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Qualifications: Required brands include a Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, combined with 4+ years of relevant experience, or a Master's degree in the same field, combined with 3+ years of relevant experience. A Doctorate in the same field, combined with 1+ year of relevant experience, is also acceptable. Preferred qualifications include a Master's degree in the same field, combined with 6+ years of relevant experience, or a Doctorate in the same field, combined with 3+ years of relevant experience.

3+ years of experience conducting research as part of a research program, in either academic or industry settings, is also preferred. Additionally, 1+ year of experience developing and deploying live production systems, as part of a product team, is desirable.

Experience with developing graph-based identity models to perform cross-device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs is also preferred.

#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities: Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. Review business requirements and incorporate research to meet business goals. Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.

Qualifications: Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Preferred Qualifications: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team. 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Experience with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.

#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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This role sits at the intersection of applied machine learning, generative AI, and product experience, with clear ownership of core shopping intelligence used directly in user-facing Copilot experiences. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Design, build, and productionize machine learning models for product discovery, ranking, recommendation, and personalization using large-scale commerce and behavioral data.
• Develop LLM-based systems for conversational shopping, including prompt design, retrieval-augmented generation, tool orchestration, and grounding against structured commerce data.
• Address quality and trust challenges such as hallucination risk, stale data, and recommendation reliability.
• Define evaluation frameworks and experimentation strategies for conversational and proactive shopping scenarios, including offline metrics and online experiments.
• Partner closely with product, engineering, and design teams to translate models into low-latency, reliable Copilot experiences.
• Provide technical leadership for applied science within Copilot Shopping through design reviews, mentoring, and setting quality standards.
• Contribute to model governance and Responsible AI practices to ensure trustworthy and compliant systems.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.
• Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
• Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.
• Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights.
• LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance.

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things. This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between 'doing the work' and 'leading the work' , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence. You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process. You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework. You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs. You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize. You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight. As a PE, you balance individual risk and compliance contribution with team leadership. You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders. You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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Our ERP practice helps some of the largest global firms and most recognizable brands deliver value and business transformation enabled by digital ERP solutions and services. Our ERP services covering strategy, implementation and innovation help clients delivering true value and achieve their transformation agenda.

As a SAP Solution Architect, you will lead solution architecture for a S/4HANA based transformation program, addressing critical dimensions of business processes, data & analytics, applications, and technologies. Your responsibilities will include:

• Leading the definition of the Solution Architecture in challenging business transformation projects (overall solution design including end-to-end design, integrations, and data migration)
• Ensuring that technical solutions, platforms, and systems satisfy business requirements and future needs
• Developing and implementing an enterprise roadmap for SAP S/4HANA and a suite of new solutions including leadership of the ERP non-functional roadmap and related enterprise-wide integration requirements
• Providing digital capabilities to enhance and transform the business and to enable new business models
• Providing leadership, guidance, and technical solutions for focus areas e.g. SAP S/4HANA, SAP Cloud Platform, digital platforms, Cloud Integration, API Management, AI, Advanced Analytics and IOT
• Ensuring a well-structured and defined solution architecture framework - delivering to time, cost, and quality and within budget
• Ensuring adherence to solution governance and enterprise architecture principles and standards
• Leading and participating in key governance forums including Architecture Review Boards, Program Boards, Change Control Boards, and Integration Management meetings
• Active participation in business development and pre-sales activities, including proposals and responses to “Requests for Proposal” (RFPs) and “Requests for Information” (RFIs)
• Proactively managing, monitoring, and reporting on the identification, impact, dependencies, risks, mitigations and implementation status of solution architecture topics and areas for improvement; and owning the resolution of solution architecture issues
• Liaising with 3rd party providers and vendors as needed
• Managing internal consulting resources, 3rd party provider resources, and contract resources

We are looking for someone with extensive work experience in a consulting company, working in large-scale SAP transformation programs. You should have proven delivery capability for large-scale SAP based transformation programs and practical application of project management life cycle principles and methodologies (SAP Activate, including key concepts like Model Company, SAP Value Lifecycle Management etc.). You should also have experience with solution and enterprise architecture frameworks and models e.g. TOGAF and considerable SAP solution architecture, familiar with typical solution challenges in a large-scale transformation program.

