Job Data by YubHub.

We are looking for a Principal Solutions Architect to join our Data Engineering team. In this role, you will serve as a senior technical leader across strategic client accounts, partnering directly with clients to understand business objectives, shape Data & AI strategy, architect scalable solutions, and identify opportunities to expand the partnership.

Key Responsibilities:

• Lead strategic discovery across client accounts to uncover business priorities, technical challenges, and emerging opportunities, translating them into scalable Data & AI architectures, roadmaps, and opportunities for expanded client engagement.
• Serve as a senior technical advisor and trusted partner to client executives and technical leaders, helping shape account strategy, strengthen relationships, and identify opportunities where phData can deliver additional value.
• Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while shaping solution strategy, scoping new opportunities, contributing to proposals and SOWs, and partnering with account and sales leaders to convert client needs into revenue-generating engagements.
• Lead and oversee the successful delivery of enterprise Data & AI solutions across strategic accounts, ensuring architectural quality and client outcomes while guiding engineering teams, proactively identifying technical and account risks, and creating a clear path from successful delivery to continued account growth.
• Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while helping clients identify and prioritize practical AI opportunities that can become broader transformation initiatives.
• Mentor architects and engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, technical enablement, and raising the technical and consulting capabilities of the broader organization.

About You: You are a senior client-facing technical leader who thinks beyond individual projects and takes ownership of the broader success and growth of an account. You enjoy solving complex data challenges, building trusted relationships with senior technical and business leaders, and identifying where technology can create measurable business value.

Required Qualifications:

• 10+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles, including experience operating as a senior technical leader across complex enterprise client accounts.
• Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments while owning technical strategy and outcomes across multiple projects, workstreams, or client initiatives.
• Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
• Strong consulting experience leading technical discovery, solution architecture, executive client engagements, and account growth, including identifying opportunities, shaping solutions, contributing to proposals and SOWs, and helping generate revenue within existing or new client relationships.

Technical / Functional Skills:

• Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
• Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
• Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
• Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Benefits at phData:

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content

Job Data by YubHub.

We're looking for a Machine Learning Solutions Architect to join our Applied AI team. In this role, you will translate complex business challenges into practical, production-ready Applied AI solutions that deliver measurable value for our clients. You will collaborate closely with client stakeholders, senior architects, and cross-functional delivery teams to design and guide implementation of robust AI systems.

Key Responsibilities:

• Lead the design of end-to-end Applied AI architectures that span predictive ML, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation aligned to client objectives and constraints.
• Translate ambiguous business requirements into clear solution designs, technical requirements, implementation roadmaps, and measurable success criteria for client engagements.
• Guide and contribute hands-on to prototypes, proofs of concept, and production implementations, ensuring high-quality delivery, robust integrations, and smooth transition into reliable production operations.
• Partner with client and internal stakeholders through discovery sessions, architecture workshops, and roadmap discussions to evaluate AI opportunities, recommend technology choices, and de-risk complex technical decisions.
• Ensure production AI systems are designed and implemented with strong attention to security, observability, evaluation, governance, cost-effectiveness, and ongoing monitoring, retraining, and support.

About You: You are a technically rigorous, client-focused problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications:

• 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions, including at least 5 years designing or leading AI, machine learning, MLOps, or data-intensive solutions in production.
• Strong understanding of Applied AI and modern machine learning systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, and agentic architectures.
• Hands-on experience with production AI/ML systems, including evaluation, observability, security, governance, and operational support.
• Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or similar frameworks.
• Proficiency with programming and software development, preferably in Python, and strong working knowledge of SQL.

Benefits at phData US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Principal Solutions Architect to join our Managed Services – Elastic Platform Operations (EPO) team. In this role, you will serve as a hands-on senior technical leader, owning the design, delivery, and continuous evolution of large-scale, cloud-native data platforms for global enterprise clients. You will collaborate closely with clients, engineering teams, and practice leadership to translate complex business requirements into scalable, high-performing data solutions,while driving delivery excellence and advancing phData's managed services capabilities.

Key Responsibilities

Client Delivery

• Own and drive the design, provisioning, and operationalization of cloud-native data solutions on AWS and Azure, leveraging platforms such as Snowflake, Fivetran, dbt, Matillion, Azure Data Factory, and other modern data stack technologies.
• Translate client business requirements into scalable, secure, and performant data platform architectures aligned with phData methodologies and best practices.
• Ensure client engagements are delivered on time, within scope, and with measurable business value,managing multiple simultaneous customer accounts across a variety of technical stacks.
• Skillfully navigate complex customer environments by building and prioritizing Epics, Stories, and Tasks to mature and improve clients' data platforms.
• Continually identify opportunities to automate, optimize, and expand clients' data platform capabilities and phData's service offering.

Collaboration & Leadership

• Lead technical teams operating and managing modern data platforms,spanning streaming, data lakes, analytics, and beyond,across a progressively evolving technical stack.
• Provide technical thought leadership during client workshops, architecture reviews, and discovery sessions, recommending the right technologies and approaches to ensure performance, security, scalability, and user satisfaction.
• Ensure high quality in all deliverables through code reviews, documentation, governance, and performance tuning.
• Partner with practice and account leaders to identify opportunities to expand engagements and standardize delivery patterns.

Practice & Firm Contribution

• Contribute to internal initiatives including IP development, accelerators, delivery frameworks, and technical playbooks.
• Represent phData with professionalism in all client interactions, communicating clearly and effectively with both technical and non-technical stakeholders, including executive audiences.

Additional Responsibilities (Senior / Lead / Principal Roles)

• Act as a trusted advisor to senior client stakeholders, shaping data platform roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach engineers on the team, delegating effectively and fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine practice standards, reusable assets, and delivery frameworks to scale phData's managed services capability.
• Lead detailed technical presentations and architecture recommendations for executive-level audiences.

About You

You are a senior technical leader and client-focused consultant who thrives in fast-paced, outcomes-driven environments. You are energized by working across multiple complex projects and customer environments simultaneously, and you are comfortable operating in ambiguity,quickly assessing situations, formulating actionable plans, and driving them through to completion. You bring deep expertise in cloud data platforms, strong consulting instincts, and the presence and communication skills to engage confidently with clients at all levels of an organization.

Required Qualifications

Experience

• 10+ years of experience in data platform engineering, architecture, or managed services, with significant hands-on experience in enterprise cloud environments.

Technical / Functional Skills

• Advanced expertise in enterprise cloud data platforms, including Snowflake, AWS, Azure, and/or Databricks.
• Extensive experience providing architectural and operational guidance for cloud-native data warehouses (Snowflake and/or Redshift) across large user bases.
• Production experience with cloud and distributed data storage technologies such as S3, ADLS, Cassandra, or other NoSQL storage systems.
• Production experience with data integration technologies such as Spark, Kafka, event/streaming pipelines, Matillion, Fivetran, HVR, AWS Data Migration Services, Azure Data Factory, or equivalent.
• Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, or Luigi.
• Strong proficiency in SQL, including writing, debugging, and optimizing complex queries.
• Extensive experience with infrastructure as code using Terraform or CloudFormation.
• Experience building automated solutions for repetitive administrative tasks using Python or a similar language.
• Proficiency with CI/CD frameworks and tools such as Bitbucket, GitHub, Flyway, and Liquibase.
• Exceptional troubleshooting and performance tuning skills across complex, multi-stack environments.

Consulting / Delivery Skills

• Demonstrated experience delivering projects for external clients in a professional services or consulting environment.
• Ability to break down complex, multifaceted problems into structured, actionable steps and drive them to resolution across technical, business, and operational dimensions.
• Strong written and verbal communication skills in English, with the ability to create and deliver detailed technical presentations for executive audiences.

Collaboration & Ownership

• Proven experience as a technical team lead and mentor, with a track record of delegating effectively and developing engineering talent.
• Demonstrated ability to work effectively across distributed, cross-functional global teams.
• Proven track record of taking ownership of multiple priorities simultaneously, delivering high-quality outcomes with minimal supervision.
• Professional track record of creating, challenging, and improving processes and procedures in dynamic environments.

Education – If desired

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Snowflake SnowPro Core Certification or any Snowflake Advanced Certification.
• Hands-on experience with data visualization tools and exposure to data science or machine learning platform operations.
• Experience operating across multiple industry verticals or problem domains in a managed services or platform operations context.
• Prior experience working in global or remote teams, partnering across US, LATAM, and/or India time zones.
• Contributions to open source communities, technical writing, conference speaking, or internal accelerators are a plus.

Location & Time Zone Expectations

This role is based in India (Bangalore) and operates primarily in IST (Indian Standard Time), with expected overlap with US time zones to support client engagement and collaboration with global teams.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients, particularly for key project milestones, client workshops, or escalations.
• Client needs may occasionally require flexibility in working hours to support critical platform operations or delivery timelines.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

India:

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content

Job Data by YubHub.

As a Machine Learning Solutions Architect, you will design and lead practical, production-ready Applied AI solutions that connect data, cloud, and AI technologies to deliver measurable business impact. You will collaborate closely with client stakeholders, senior architects, and cross-functional engineering teams to shape architectures, guide implementation, and move AI initiatives from experimentation into reliable production systems.

Key Responsibilities:

• Lead the design of end-to-end Applied AI architectures across predictive ML, MLOps, generative AI, RAG, and agentic workflows that are aligned to client goals, constraints, and success criteria.
• Translate ambiguous business problems into clear use cases, technical requirements, solution options, and implementation plans that connect AI capabilities to measurable outcomes.
• Guide and support delivery teams through discovery, prototyping, implementation, deployment, and productionization, ensuring solutions meet standards for reliability, scalability, security, and governance.
• Partner with client stakeholders, senior architects, and sales teams to run discovery and architecture workshops, shape roadmaps, and contribute to proposals, statements of work, and technical demonstrations.
• Contribute to practice assets by documenting architecture decisions, patterns, reference designs, and lessons learned that can be reused across clients to accelerate high-quality Applied AI delivery.

About You: You are a technically rigorous, client-focused architect who enjoys solving complex, ambiguous problems in an outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications:

• Experience: 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions, including at least 5 years leading AI, ML, MLOps, or data-intensive solutions in production.
• Technical / Functional Skills: Strong understanding of Applied AI and modern ML systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, semantic retrieval, and agentic architectures.
• Proven experience architecting and operationalizing production AI/ML systems, including model deployment, inference, monitoring, evaluation, retraining, and governance.
• Hands-on experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, at least one major cloud provider (AWS, Azure, or Google Cloud), and tools like dbt plus modern AI platforms (for example, Anthropic or OpenAI).
• Proficiency in Python and strong working knowledge of SQL for building, integrating, and troubleshooting data- and AI-intensive solutions.
• Ability to evaluate technology choices and tradeoffs, integrate AI solutions with enterprise data platforms and applications, and apply CI/CD and productionization practices for AI/ML systems.

Benefits at phData LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Commercial Life Sciences leader to help grow and scale phData's Life Sciences - Commercial business across data, analytics, and AI.

You'll lead go-to-market development for our commercial offerings while staying close enough to delivery to shape practical, high-value client solutions - across market access, pricing and reimbursement, patient services, commercial operations, omnichannel, payer analytics, and gross-to-net.

What You'll Do

• Drive Customer Outcomes. Stay relentlessly focused on the client's end goals, evaluating and applying the right data, AI, and platform technologies to deliver tangible business and patient value.
• Serve as a Trusted Advisor. Build strong relationships with commercial, analytics, and data leaders and act as a credible thought partner.
• Drive Sales & Industry Growth. Lead business development that grows phData's commercial footprint across life sciences - shaping proposals, leading client orals, supporting strategic pursuits, and expanding existing accounts against shared revenue goals.
• Identify Expansion Opportunities. Work with account and partner teams to surface adjacent use cases, capture a backlog of next-step opportunities, and turn successful delivery into broader account growth.
• Own & Scale phData's Commercial Accelerators. Own the development of the commercial offerings themselves - defining what they are, what they're worth, and what they need to succeed - while a dedicated team builds them and you stay close enough to keep each build true to the commercial intent.

What Success Looks Like

• A stronger commercial life sciences pipeline, driven by sharper offerings and more effective pursuit support
• Higher win rates and better account expansion through domain-led solutioning
• A growing library of repeatable accelerators, demos, and packaged assets - offerings that get easier to deploy, demonstrate, and scale over time
• Tighter alignment between market demand, the solution roadmap, and delivery
• A faster path from client pain point to scalable solution concept to delivered value

Who You Are

You move fluidly between strategy and execution. You're credible enough to hold executive conversations and shape go-to-market direction, and practical enough to dive into use cases, requirements, and delivery tradeoffs when the work calls for it.

Required Qualifications

• ~10+ years in life sciences, with meaningful time in commercial domain roles, consulting, data and analytics, solution leadership, or adjacent commercial transformation work
• Strong working knowledge of one or more commercial domains: commercial analytics, market access, pricing and reimbursement, patient services, field analytics, omnichannel, commercial operations, or gross-to-net
• Experience shaping and selling data, analytics, digital, or AI-enabled solutions for life sciences clients
• Ability to engage both business and technical stakeholders and translate between commercial priorities and technical approaches
• A track record in client pursuits, proposals, workshops, or strategic account growth
• Comfort operating in ambiguity - structuring problems and moving from concept to execution
• Strong communication: clear narratives, solution framing, and executive-ready materials

Preferred Qualifications

• Experience across both industry and consulting/services/solution environments
• Depth in commercial intelligence platforms, payer analytics, patient access, field force analytics, or AI-enabled commercial workflows
• Direct experience with pharma commercial work such as launch planning, brand performance, segmentation and targeting, next-best-action, or omnichannel analytics
• Familiarity with life sciences commercial data sources and the vendors behind them: claims, formulary, payer, real-world data, specialty pharmacy, hub, HCP/HCO, contracting, and GTN data, via IQVIA, Komodo, Symphony, MMIT, Clarivate/DRG, Definitive Healthcare, Veeva (CRM and Network), or Salesforce Life Sciences Cloud
• Technical fluency across tools like Snowflake, Databricks, AWS, dbt, SQL, Python, R, SAS, Tableau, or Power BI - you don't need to be hands-on in all of them, but you should lead cross-functional conversations across business, data, analytics, ML, and platform teams with credibility
• Experience packaging reusable offerings, accelerators, or market-facing assets
• Co-sell or joint-solution experience with cloud, data, or application vendors
• Exposure to adjacent domains: patient support, provider analytics, or medtech commercial analytics

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Principal Solutions Architect – Managed Services to join our Managed Services team. In this role, you will lead the architecture, operation, and continuous improvement of modern cloud-native data platforms for multiple customers, ensuring they are secure, scalable, and high-performing. You will collaborate closely with clients, engineers, and practice leadership to translate evolving requirements into actionable roadmaps and high-quality outcomes across streaming, data lakes, and analytics workloads.