You should have demonstrated skills in executing an Agile-based design and delivery approach and ideally experienced in process analysis and business process design approaches. You should also have solid understanding of major data objects and SAP enterprise structures and solid understanding of a range of SAP applications including S/4HANA, e.g. IBP, MDG, etc.

You should have experience in delivering SAP using a value-driven transformation approach and superior client interaction skills: ability to build trusted relationships to design and implement solutions for transformation programs jointly with clients. You should also have ability to inspire, convince and to influence to be able to gain buy-in from senior business management and stakeholders.

You should have superior problem management skills (problem identification, structuring, resolution) and moderation skills and excellent communication, presentation, and facilitations skills. You should also have ability to collaborate within the Firm and to leverage existing resources.

You should have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences and project-related mobility/willingness to travel.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.

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As part of this role, the Publications Lead will engage and collaborate with internal colleagues and external experts, investigators, journals, conference organisers and external bodies to deliver strategic publication and communication activities. They will also collaborate effectively with regional and country affiliates to develop and maintain integrated external scientific communications plans for regional and local healthcare professionals, payers, and patients.

The Publications Lead will be responsible for ensuring ethical compliance with AZ standards and external publication guidelines of the publications plans and deliverables, and they will ensure that all publications represent transparent and fair-balanced communications that enhance the Company's external scientific reputation.

Key responsibilities include:

• Developing and executing strategic publication plans for global clinical registration studies and non-clinical trial sources
• Collaborating with internal colleagues and external experts to deliver strategic publication and communication activities
• Ensuring ethical compliance with AZ standards and external publication guidelines of the publications plans and deliverables
• Representing the Company's external scientific reputation through transparent and fair-balanced communications

Requirements include:

• Minimum of a Bachelor's Degree in a scientific discipline with research experience
• Minimum 5 years of experience in the publications field, or medical communications gained through working in the pharmaceutical industry or a medical communications agency
• Demonstrated project management experience
• Broad understanding of drug development process
• Working knowledge of AI/LLM concepts relevant to scientific publishing
• Demonstrated performance, budget, and resource management skills in a global organisation
• Excellent leadership and project management skills to deliver in a complex multidisciplinary environment
• Ability to establish and maintain professional relationships with external experts, investigators, journal editors and publishers and professional bodies
• Ability to effectively manage multiple stakeholders and projects to within budget
• Flexibility and adaptability to manage long-term activities in a constantly changing internal and external environment

Desirable requirements include:

• Relevant post-graduate degree
• Experience of working globally, cross-culturally and cross-functionally
• Proven experience designing and scaling AI-enabled workflow (e.g. prompt libraries, fine-tuning/evaluating LLMs), with measurable impact, e.g. timelines
• CMPP Certification
• Working knowledge of iEnvision publication management system, and Microsoft Office products
• Strong therapeutic knowledge in cardiovascular, renal and/or metabolic therapy areas, with proven ability to adapt quickly to other therapeutic specialties

Benefits include:

• Annual base pay ranging from $193,281.60 to $289,922.40
• Short-term incentive bonus opportunity
• Eligibility to participate in equity-based long-term incentive programme (salaried roles)
• Retirement contribution (hourly roles)
• Commission payment eligibility (sales roles)

Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an 'at-will position' and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation programme) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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Define and own the end-to-end solution architecture for SAP S/4HANA and related supply chain solutions (IBP, EWM, TM, Ariba), including integrations, data migration, and non-functional requirements.

Ensure technical solutions meet current business needs and future scalability for Hi-Tech manufacturing and distribution models.

Develop and implement an enterprise roadmap for SAP Supply Chain, including digital capabilities for Industry 4.0, IoT, and advanced analytics.

Provide leadership and guidance on SAP S/4HANA Supply Chain modules (MM, PP, SD, WM/EWM), SAP IBP, and integration with MES, PLM, and external platforms.