Key Responsibilities

Client Delivery

• Own and drive the design, provisioning, and enhancement of cloud-native data solutions on AWS and/or Azure, leveraging deep expertise in Snowflake and related data services for enterprise-scale platforms.
• Lead the operation and management of modern data platforms,from streaming and data lakes to analytics,across a progressively evolving technical stack for multiple concurrent customer accounts.
• Translate business and technical requirements into Epics, Stories, and Tasks that mature and improve customers’ data platforms, ensuring timely and successful delivery of these initiatives.
• Provide architectural and operational guidance for cloud-native data warehouses (e.g., Snowflake, Redshift) and distributed storage technologies (e.g., S3, ADLS, NoSQL) to support large user bases.
• Recommend appropriate technologies and approaches to ensure performance, security, scalability, and user satisfaction, including data model design for data warehouses and data lakes.
• Continually identify and deliver automation and optimization opportunities that expand and harden customers’ data platforms and phData’s managed services offerings.

Collaboration & Leadership

• Serve as the technical leader across multiple accounts, providing clear ownership, direction, and decision-making while navigating complex customer environments.
• Delegate work effectively, coach engineers, and mentor team members, fostering upskilling and continuous learning across evolving technology stacks.
• Collaborate across technology stacks and organizational silos to integrate disparate functions and technologies into cohesive solutions.
• Create and deliver detailed technical presentations and recommendations for executive and senior stakeholders, articulating complex concepts clearly and confidently.
• Demonstrate calm, structured thinking under pressure,quickly assessing situations, formulating plans of action, and following through to successful outcomes.
• Manage the human side of delivery, engaging respectfully and confidently with teammates and customers, including during challenging conversations.

Practice & Firm Contribution

• Create, challenge, and improve processes and procedures to enhance the quality, consistency, and scalability of managed services delivery.
• Build automated solutions for repetitive administrative and operational tasks using Python or similar tooling to increase efficiency and reliability.
• Contribute to internal knowledge sharing, training, and upskilling initiatives that raise the technical bar across the team.
• Help refine and standardize patterns, runbooks, and best practices for modern data platforms, workflows, and CI/CD across the practice.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine practice standards, reusable assets, and delivery frameworks.

About You

You are a client-focused technical leader and problem solver who thrives in fast-paced, operations-heavy environments with multiple concurrent customers and evolving requirements. You enjoy tackling complex data challenges, working across technology stacks and organizational boundaries, and turning ambiguity into structured plans and real outcomes. You bring strong presence, clear communication, and a collaborative mindset, valuing authenticity, psychological safety, and follow-through with teammates and clients alike.

Required Qualifications

Experience

• 15+ years of experience architecting, operating, and optimizing modern cloud-based data platforms and data warehouses in enterprise environments.

Technical / Functional Skills

• Advanced data platform expertise in Snowflake and at least one major cloud platform (AWS and/or Azure), with experience in Databricks or similar technologies.
• Hands-on experience with cloud and distributed data storage technologies such as S3, ADLS, Cassandra, or other NoSQL systems.
• Strong background in data integration technologies, including Spark, Kafka, event/streaming platforms, and tools such as Matillion, Fivetran, HVR, AWS Data Migration Services, and Azure Data Factory.
• Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, and Luigi.
• Strong SQL skills, including the ability to write, debug, and optimize complex queries for performance and reliability.
• Extensive experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience building automated solutions for repetitive administrative or operational tasks using Python or a similar language.
• Familiarity with CI/CD and deployment frameworks, including tools like Bitbucket, GitHub, Flyway, and Liquibase.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Experience delivering projects and managed services for external or internal clients in a professional services, consulting, or complex enterprise environment.
• Ability to break down complex, multifaceted data challenges into structured, actionable steps and drive them through to completion.
• Proven experience as a technical team lead and mentor, providing direction, coaching, and quality oversight for engineers.
• Strong client-facing written and verbal communication skills, including comfort presenting detailed technical content to executive audiences.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed, cross-functional teams across platforms, applications, and organizational boundaries.
• Professional track record of creating, challenging, and improving processes and procedures to enhance delivery quality and efficiency.
• Unmatched troubleshooting and performance tuning skills, with a strong sense of ownership and follow-through.
• Presence and poise to manage the human side of delivery, including difficult conversations, while upholding a respectful and collaborative culture.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Snowflake SnowPro Core certification.
• One or more Snowflake advanced certifications.
• Bachelor’s degree in Computer Science or a related field.
• Experience in managed services, operations-focused roles, or similar environments supporting multiple customers simultaneously.
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Contributions to open source, technical communities, speaking, writing, or internal accelerators are a plus.

Location & Time Zone Expectations

This role is based in US and operates primarily in Central and/or Eastern time zones with significant overlap to US Central Time.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Medical, Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

Job Data by YubHub.

We are looking for a Principal Machine Learning Solutions Architect to join our Applied AI team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that deliver measurable business value for our clients.

Key Responsibilities:

• Own and drive end-to-end solution design and delivery of AI/ML and data solutions for strategic client accounts, ensuring reliable model deployment, retraining, monitoring, and production operations that create clear business impact.
• Translate complex business and data science requirements into scalable, secure, and resilient AI/ML architectures, defining the environments, data flows, and infrastructure required for model development, training, tuning, and serving.
• Lead technical and strategic client engagements, including workshops, discovery sessions, and architecture reviews, to align stakeholders on AI/ML roadmaps, deployment approaches, and production-readiness standards.
• Ensure the quality, reliability, and observability of AI/ML solutions through robust testing strategies, documentation, monitoring, and governance that meet security, compliance, and performance expectations.
• Contribute to and leverage reusable assets such as reference architectures, accelerators, templates, and playbooks, while mentoring team members and partnering with Sales and account leadership to grow strategic AI/ML engagements.

About You: You are a customer-obsessed technical leader and consultant who enjoys solving complex data and AI/ML challenges while building trusted relationships with clients. You are equally comfortable discussing architecture with executives and diving deep into code, infrastructure, and data pipelines with engineering teams.

Required Qualifications:

• 10+ years of experience as a Machine Learning Engineer, Software Engineer, Data Engineer, or Data Scientist building and deploying production data and machine learning solutions.

Technical / Functional Skills

• Strong proficiency in a modern programming language such as Python (or similar) for building production-grade data and ML solutions, including experience designing and integrating APIs and services that expose ML models.
• Ability to build and operate robust data pipelines across diverse data sources and toolsets, with strong working knowledge of SQL and experience writing, debugging, and optimizing complex and distributed queries.
• Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS, or similar large-scale data processing and storage technologies.
• Familiarity with multiple data source systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP, and how they integrate into analytical and ML environments.
• Systems-level knowledge of network and cloud architecture, Linux-based operating systems, and storage/compute platforms (e.g., AWS, Databricks, Cloudera), with proven experience designing and operating production ML systems for performance, security, scalability, and reliability.
• End-to-end software development lifecycle experience (design, documentation, implementation, testing, deployment, and ongoing operations) for data and ML solutions, including model deployment, monitoring, and lifecycle management.

Benefits at phData US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

Job Data by YubHub.

We are looking for a Principal Client Account Lead to support a strategic customer in the Food Service and Beverage industry. You will lead defined client relationships, workstreams, and expansion opportunities within the account. You will turn account strategy into action, connect business priorities to Data and AI solutions, and coordinate Sales, Technical Account Leads, Delivery, and partners to deliver measurable outcomes.

Client Leadership and Account Execution

• Translate account strategy into clear plans for assigned stakeholders, workstreams, and priorities, with defined ownership, milestones, and next actions.
• Build trusted relationships with senior business and technology leaders.
• Lead selected client conversations, workshops, roadmap discussions, and QBRs in partnership with the overall Client Account Lead.
• Maintain visibility into client priorities, stakeholder dynamics, delivery health, and risks.

Delivery and Client Outcomes

• Partner with Delivery, Technical Account Leads, and Practice leaders to keep assigned engagements aligned to client objectives, scope, quality, and measurable business value.
• Translate business priorities into practical programs spanning data platforms, governance, analytics, and AI.
• Help teams address customer intelligence, forecasting, personalization, loyalty, and operational efficiency.

Growth and Commercial Partnership

• Identify unmet needs and expansion opportunities within assigned stakeholder groups and workstreams.
• Qualify and advance them with the overall Client Account Lead, Sales, technical leaders, and partners.
• Shape proposals, statements of work, business cases, roadmaps, and executive narratives.

Cross-Functional Leadership and Firm Contribution

• Align Sales, Delivery, Finance, Practices, and Partners around priorities, dependencies, and decisions.
• Mentor team members and model principal-level operating discipline.
• Share Food Service and Beverage insights, deal learnings, and delivery patterns through playbooks, reusable assets, and account governance practices.

About You You combine commercial judgment, delivery fluency, and strong client leadership. You create clarity in ambiguous situations, influence without formal authority, and connect client relationships, delivery outcomes, and growth.

Required Qualifications

• 6+ years of experience in consulting, professional services, or other complex client-facing environments.
• Proven experience leading enterprise client workstreams, multi-engagement programs, or defined portfolios within a strategic account.
• Experience identifying, shaping, and advancing expansion opportunities within existing enterprise clients.
• Experience working in a matrixed environment with Sales, Delivery, technical teams, Finance, and partners.

Technical and Functional Skills

• Experience connecting business priorities to Data, Analytics, Cloud, and AI solutions.
• Sufficient fluency in modern data platforms, data engineering, governance, analytics, machine learning, and AI.
• Ability to structure ambiguous client problems, develop a clear value hypothesis, and translate it into an actionable roadmap.

Benefits at phData US

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

phData is seeking a Forward Deployed Strategist to join our Advisory team. The Forward Deployed Strategist is a business-first consultant who helps clients rapidly identify, shape, and accelerate high-value AI and data opportunities.

Core Responsibilities

• Client Discovery & Opportunity Framing

Quickly understand and internalize client challenges, constraints, stakeholder dynamics, and workflow realities. Identify high-value opportunities by immersing in business operations and uncovering messy, manual, cross-functional workflows that are addressable with AI solutions. Translate ambiguous business problems into crisply framed problem statements, use cases, hypotheses, and MVP scopes that can be validated quickly. Lead workshops, interviews, working sessions, and art-of-the-possible conversations that create alignment, momentum, and a practical path forward. Bring a user-centered design mindset to the solution identification process.

• Business Value, Communication & Executive Storytelling

Define success in terms of business KPIs and quantify measurable business value to justify investment in MVPs and solutions. Maintain a transparent link between use cases, expected outcomes, and the client’s broader technology roadmap. Build strong relationships with business executives, functional leaders, and end users by communicating clearly, listening actively, and facilitating productive decisions. Bridge the gap between business needs and technology by developing balanced technical, organizational, and process recommendations, along with compelling narratives and rigorous business cases for AI and data investments. Act as a translator between business and technical teams, helping stakeholders understand trade-offs, risks, dependencies, timelines, and the path from MVP to a scaled solution.

• Prototype Activation & Scale Readiness

Prototype and iterate solutions using low/no-code and AI-assisted tools to showcase value early. Work hand in hand with phData technologists to bring solutions to life quickly and frame the business value in a way stakeholders can understand. Surface platform, data, workflow, and operating model gaps that must be addressed to scale successful patterns beyond MVP. Help clients rethink how work gets done, not just which tools they use, by driving adoption-minded solution design and strong change communication.

• Client Leadership & Engagement Ownership

Serve as the consulting-forward, business-facing lead for the work, helping manage scope and risk while maintaining strong executive-level stakeholder relationships. Create alignment around priorities, next steps, and decision points so that discovery, prototyping, and scaling efforts stay focused on measurable outcomes. Partner with client and phData teams to move validated ideas toward scalable delivery and broader organizational impact. Work alongside clients, in person as needed, to drive business outcomes.

Required Experience

• 5+ years of experience in consulting with a passion for technology-driven process optimization.
• Exceptional written and verbal communication skills, including executive storytelling, workshop leadership, active listening, and business-case development.
• Demonstrated ability to build trust with business executives, functional leaders, and end users in ambiguous, fast-moving environments.
• Strong consulting presence with the ability to facilitate productive conversations, challenge assumptions constructively, and guide clients toward practical decisions.
• Experience translating ambiguous business problems into structured problem statements, use cases, hypotheses, and MVP scopes.
• Ability to connect solution ideas to measurable business value through KPIs, ROI logic, adoption metrics, cycle-time improvements, risk reduction, and time-to-value framing.
• Experience partnering with technical teams to move from business requirements to prototypes, pilots, and scalable solutions.
• Comfort working hands-on with AI copilots, analytics tools, workflow tools, and low/no-code platforms to accelerate discovery, prototyping, and validation.
• Deep empathy for users and a willingness to immerse in how work really gets done, including exceptions, workarounds, and organizational friction.
• High ownership, sound judgment, and comfort making progress without perfect requirements.
• Bachelor’s degree in business, analytics, engineering, information systems, design, or a related field, or equivalent practical experience.

Preferred Experience

• Master's degree in business administration (MBA).
• Exposure to modern data and AI platforms, self-service analytics, workflow automation, or low/no-code tooling.
• Experience building business cases for new technology investments and influencing executive stakeholders.
• Experience working alongside engineers, solution architects, or delivery teams in client-service environments.
• Familiarity with change management, adoption planning, or operating-model design.

Benefits

• phData celebrates diversity and is committed to creating an inclusive environment for all employees.
• Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.
• We are proud to be an equal opportunity employer.

Job Data by YubHub.

We are looking for a Principal Analytics Consultant who specializes in Sigma to help our customers gain tangible value from their data. In this role, you will lead end-to-end analytics engagements and build scalable Sigma solutions that help clients realize measurable business value.

Key Responsibilities:

• Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Sigma solutions.
• Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions aligned to each client's business context and data environment.
• Facilitate client working sessions to clarify ambiguous business needs, define analytical requirements, align stakeholders on priorities and risks, and drive decisions.
• Design and develop Sigma workbooks, dashboards, governed datasets, and self-service analytics experiences that enable business users to explore and act on data.
• Apply strong SQL, data modeling, and data visualization practices to connect Sigma solutions to cloud data warehouses, data marts, and analytical data structures.
• Establish quality standards for analytics deliverables, reviewing solutions for technical quality, usability, performance, scalability, and alignment to best practices.
• Recommend governance, security, access, workspace, and operating-model practices that support enterprise-scale Sigma adoption.
• Analyze, troubleshoot, and optimize data models, workbooks, reports, platform configurations, and deployment issues when required.
• Manage client expectations through clear status reporting, proactive communication, feedback loops, and transparent escalation of risks and dependencies.
• Partner with account and practice leaders to identify new use cases, extension opportunities, and reusable accelerators that deepen client value and support growth of the Analytics practice.
• Lead or mentor consultants and contribute to staffing, utilization, delivery planning, workstream budgets, and overall project performance.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

About You: You are a client-focused analytics practitioner who enjoys leading delivery, solving complex data problems, and creating practical, well-designed solutions. You bring strong technical judgment, executive presence, and the ability to move comfortably between business strategy, analytics architecture, hands-on development, and team leadership.