Drive solution governance, ensuring adherence to enterprise architecture principles and standards.

Participate in key governance forums: Architecture Review Boards, Program Boards, Change Control Boards, and Integration Management meetings.

Support business development and pre-sales activities, including proposals, RFP/RFI responses, and client workshops.

Proactively manage risks, dependencies, and solution architecture issues, ensuring timely resolution.

Collaborate with third-party vendors, internal teams, and client stakeholders to deliver high-quality solutions.

Financial Oversight & P&L Responsibility:

Develop and manage budgets for SAP High-Tech projects, ensuring cost-efficiency and alignment with company goals.

Monitor P&L performance for the SAP High-Tech business, identifying areas for cost optimization and revenue growth.

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Define and own the end-to-end solution architecture for SAP S/4HANA and related supply chain solutions (IBP, EWM, TM, Ariba), including integrations, data migration, and non-functional requirements.

Ensure technical solutions meet current business needs and future scalability for Hi-Tech manufacturing and distribution models.

Develop and implement an enterprise roadmap for SAP Supply Chain, including digital capabilities for Industry 4.0, IoT, and advanced analytics.

Provide leadership and guidance on SAP S/4HANA Supply Chain modules (MM, PP, SD, WM/EWM), SAP IBP, and integration with MES, PLM, and external platforms.

Drive solution governance, ensuring adherence to enterprise architecture principles and standards.

Participate in key governance forums: Architecture Review Boards, Program Boards, Change Control Boards, and Integration Management meetings.

Support business development and pre-sales activities, including proposals, RFP/RFI responses, and client workshops.

Proactively manage risks, dependencies, and solution architecture issues, ensuring timely resolution.

Collaborate with third-party vendors, internal teams, and client stakeholders to deliver high-quality solutions.

Financial Oversight & P&L Responsibility:

Develop and manage budgets for SAP High-Tech projects, ensuring cost-efficiency and alignment with company goals.

Monitor P&L performance for the SAP High-Tech business, identifying areas for cost optimization and revenue growth.

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As a SAP Solution Architect, you will lead solution architecture for a S/4HANA based transformation program, addressing critical dimensions of business processes, data & analytics, applications, and technologies.

Key responsibilities include:

• Leading the definition of the Solution Architecture in challenging business transformation projects (overall solution design including end-to-end design, integrations, and data migration)
• Ensuring that technical solutions, platforms, and systems satisfy business requirements and future needs
• Developing and implementing an enterprise roadmap for SAP S/4HANA and a suite of new solutions including leadership of the ERP non-functional roadmap and related enterprise-wide integration requirements
• Providing digital capabilities to enhance and transform the business and to enable new business models
• Providing leadership, guidance, and technical solutions for focus areas e.g. SAP S/4HANA, SAP Cloud Platform, digital platforms, Cloud Integration, API Management, AI, Advanced Analytics and IOT

To succeed in this role, you will need to have extensive work experience in a consulting company, working in large-scale SAP transformation programs. You should also have proven delivery capability for large-scale SAP based transformation programs and practical application of project management life cycle principles and methodologies (SAP Activate, including key concepts like Model Company, SAP Value Lifecycle Management etc.).

Additional requirements include experience with solution and enterprise architecture frameworks and models e.g. TOGAF, considerable SAP solution architecture, familiarity with typical solution challenges in a large-scale transformation program, demonstrated skills in executing an Agile-based design and delivery approach, ideally experienced in process analysis and business process design approaches, solid understanding of major data objects and SAP enterprise structures, solid understanding of a range of SAP applications including S/4HANA, e.g. IBP, MDG, etc., solid understanding of applying technologies like Cloud, APIs, AI and IOT, experience in delivering SAP using a value-driven transformation approach, superior client interaction skills, ability to inspire, convince and to influence to be able to gain buy-in from senior business management and stakeholders, superior problem management skills (problem identification, structuring, resolution) and moderation skills, excellent communication, presentation, and facilitations skills, ability to collaborate within the Firm and to leverage existing resources, have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences, and project-related mobility/willingness to travel.