Required Qualifications:

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
• Demonstrated expertise designing and delivering analytics solutions with Sigma, including workbook development, data exploration, visualization, and self-service analytics experiences.
• Strong SQL skills and experience working with cloud data warehouses, data marts, semantic models, and analytical data structures; Snowflake experience is preferred.
• Strong understanding of data modeling, metric definition, visualization design, performance optimization, and analytics architecture.
• Experience establishing or operating Sigma governance practices, including access management, security, workspace organization, deployment practices, and platform administration.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, and risks to technical and business stakeholders.
• Exceptional customer-facing communication, facilitation, project management, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and mastering new technologies, techniques, and procedures.

Benefits at phData LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Enterprises are investing in AI and data platforms at a record pace. Few have the product leadership to turn that investment into measurable outcomes. phData is changing that, and we need a Director to lead the way.

Core Responsibilities

Delivery & Engagement Leadership

• Own the design, delivery, quality, scope, and financial performance of AI and data product engagements across a portfolio of client accounts, serving as engagement leader on key programs.
• Translate complex client requirements into scalable product strategies.
• Define and enforce specification quality, backlog standards, and adoption KPIs across all team engagements to drive root-cause fixes.
• Build trusted relationships with executive client sponsors (CDO, CTO, CAO, VP of Product) and shape multi-phase roadmaps from MVC to scale.

Team Leadership & Portfolio Management

• Plan staffing and capacity across the practice; balance utilization, growth, and delivery commitments at scale.
• Own the recruiting pipeline to identify, attract, and hire high-caliber talent that meets and/or exceeds the standard for delivery excellence.

Go-to-Market & Commercial Ownership

• Own GTM strategy, pipeline targets, and revenue outcomes for product management.
• Lead pre-sales engagements, including discovery sessions, executive workshops, SOW scoping, and storytelling that connects product management to measurable business outcomes.
• Accountable for the development of phData's Product Management standards, delivery frameworks, and reusable assets.
• Define AI productivity standards and evaluation models across the team; ensure AI fluency translates to measurable business value.

Required Qualifications

• 10+ years of product management experience, with at least 3 years in a consulting, professional services, or advisory environment.
• Proven track record leading and managing product managers with accountability for team utilization, performance, and client satisfaction.
• Experience owning a portfolio of client accounts with direct responsibility for delivery quality, scope, and financial performance.
• Demonstrated success building and scaling data or AI products from MVP to production.
• Deep understanding of the modern data and AI stack (Snowflake, cloud platforms, BI tools, agentic AI frameworks) and the ability to guide strategic product decisions at that level.
• Proficient in product operating models; backlog management, specification quality, KPI frameworks, Business Acceptance criteria, and Value Realization Plans.
• Experience designing AI-assisted product workflows and embedding AI productivity tools into team delivery; ability to evaluate and enforce AI adoption standards across a portfolio.
• Demonstrated pre-sales track record; SOW development, executive proposals, and closing consulting engagements.
• Strong executive communication and storytelling skills; able to translate product complexity into business impact for CDO, CTO, and board-level audiences.
• Experience proactively identifying delivery risks, escalating effectively, and driving root-cause accountability across multi-engagement portfolios.
• Experience at a top-tier data, AI, or management consulting firm preferred.
• Prior experience working in global or remote teams and partnering across the U.S., LATAM, and/or India.
• Willingness and ability to travel up to 50% (10 of 20 days per month).

Success Measures for this Role

• Revenue & Growth - Product bookings and revenue - Product pipeline growth - Net revenue retention.
• Delivery & Quality - Customer satisfaction, extensions, and expansions - Reduction in delivery escalations.
• Team & Practice - Team utilization, growth, and performance calibration outcomes - Quality and reuse of product standards, delivery frameworks, and reusable assets - Measurable productivity gains from AI-assisted workflows across the team.

Job Data by YubHub.

We are looking for a Principal Analytics Consultant who specializes in Sigma to help our customers gain tangible value from their data. In this role, you will lead end-to-end analytics engagements and build scalable Sigma solutions that help clients realize measurable business value.

Key Responsibilities:

• Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Sigma solutions.
• Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions aligned to each client's business context and data environment.
• Facilitate client working sessions to clarify ambiguous business needs, define analytical requirements, align stakeholders on priorities and risks, and drive decisions.
• Design and develop Sigma workbooks, dashboards, governed datasets, and self-service analytics experiences that enable business users to explore and act on data.
• Apply strong SQL, data modeling, and data visualization practices to connect Sigma solutions to cloud data warehouses, data marts, and analytical data structures.
• Establish quality standards for analytics deliverables, reviewing solutions for technical quality, usability, performance, scalability, and alignment to best practices.
• Recommend governance, security, access, workspace, and operating-model practices that support enterprise-scale Sigma adoption.
• Analyze, troubleshoot, and optimize data models, workbooks, reports, platform configurations, and deployment issues when required.
• Manage client expectations through clear status reporting, proactive communication, feedback loops, and transparent escalation of risks and dependencies.
• Partner with account and practice leaders to identify new use cases, extension opportunities, and reusable accelerators that deepen client value and support growth of the Analytics practice.
• Lead or mentor consultants and contribute to staffing, utilization, delivery planning, workstream budgets, and overall project performance.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

About You: You are a client-focused analytics practitioner who enjoys leading delivery, solving complex data problems, and creating practical, well-designed solutions. You bring strong technical judgment, executive presence, and the ability to move comfortably between business strategy, analytics architecture, hands-on development, and team leadership.

Required Qualifications:

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
• Demonstrated expertise designing and delivering analytics solutions with Sigma, including workbook development, data exploration, visualization, and self-service analytics experiences.
• Strong SQL skills and experience working with cloud data warehouses, data marts, semantic models, and analytical data structures; Snowflake experience is preferred.
• Strong understanding of data modeling, metric definition, visualization design, performance optimization, and analytics architecture.
• Experience establishing or operating Sigma governance practices, including access management, security, workspace organization, deployment practices, and platform administration.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, and risks to technical and business stakeholders.
• Exceptional customer-facing communication, facilitation, project management, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and mastering new technologies, techniques, and procedures.

Benefits at phData US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

As a Principal Analytics Consultant specializing in Power BI, you will lead complex analytics engagements and help customers realize measurable value from their data. You will combine deep Power BI expertise with strong consulting judgment, executive presence, and delivery leadership.

Key Responsibilities:

• Lead end-to-end Power BI engagements and workstreams, including planning, discovery, requirements, prototyping, development, testing, deployment, enablement, and adoption.
• Establish the overall technical approach, solution architecture, backlog, delivery sequence, and quality standards for scalable Power BI solutions.
• Design and develop Power BI semantic models, reports, dashboards, data products, and self-service analytics experiences that are intuitive, performant, governed, and aligned to business outcomes.
• Apply strong practices in dimensional modeling, DAX, Power Query, SQL, data visualization, metric definition, and performance optimization.
• Connect Power BI solutions to enterprise data warehouses, data marts, lakehouses, semantic models, and other analytical data structures.
• Lead client discovery and working sessions that clarify ambiguous needs, define analytical requirements, align stakeholders, surface tradeoffs, and drive decisions.
• Advise clients on Power BI governance and operating models, including workspace strategy, security, access management, deployment practices, platform administration, adoption, and performance.
• Review and improve existing reports, semantic models, platform configurations, and deployment practices to identify opportunities for optimization, standardization, and scale.
• Manage client expectations through clear communication, status reporting, feedback loops, risk management, transparent escalation, and alignment on decisions and dependencies.
• Provide technical leadership and mentorship to consultants and delivery teams; establish a high bar for quality, usability, maintainability, and client value.
• Contribute to staffing plans, utilization planning, delivery planning, workstream budgets, estimates, and overall project performance.
• Partner with account and practice leaders on discovery, proposals, solution shaping, estimates, and expansion opportunities that deepen client value and support Analytics practice growth.
• Develop reusable Power BI accelerators, frameworks, templates, enablement materials, and points of view that improve delivery consistency and market impact.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

Required Qualifications:

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
• Experience leading complex delivery teams or workstreams and mentoring consultants or technical practitioners.
• Experience contributing to delivery planning, estimates, staffing, utilization, budgets, proposals, or practice development.

Technical and Functional Skills:

• Demonstrated expertise designing and delivering enterprise Power BI solutions, including semantic modeling, report and dashboard development, DAX, Power Query, data visualization, and performance optimization.
• Strong SQL skills and experience working with cloud data warehouses, data marts, lakehouses, semantic models, and analytical data structures.
• Experience with Power BI Service administration and enterprise enablement, including workspace strategy, security roles, access management, deployment practices, platform configuration, governance, and adoption.
• Strong understanding of analytics architecture, data modeling, metric definition, visualization design, usability, scalability, and maintainability.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, risks, and dependencies to technical and executive stakeholders.
• Exceptional customer-facing communication, facilitation, project leadership, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and applying new technologies, techniques, and procedures.

Benefits at phData US:

• Remote-first work environment
• 401(k) plan with company match
• Dental and vision insurance
• Home office equipment stipend
• Annual learning and development stipend
• Competitive compensation, excellent benefits, four weeks of paid time off, 10 holidays, and other perks

Job Data by YubHub.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

You will own a portfolio of strategic, industry-focused accounts, driving growth, profitability, and executive relationships while helping clients formulate and realize their AI & Data goals. You will collaborate closely with client executives, Sales, Technical Account Leads, Delivery leaders, and ecosystem partners to deliver high-impact programs and advance phData’s delivery excellence.

Key Responsibilities

Client Delivery

• Own and drive account strategy, delivery, and growth for a portfolio of strategic, industry-focused accounts, creating and executing long-term growth plans aligned to client goals and phData’s capabilities.
• Translate client business objectives and AI & Data goals into strategic programs spanning data platforms, pipelines, governance, analytics, and AI, in partnership with data engineering, analytics, and ML teams.
• Ensure engagements across your portfolio are delivered on time, within scope, and with strong profitability and measurable business value, maintaining ~40% utilization to stay close to delivery and client outcomes.

Collaboration & Leadership

• Collaborate with cross-functional partners across Go-to-Market, Delivery, Finance, Product, and Partner teams to align on account health, project success, and future opportunity.
• Provide strategic leadership during executive meetings, workshops, QBRs, and roadmap discussions, positioning phData as a trusted advisor to both business and IT stakeholders.
• Ensure high-quality deliverables by staying engaged with delivery teams, reviewing performance metrics, and driving governance, risk management, and issue resolution across accounts.
• Partner with ecosystem providers (e.g., Anthropic, Snowflake, AWS) to design and execute joint account strategies that bring added value to clients and accelerate portfolio growth.

Practice & Firm Contribution

• Contribute to internal initiatives such as industry playbooks, account planning frameworks, sales enablement materials, and patterns for driving AI & Data outcomes in your verticals.
• Represent phData professionally at industry events, conferences, and panels, helping elevate our presence and reputation in Restaurant/Hospitality, Technology, and other priority sectors.
• Share best practices, deal learnings, and client insights to help improve phData’s client engagement model, forecasting, and overall delivery excellence.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine practice standards, reusable assets, and delivery frameworks.

About You

You are a client-focused, strategic account leader and trusted advisor who enjoys working in a fast-paced, outcomes-driven environment. You are a value-driven communicator, relationship builder, and strategic thinker who is comfortable operating in distributed, global teams and partnering with colleagues across time zones to drive complex, high-impact work.

Required Qualifications

• 10+ years of experience in consulting or similar data-driven verticals, including ownership of strategic account portfolios and revenue targets in the $10–20M+ range.
• Hands-on experience collaborating with data engineering, analytics, and ML teams to design, sell, and oversee implementation of modern data solutions (data platforms, pipelines, governance, analytics, and AI).
• Proven ability to own revenue and profitability across a portfolio of strategic accounts, delivering growth through both net-new and expansion work.
• Experience delivering projects for external or internal clients in a professional services or consulting environment.
• Ability to break down complex problems into structured, actionable steps and drive them through to completion.
• Strong written and verbal communication skills in English, including experience leading executive-level conversations and influencing cross-functional stakeholders.
• Demonstrated ability to work effectively within matrixed, distributed, and cross-functional teams across Sales, Delivery, Product, and Partners.
• Proven track record of building and sustaining CxO and senior executive relationships, influencing strategic roadmaps across both IT and business stakeholders.
• Willingness and ability to travel up to 50%, depending on client needs and business priorities, while taking full ownership of account outcomes.

Preferred Qualifications

• Experience in the Restaurant/Hospitality and/or Financial Services sectors, with meaningful exposure to data, analytics, or AI-driven transformation.
• Hands-on experience with cloud data platforms and ecosystems (e.g., Snowflake, AWS, Databricks, Anthropic) and familiarity with modern data architectures and use cases.
• Prior experience working in global or remote teams and partnering across US and other regions.
• Contributions to communities, speaking, writing, or internal accelerators (e.g., industry events, thought leadership, or sales/solutions playbooks) are a plus.

Benefits at phData US

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, Flexible PTO plus 10 Holidays

Job Data by YubHub.

The Business Systems Architect is responsible for designing, implementing, and evolving enterprise platform architecture solutions that support scalable, secure, and efficient business operations.

Primary Responsibilities and Duties:

• Convert ambiguous stakeholder needs into prioritized projects with measurable success criteria.
• Own requirements intake, discovery, process mapping, impact analysis, and scoping for cross-functional business systems initiatives.
• Finalize solution designs and coordinate end-to-end technical implementation, including test planning, end-user UAT, defect resolution, deployment, post-deployment validation, and historical data reconciliation.
• Own ongoing data quality, including establishing monitoring, cleansing, validation, migration/backloading, and reconciliation as gaps are identified or data models evolve.
• Design and maintain enterprise architecture solutions for IT-owned systems and platforms
• Lead architecture efforts for moderately complex cross-functional initiatives
• Translate business and operational requirements into scalable technical solutions
• Define integration approaches across various SaaS and cloud platforms
• Support AI and automation initiatives through architecture guidance and implementation support
• Evaluate emerging technologies and provide recommendations aligned to business needs
• Ensure architecture solutions align with security, compliance, and governance standards
• Collaborate with IT and business teams on solution delivery
• Identify opportunities to optimize system performance, scalability, resiliency, and cost
• Provide technical mentorship and guidance to team members and project teams
• Contribute to architectural standards, documentation, and best practices
• Support vendor evaluations and technology selection activities
• Governance and administration of enterprise platforms, including role-based access controls, license management, and cost optimization

About You:

• You’re a collaborative and solutions-focused technologist with a strong foundation in enterprise architecture and modern platforms.
• You enjoy solving complex problems, working across teams, and building scalable, secure solutions that drive real impact.
• You take extreme ownership of outcomes, are comfortable leading through ambiguity, and can move between executive-level business conversations and detailed technical decisions.
• You build trust by making complexity understandable, surfacing risks early, and following problems through from discovery to measurable results.
• You care deeply about the quality and usefulness of the systems you build.
• You are willing to challenge assumptions and adapt quickly as requirements change.