In return, we offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.

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At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry. Today, as an affiliate of Aramco, one of the world's largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future.

Job Purpose

The S&OP Planner is responsible for optimizing sales and operations planning, driving accurate demand forecasts, and ensuring efficient inventory management. This role offers the opportunity to collaborate cross-functionally and strengthen key relationships to support business objectives.

How You Make an Impact (Job Accountabilities)

1. Lead the Sales and Operations planning (S&OP) cycle for the responsible cluster/region/Markets (30%)
2. Forecasting Review and improve In Market Sales forecast quality for multiple distributors in the region. Work Back Sell out to Sell in Forecasts using Stock Equation. (15%)
3. Maintain and Improve demand planning/S&OP, processes to improve forecast accuracy. (15%)
4. Maintain a strong distributor/customer relationship through conducting weekly/Monthly connects. (10%)
5. Work cross functionally with commercial finance, Trade marketing, Marketing and Sales to build forecasts towards aligned objectives. (10%)
6. Collaborate with Supply Planning at the factory level to identify Key Supply risks and develop suitable solutions and mitigation plans. (10%)
7. KPI Monitoring: Monitor relevant KPIs, comparing actual shipment vs. country inputs. Prepare and distribute regular reports on key performance indicators, demand forecasts, and inventory levels. (10%)
8. Other duties and responsibilities as determined by Valvoline from time to time in its sole discretion.

What You Bring to the Role (Job Qualifications / Education / Skills / Requirements / Capabilities)

• Bachelors or Masters Degree in Supply Chain Management, Logistics, Business Analytics, Business Administration, or related field.
• Proven minimum of 5+ years of experience in demand planning in multi-national companies, preferably from the FMCG industry.
• Expertise in statistical forecasting methods and advanced analytics.
• Expertise in Distributor inventory Management
• Extensive experience with demand planning software (e.g., SAP APO) and data analysis tools (e.g., PowerBi, Excel, Macros, Tableau).
• Exceptional communication skills, and strong customer focus approach.

Competencies Desired

• Proficient in SAP and MS Office (Excel, Word, PowerPoint), good communication skills in Arabic and English
• Exceptional communication skills, and strong customer focus approach.

Working Conditions / Physical Requirements / Travel Requirements

• _Working Conditions / Physical Requirements_: Office Based
• _Travel Requirements_: 15%

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Your tasks will include:

• Providing expert advice to our customers on the digital transformation of their cross-functional corporate steering
• Developing strategic roadmaps for the implementation of the digital transformation
• Creating concept papers in the areas of reporting, budgeting & planning, as well as simulation and advanced analytics
• Leading expert teams to develop innovative steering approaches
• Taking over (partial) project leadership and accompanying implementation in exciting cross-functional transformation projects
• Modeling and optimizing steering processes, as well as advising on efficiency gains through best possible support by new technologies
• Conducting workshops and training sessions at management level on innovative topics, as well as developing solutions together with our customers
• Winning new customers and projects through the creation of offers, participation in pitches, and maintenance of existing customer relationships

Requirements for your path as a (senior) manager include:

• Completed studies in business administration, business informatics, finance & accounting, or a comparable course of study, and at least 5 years of professional experience, ideally in the consulting, finance, and controlling, or data analytics sectors
• Passion for penetrating complex business models and their efficient and transparent steering in volatile times
• Expertise in leading project teams and in the areas of controlling or data analytics, as well as in corporate consulting or a comparable customer function; a secure appearance on C-level is also essential
• Your way of working is characterized by very good presentation and project management skills, a structured and independent way of working, analytical thinking, and developed team and communication skills

Important information before departure:

• Start date: after agreement - always at the beginning of a month
• Working hours: full-time (40 hours); 30 vacation days
• Employment relationship: unlimited
• Field of work: consulting
• Language: secure German and English
• Flexibility and travel readiness
• Other: valid work permit; if necessary, we can apply for the work permit within our recruitment process. The procedure takes time and affects the start date

As a growing company, we make us the perfect sparring partner for anyone who wants to actively shape things. Among other things, we offer you:

• Appreciation. We support and appreciate colleagues as they are and celebrate our successes together
• We look forward to new impulses, creativity, and drive
• Flexibility. Time-wise and location-wise - according to the project at home, in the office, or with the customer
• You have the opportunity to develop further with us - in your expertise, in your personality, inside and outside your projects

A comprehensive overview of our benefits can be found here.