What You Bring:

• Experience with enterprise systems, cloud/hybrid environments, and integration design (API, SaaS)
• Experience with enterprise systems such as Salesforce, Certinia, Rippling, and Greenhouse
• Strong problem-solving skills and the ability to troubleshoot complex technical issues
• Ability to communicate clearly with both technical and non-technical stakeholders
• A thoughtful approach to security, governance, and performance optimization
• A balance of hands-on execution and long-term architectural thinking

Core Experience:

• 8+ years in systems, application, or enterprise architecture (or similar roles)
• Experience designing and delivering enterprise technology solutions
• Solid understanding of infrastructure, system design, and security principles
• Proven ability to partner with cross-functional teams and evaluate technical solutions
• Familiarity with architecture frameworks or security/compliance standards
• Exposure to vendor selection or mentoring team members

Preferred Additional Experience:

• Experience with AI, automation, or modernization initiatives

Job Data by YubHub.

In this role, you will lead the architecture and hands-on implementation of high-impact, production-ready agentic AI solutions that reason, retrieve, act, and integrate with enterprise systems to deliver measurable business outcomes.

Key Responsibilities:

• Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries.
• Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform.
• Translate ambiguous business problems into clear agentic solution designs.
• Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

Collaboration & Leadership:

• Collaborate with others to shape the architectural standards for agentic capabilities and accelerators.
• Establish the foundation of the India Agentic Delivery Center.
• Engage with cross-functional partners to deliver successful client engagements.
• Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards.

Practice & Firm Contribution:

• Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering.
• Represent phData with professionalism in all interactions.

Additional Responsibilities:

• Act as a trusted advisor to senior client stakeholders.
• Mentor and coach team members.
• Help define and refine practice standards, reusable assets, and delivery frameworks.

About You:

• You are a technical leader and client-focused consultant with experience turning complex problems into robust, production-ready agentic systems.
• You have 6+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production AI/ML solutions.

Required Qualifications:

• Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks.
• Experience with LLM orchestration frameworks and the broader agentic stack.
• Experience designing evaluation, guardrail, and observability strategies for LLM and agent systems.
• Hands-on experience in modern programming languages, such as Python.
• Deep expertise in cloud-native AI/ML platforms.
• Complete software development lifecycle experience.
• Demonstrated use of AI-assisted development tooling.
• Strong working knowledge of SQL.

Consulting / Delivery Skills:

• Experience delivering projects for external or internal clients in a professional services or consulting environment.
• Ability to break down ambiguous problems into structured, actionable steps.
• Excellent written and verbal communication skills.

Collaboration & Ownership:

• Demonstrated ability to work effectively with distributed and cross-functional teams.
• Proven track record of taking ownership and delivering high-quality work.
• Experience building reusable accelerators, modular codebases, or products deployed across multiple clients.

Job Data by YubHub.

We are looking for an Agentic AI Solutions Architect to join our Applied AI team in our Agentic Delivery Center. In this role, you will lead the architecture and hands-on implementation of high-impact, production-ready agentic AI solutions that reason, retrieve, act, and integrate with enterprise systems to deliver measurable business outcomes.

Key Responsibilities

• Agentic Architecture & Client Delivery
• Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries.
• Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients in a fixed-price format.
• Translate ambiguous business problems into clear agentic solution designs that align with the phData Intelligence Platform, methodologies, standards, and best practices.
• Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance before and after deployment.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

• Collaboration & Leadership
• Collaborate with others to shape the architectural standards for how agentic capabilities and accelerators are built and deployed at clients.
• Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients.
• Establish the foundation of our India Agentic Delivery Center, by developing patterns, tooling, and ways of working that scale.
• Engage with cross-functional partners, including forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders, to deliver successful client engagements.
• Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards.
• Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating AI solutions.

• Practice & Firm Contribution
• Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine practice standards, reusable assets, and delivery frameworks.

About You

You are a technical leader and client-focused consultant who enjoys turning complex, ambiguous problems into robust, production-ready agentic systems. You are opinionated and prescriptive about how good agents are built, comfortable working across data, infrastructure, and application layers, and energized by a zero-to-one environment where you are the technical bar. You thrive in an outcomes-driven environment, partnering with clients to engineers to design and build architectures that are performant, secure, scalable, and maintainable.

Required Qualifications

• 6+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production AI/ML solutions, including recent hands-on experience building LLM-powered or agentic applications.

Technical / Functional Skills

• Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling.
• Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP).
• Experience designing evaluation, guardrail, and observability strategies for LLM and agent systems (LLMOps/AgentOps).
• Hands-on experience in modern programming languages, such as Python, including developing APIs.
• Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production.
• Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations.
• Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality.
• Strong working knowledge of SQL and the ability to write, debug, and optimize complex and distributed queries.

Consulting / Delivery Skills

• Experience delivering projects for external or internal clients in a professional services or consulting environment, ideally in a fixed-bid capacity.
• Ability to break down ambiguous problems into structured, actionable steps and drive them through to completion.
• Excellent written and verbal communication in English, with experience presenting technical solutions to clients and facilitating discussions with both technical and business stakeholders.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India.
• Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.

Education

• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience preferred.

Benefits at phData

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content

Job Data by YubHub.

We're looking for an AI Services lead to join our Client Services team. This role will lead our commercial strategy, methodology, and client success for the Anthropic private equity channel.

Key Responsibilities

• Own the private equity vertical within the Anthropic partnership, building and managing relationships at the fund level and driving AI activation and client success across portfolio companies.
• Partner with funds and portcos to develop and apply AI value creation frameworks tailored to PE investment theses, connecting Claude-powered solutions to EBITDA improvement, operational efficiency, and exit readiness.
• Lead the origination and shaping of engagements across the PE portfolio lifecycle: due diligence, post-close integration, value creation, and exit preparation.
• Act as the primary executive sponsor for PE-focused accounts present in partner-level conversations, credible in CFO and operating partner discussions, and accountable for the outcome.
• Build and maintain account plans that extend across fund relationships, not just individual portfolio companies, turning a single PE firm into a multi-portfolio, multi-year program.
• Partner with Anthropic's financial services and enterprise field teams to coordinate go-to-market motions, co-develop proposals, and align on account strategy.
• Shape how phData engages the PE market by building playbooks, value frameworks, and repeatable patterns that form the foundation for a scalable vertical.
• Mentor delivery leaders and account teams embedded in PE engagements, ensuring the quality of client relationships and AI outcomes meets the bar this industry demands.

About You

You are financially fluent, commercially aggressive, and deeply familiar with how private equity firms evaluate and create value. You understand that in PE, everything is measured, and you hold your AI programs to the same standard.

The traits below aren't aspirational; they describe who you already are:

• Extreme Ownership: You consider "business as usual" in your account plan a failure. Stagnant accounts are a personal problem you refuse to tolerate. You push action, create momentum, and treat every week without a clear next use case as a gap you need to close.
• Order Maker, Not Order Taker: PE firms don't hire advisors who respond to RFPs. They hire people who come in with a point of view on where value is being left on the table and a concrete plan to capture it. You are that person. You walk into every GP meeting with a proposed next chapter, not a recap of the last one.
• Financially Grounded: You speak the language of private equity fluently, EBITDA, hold period, operating leverage, portfolio roll-up, and exit multiple. You don't need someone to translate business outcomes into financial impact. You do that yourself, and you build it into every proposal you write.
• Attention to Detail: You believe sloppy account management is a trust destroyer, and trust is harder to rebuild in PE than in any other industry. The account plan is accurate. The value creation tracker is live. The engagement status reflects reality. You don't let things drift.