Please note that we review your application internally and check whether there is a suitable position for you, regardless of current job postings.

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In this role, you'll facilitate core IBP forums, collaborate across teams, and use advanced planning tools to strengthen accuracy and decision-making.

Key responsibilities include:

• Supporting the department to continue the development, implementation, and continuous improvement of the IBP process
• Facilitating monthly and quarterly IBP meetings to review, challenge, and validate integrated plans
• Ensuring alignment between demand & financial plans across the business

You'll also act as a liaison between the different IBP forums, fostering collaboration to synchronize plans and actions, work closely with senior leadership to align strategic objectives with operational capabilities, and drive consensus among stakeholders to resolve conflicts and achieve integrated plans.

Additionally, you'll transcribe the monthly demand forecast and create rolling supply plans on a monthly basis, develop scenario planning and sensitivity analyses to support decision-making, monitor performance against plans and provide insights and recommendations for course corrections.

You'll utilize advanced analytics (Anaplan/BI) to enhance planning accuracy and decision-making, ensure the availability and accuracy of data for IBP processes, leveraging digital tools and technologies, and develop and maintain IBP metrics and KPIs to measure effectiveness and drive continuous improvement.

As a champion of the IBP governance, you'll embed the IBP culture and practices across the organization, enabling timely & effective decision making, develop training programs and materials to educate teams on IBP processes and tools, and lead by example, demonstrating best practices in integrated planning and execution.

You'll identify and mitigate risks associated with business planning and execution, develop contingency plans to address potential disruptions in supply, demand, or operational capabilities, and stay abreast of industry trends and best practices in IBP and related fields.

Finally, you'll implement innovative solutions to enhance the efficiency and effectiveness of the IBP process, foster a culture of continuous improvement and operational excellence, and contribute to the growth and success of Oatly NA.

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You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes.

Working closely with cross-functional stakeholders,including Sales, Finance, Marketing, and other data teams,you will tackle complex data challenges by leveraging structured data, building AI-powered querying assistants, and using tools like Databricks Genie to improve data accessibility, streamline insights, and deliver actionable, reliable solutions across the business.

You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts, helping to establish a strong foundation for advanced analytics, automation, and scalable business intelligence.

The Impact You Will Have:

• Build: You will design and develop analytic tools, including a semantic layer for AI use cases, scalable data models, curated tables, and insightful analyses that empower thousands of field employees and leaders worldwide.

• Architect: You will both manage the requirements gathering and lead execution of strategic analytic projects.

• Scale: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team

What we look for:

• You have 4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).

• You are data-savvy with 3+ years of SQL and 2+ years of Python experience. Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required.

• You have built for scale. You have experience building scalable and productionizable data models with best practices in mind.

• You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work , from drafting and debugging code to synthesizing requirements and generating documentation.

• You're comfortable evaluating AI-generated outputs critically and iterating quickly.

• You are passionate about applying AI to transform GTM teams. You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.

• You excel in partnering with the business, understanding the impact of your work on GTM, and creating innovative solutions.

• You have a track record of cross-functional collaboration and strong stakeholder relationships.

• You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors.

• You work through dependencies, bottlenecks, and tradeoffs with ease.

• You have a service-oriented mindset.

• You are curious, creative, and kind.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $133,000-$182,950 USD

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.

This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between "doing the work" and "leading the work" , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.

You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.

You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework.

You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs.

You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.

You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.

As a PE, you balance individual risk and compliance contribution with team leadership.

You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.

You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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Your responsibilities will include building relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. You will drive value-based growth within the account, expand the Databricks footprint into new business units and use cases, and exceed activity, pipeline, and revenue targets.

To succeed in this role, you will need to have previously excelled in an early-stage company, have previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion, and have prior customer relationships with CIOs, program managers, and essential decision makers at local accounts.

The pay range for this role is $272,000-$374,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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The impact you will have: Assess your key accounts and develop a strategy to meet and exceed revenue and consumption goals. Implement the above strategy to meet and exceed revenue and consumption targets. Build positive relationships with key decision makers (up to and including C-level) and establish yourself as a trusted advisor for Data & AI-related subjects. Identify new business opportunities and develop the expand / consumption use cases within your key accounts. Orchestrate and utilise internal teams to maximise the impact on your ecosystem. Showcase exceptional value with all engagements to guide successful negotiations to close point.

What we look for: Successful track record of meeting and exceeding sales quotas and KPIs. Experience selling to large enterprise-class customers in Switzerland. Proven experience selling complex software deals. Understanding of consumption-based land and expanding sales models. Evidence of creating demand that delivered substantial business value. Experience of following robust sales methodologies and processes, e.g. account planning, MEDDPICC, Value Selling, Command of the Message and accurate forecasting. Experience of building effective champions and collaborative teams to support the execution of your territory plan. Experience of developing a clear partner strategy and managing it to success. Understanding of how to identify important use cases and buying centres in order to increase the impact of Databricks within an organisation. Fluent English and German language skills are essential.

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As a Pricing Director, you will be responsible for developing and implementing a pricing strategy that balances value-based pricing principles with commercial signals. You will work closely with Product, Finance, Revenue Operations, and Product Marketing to ensure pricing decisions are well-informed, consistently applied, and commercially viable across the full GTM motion.

Key responsibilities include:

• Developing and maintaining a pricing framework across Komodo's product portfolio
• Establishing pricing governance, including a Pricing Committee, approval workflows, and discount management policies
• Building and maintaining a pricing intelligence function that continuously monitors competitive pricing, win/loss data, and customer willingness to pay
• Working with the Deal Desk to support large or complex deals by structuring pricing and packaging that maximizes value capture while protecting margins and setting healthy precedents
• Leveraging AI tools and advanced analytics to deliver pricing insights, report on results, and model scenarios

The ideal candidate will have 10+ years of experience in pricing strategy, revenue management, or monetization in B2B technology, with a clear track record of commercial impact. They will have specific experience with usage-based, consumption, or outcome-based pricing models, and a strong understanding of AI's role in pricing strategy and monetization.

In addition to technical expertise, the successful candidate will be an excellent communicator who can distill complex quantitative analyses into clear, confident recommendations for executive audiences. They will also be a strong cross-functional collaborator who can build trust and drive alignment across Product, Finance, Sales, and Marketing.

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You will also own the talent development framework to recruit, hire, onboard, and train top Sales Development talent of today to transform them into the Databricks AEs of tomorrow. You will lead and transform a high-performing Sales Development team, driving strategic pipeline generation, establishing cross-functional collaboration, and positioning our sales development function as a key new account activation and revenue acceleration engine.

The Impact You Will Have:

• Lead, build, develop, and scale a high-performance Sales Development (BDR) team that prospects to support the net new account activation of greenfield accounts and the pipeline generation/revenue expansion of customer accounts in Databricks' Enterprise segments
• Drive and deliver results aligned with comprehensive Sales Development strategy and business objectives
• Develop and implement innovative pipeline generation approaches that leverage data intelligence and market insights
• Establish cross-functional partnerships with Sales, Marketing, Field Engineering, Partner, Sales Programs and Sales Strategy/Ops leadership to create integrated go-to-market strategies
• Leverage advanced analytics to optimize Sales Development team performance, productivity, and effectiveness
• Work closely with Sales, Demand Generation, and Marketing leadership to ensure the success of campaigns, while providing constructive input to develop new campaigns.