Required Qualifications

• 10–15+ years of experience in a hybrid client advisory and commercial role within consulting, professional services, or financial services with direct accountability for engagement quality and revenue growth.
• Demonstrated experience working with or within private equity firms, portfolio companies, or financial services organizations with a clear understanding of how PE firms make investment and operating decisions.
• Track record scoping and delivering $500K–$5M+ services programs with measurable financial outcomes (EBITDA improvement, cost reduction, revenue acceleration, or operational efficiency).
• History of building multi-account, multi-engagement programs, not just managing individual projects with responsibility for the growth of the overall portfolio.
• Proven ability to operate at the GP, CFO, and operating partner level as a credible, trusted advisor, not just a delivery contact.
• Experience building AI or data value creation frameworks that connect technology investment to quantifiable business and financial outcomes.
• Comfort operating with limited structure in a high-growth, matrixed environment where the playbook is still being written.
• Willingness to travel up to 50% based on client and partner needs.

Technical / Functional Skills

• Sufficient AI/data fluency to shape engagements involving agentic AI, LLM-powered workflows, and data infrastructure, including RAG, agent orchestration, MCP-style integrations, and AI evals without requiring a technical co-lead to define the solution.
• Direct experience with Anthropic (Claude for Work, API, or Enterprise) or a comparable LLM platform, with the ability to articulate where Claude creates differentiated value for financial services use cases.
• Financial modeling and business case development capability able to build or validate an ROI model, connect AI outcomes to EBITDA impact, and present it credibly to a PE investment committee or operating partner.

Preferred Qualifications

• CPA, CFA, or MBA with a finance or accounting concentration, or equivalent, demonstrating financial fluency in a client-facing role.
• Direct experience building or operating within a PE-focused practice at a consulting or technology services firm.
• Prior success designing and executing AI value creation programs specifically within PE-backed portfolio companies with documented financial impact.
• Existing relationships within the private equity ecosystem (GPs, operating partners, portfolio CFOs) that are relevant to the Anthropic partnership.
• Experience in structuring fund-level AI strategies that span multiple portfolio companies under a single investment thesis.

Benefits

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, Flexible PTO plan plus 10 Holidays

Job Data by YubHub.

We're looking for an AI Services Lead to join our Client Services team, focusing on our partnership with Anthropic. You'll help land the Anthropic account and own everything that comes after. You're in the room from the beginning, shaping the deal, setting the vision, and building the roadmap that turns an initial commitment into a multi-year AI transformation.

Key Responsibilities

• Lead activation for newly landed Anthropic-focused accounts, rapidly moving them from initial interest into well-scoped, active engagements that align with client AI/data maturity.
• Own end-to-end delivery oversight for your accounts, staying close enough to identify technical and delivery risk early.
• Build and maintain documented account plans and use-case backlogs that turn initial pilots or workshops into multi-phase, multi-workstream AI transformation programs.
• Become a trusted advisor to senior client stakeholders (IT and line-of-business), shaping AI and data roadmaps that leverage Anthropic and related capabilities to drive measurable business outcomes.
• Partner with Anthropic’s field team and internal Sales, Marketing, and Delivery leadership to identify, shape, and close expansion opportunities across your portfolio of accounts.
• Provide strategic leadership during executive meetings, QBRs, and roadmap discussions, positioning phData as a trusted advisor to both business and technology stakeholders.
• Mentor team members and foster a culture of learning, feedback, and continuous improvement.
• Contribute to internal playbooks, account planning frameworks, and repeatable patterns for driving AI & Data outcomes.
• Share best practices and client insights to improve phData's engagement model and delivery excellence.

About You You are a commercially minded, technically fluent client leader. You thrive in ambiguity, move fast, and don't wait for permission to drive outcomes. The traits below aren't aspirational; they describe who you already are:

• Extreme Ownership: You consider "business as usual" in your account plan a failure. Stagnant accounts are a personal problem you refuse to tolerate.
• Order Maker, Not Order Taker: Your clients don't tell you what to build next. You tell them.
• Attention to Detail: You believe that great work doesn't happen without the details being right.
• Systems Thinker: You don't accept a recurring problem as bad luck.

Required Qualifications

• 6–10+ years of experience in a hybrid delivery/sales role within consulting or professional services, with responsibility for scoping service engagements and accountability for project success.
• Demonstrated experience owning both delivery quality and account growth on the same engagement.
• Track record in scoping and delivering $50K–$1M services engagements.
• History building account plans and roadmaps that carry a single pilot into a broader rollout.
• Comfort stepping into an account shortly after it is landed and immediately owning activation and expansion.
• Strong relationship-building skills with senior client stakeholders (IT and line-of-business) and a track record of becoming a trusted advisor to leaders.
• Ability to structure complex problems and drive them to resolution in a matrixed environment.
• Willingness to travel up to 50% based on client needs.

Technical / Functional Skills

• Real, hands-on AI/data competency sufficient to identify use cases, and delivery risk for agentic AI/LLM and data solutions.
• Direct experience with Anthropic (Code, Cowork, or Enterprise) or a comparable LLM/agentic AI platform.

Benefits at phData US

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, Flexible PTO plan plus 10 Holidays

Job Data by YubHub.

Our AI & Data Strategy Architects help clients use data and AI to drive business transformation and competitive advantage. You'll align strategy and architecture, design implementation roadmaps, and guide organizations through adopting modern data platforms, machine learning solutions, and responsible AI practices.

Core Responsibilities:

• Advise clients on AI & data strategy,linking business goals to concrete data/AI capabilities, use cases, and value.
• Design implementation roadmaps and future-state operating models (roles, processes, governance, and platform direction).
• Make architecture and technology recommendations (cloud, data platforms, integration, data quality, governance, privacy, security, regulatory) clearly tied to business outcomes.
• Facilitate discovery and “art of the possible” sessions with business and technical stakeholders, including senior executives.
• Communicate complex technical and strategic concepts in clear, executive-ready language and partner with cross-functional teams to embed strategy into delivery.
• Own key workstreams within AI & data strategy engagements (e.g., use case discovery, roadmap design, operating model, governance approach).
• Perform analysis and synthesis (interviews, research, frameworks) and turn insights into clear recommendations and client-ready deliverables.
• Support workshop design and facilitation and mentor junior team members on consulting basics and communication.

At the Lead level, you also:

• Lead full AI & data strategy engagements or major programs, often acting as the day-to-day Engagement Lead for focused strategy projects.
• Own stakeholder alignment,including C‑suite,and translate goals into scoped plans, workstreams, milestones, and resourcing.
• Guide technology rationalization and operating model decisions, weighing TCO, risk, and regulatory needs, and ensuring alignment across business and technical leaders.
• Lead and coach multi-disciplinary teams (business analysts, architects, data engineers, change leaders) and help shape offerings and pursuits for new opportunities.

Qualifications:

• Experience as a hands-on AI & data strategy or architecture leader (strategy engagements, roadmaps, or major workstreams).
• Consulting experience with external clients, managing multiple priorities and stakeholders.
• Proven experience with ownership of complex workstreams.
• Strong understanding of modern cloud/data architectures and AI capabilities, and how to apply them to increase revenue, improve customer experience, or enable new products.
• Experience engaging senior stakeholders (up to C‑suite) and using strategy frameworks (e.g., opportunity prioritization, SWOT, multi‑year roadmaps, business cases/ROI).
• Ability to make technical recommendations tied to business outcomes across cloud, data platforms, integration, data quality, data governance, privacy/security, and regulatory needs (e.g., GDPR, CCPA).
• Proven facilitation and communication skills,workshops, “art of the possible” sessions, and executive-ready presentations.
• Track record of collaboration and ownership across client stakeholders, partners, and global cross-functional teams.
• Clear point of view on where data and AI are heading and how organizations can capture that value.
• Willingness to travel as required by clients.

Additional expectations at the Lead level:

• 2+ years of consulting leadership experience, repeatedly leading full AI & data strategy engagements or multi-workstream programs.
• Proven ability to coach and mentor others, communicate concepts in clear business language, and drive change and adoption.

Job Data by YubHub.