What We Look For:

• 3-4+ years of experience in second line management, hiring, training, coaching and developing Managers
• Proven track record of building and scaling high-performing sales development teams in complex, matrixed organizational structures (in SaaS or other technology environments)
• Experience building and scaling a top performing team by recruiting and developing Business Development Representatives (BDRs)
• Experience building scalable business processes at a high-growth, fast paced environment ideally using AI/agents aligned with overall Company GTM
• Metrics- and data-driven, with a history of performing above team quota.
• Deep expertise in building and scaling enterprise sales development methodologies and pipeline generation strategies
• Demonstrated success in developing and implementing data-driven sales enablement programs
• Exceptional leadership skills with ability to inspire, coach, and develop sales talent
• Advanced proficiency with sales technology stack, including Salesforce, Outreach, and other advanced sales intelligence platforms
• Strong strategic planning and execution capabilities
• Ability to travel extensively throughout the US, Canada or LatAm

Leadership Capabilities:

• Strategic vision for sales development's role in driving revenue growth
• Ability to translate complex business strategies into actionable plans
• Ability to lead through change management
• Exceptional problem solving, process and critical thinking, communication and interpersonal skills
• Proven ability to lead through influence and collaboration
• Data-driven decision-making approach with strong analytical capabilities

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 2 Pay Range $146,600-$201,500 USD

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Key responsibilities include:

• Building relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Driving value-based growth within the account.
• Expanding the Databricks footprint into new business units and use cases.
• Exceeding activity, pipeline, and revenue targets.
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Using a solution-based approach to selling and creating value for customers.
• Promoting Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake.
• Prioritizing opportunities and leveraging appropriate resources.
• Building a plan for success internally at Databricks and externally with your account.

We are looking for someone with 7+ years of Enterprise Sales experience exceeding quotas in larger accounts, managing a small set of enterprise accounts rather than a broad territory, and a Bachelor's Degree.

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The impact you will have:

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark and Delta Lake.
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

We are looking for someone with 7+ years of Enterprise Sales experience exceeding quotas in larger accounts, who has previously excelled in an early-stage company and has prior customer relationships with CIOs, program managers, and essential decision makers at local accounts.

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The impact you will have:

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake.
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

We are looking for someone with 7+ years of Enterprise Sales experience exceeding quotas in larger accounts, managing a small set of enterprise accounts rather than a broad territory, and a Bachelor's Degree.

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The impact you will have:

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark and Delta Lake.
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account.

We are looking for someone with previous experience in field sales within big data, cloud, SaaS, and a consumption selling motion. You should have prior customer relationships with CIOs, program managers, and essential decision makers at local accounts. The ability to simplify a technical capability into a value-based benefit is essential.

Experience selling to FSIs is required, and you should have managed a targeted enterprise account rather than a broad territory. A bachelor's degree is required, and the pay range is $272,000-$374,000 USD.

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At Databricks, we enable data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform.

As a Senior Manager, Infrastructure Data Science, you will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions.

Key responsibilities include:

• Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
• Promoting a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and supporting the use of data science insights for high-impact, aligned strategies.
• Implementing data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
• Spearheading analyses to improve resource utilisation efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimised performance.
• Establishing data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
• Mentoring and managing a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.

We look for candidates with 10+ years of infrastructure data science, machine learning, advanced analytics experience in high-velocity, high-growth companies, as well as 5+ years of management experience hiring and developing teams.

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Key responsibilities include:

• Building relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Driving value-based growth within the account
• Expanding the Databricks footprint into new business units and use cases
• Exceeding activity, pipeline, and revenue targets
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Using a solution-based approach to selling and creating value for customers
• Promoting Databricks' Data Intelligence Platform powered by Apache Spark and Delta Lake
• Prioritizing opportunities and leveraging appropriate resources
• Building a plan for success internally at Databricks and externally with your account

We are looking for a creative, execution-oriented Enterprise Account Executive who has previously excelled in an early-stage company and has experience in field sales within big data, cloud, SaaS, and a consumption selling motion. You should have prior customer relationships with CIOs, program managers, and essential decision makers at local accounts, and the ability to simplify a technical capability into a value-based benefit.

The ideal candidate will have 7+ years of Enterprise Sales experience exceeding quotas in larger accounts, managing a small set of enterprise accounts rather than a broad territory, and a Bachelor's Degree.

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Your responsibilities will include building relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. You will drive value-based growth within the account, expand the Databricks footprint into new business units and use cases, and exceed activity, pipeline, and revenue targets.

To succeed in this role, you will need to have previously excelled in an early-stage company, have previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion, and have prior customer relationships with CIOs, program managers, and essential decision makers at local accounts.

The pay range for this role is $272,000-$374,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra-competitive landscape.

Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella (Telco orgs). You will come with an informed point of view on Big Data, Advanced Analytics, and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have:

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark and Delta Lake.
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account.

We look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight.
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion.
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts.
• The ability to simplify a technical capability into a value-based benefit.
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts.
• Managing a small set of enterprise accounts rather than a broad territory.
• Bachelor's Degree.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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As a Senior Manager, you will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. You will promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.

Key responsibilities include:

• Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
• Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
• Spearhead analyses to improve resource utilisation efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimised performance.
• Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
• Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.

Requirements include:

• 10+ years of infrastructure data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.
• 5+ years of management experience hiring and developing teams.
• Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment.
• Knowledge of statistics and rigorous analytical techniques.
• Experience with data visualisation tools, knowledge of data engineering, data modelling, and big data technologies.
• Leadership skills and experience to lead across functional and organisational lines.
• Strong communication skills to explain and evangelise analytics and data science to executives and the senior management team.
• Bias to action and passion for delivering high-quality data solutions.
• A passion for problem-solving and comfort with ambiguity.
• MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $228,600-$314,250 USD

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This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable.

Responsibilities:

• Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling;
• Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators;
• Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring;
• Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools;
• Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps;
• Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages;
• Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics.

Basic Qualifications:

• 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance;
• Master’s degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field;
• Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred);
• Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles;
• Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators;
• Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred.

Preferred Skills and Experience:

• Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners;
• Background in building internal case management systems, SAR automation tools, or RPA solutions;
• Familiarity with AML detection platforms;
• Track record of delivering measurable impact (e.g., reduced case volumes, improved detection of high-risk activity, increased operational efficiency).

Compensation and Benefits:

$148,000- $220,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR Requirements:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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Responsibilities:

• Contribute to the strategic direction and prioritization of the broader company goals.
• Operate as a key operations team member, assisting to manage and drive strategic and operational initiatives.
• Support the growing analytical needs of the business.
• Serve as a subject matter expert, handling inquiries and developing action plans to address them, and assisting with the preparation and dissemination of communications.
• Lead various high-priority strategic projects, ensuring cross-functional alignment and accountability, reporting results directly to the operations leadership team.
• Drive critical projects to ensure team alignment, clear accountability, and timely execution of high-quality deliverables.
• Projects may include furthering key cross-functional initiatives, researching new revenue opportunities, and strategic planning around business expansion and organizational growth.
• Translate high-level business priorities into clear and simple initiatives that achieve KPIs tied to company goals.
• Create tools and templates to take the administrative burden off the on-site teams and to better communicate strategies and performance to executive leadership.
• Partner with business leaders to provide data insights into business operations, financial performance, and staffing metrics.
• Identify bottlenecks in workflows/processes and construct/execute action plans to alleviate these pain points.
• Review, design, and execute improvements to org structure
• Find knowledge and skills gaps and help address them
• Improve current processes and coordinate organizational procedures for optimized efficiency and productivity
• Serve as liaison between staff, executives, leaders, and Head of Operations regarding company environment, employee well-being, project updates, proposals, and planning

Experience:

• Bachelor’s degree or equivalent work experience required
• 3+ years’ in high-growth startup experience preferred

Knowledge and Technical Skills:

• Advanced analytics skills and excellent oral presentation skills required
• Exceptional ability to convey complex concepts, findings, and strategies in written form
• Experience with data analysis
• Experience with budget management
• Strong project reporting skills, with a focus on interdepartmental communication

Benefits:

• Competitive compensation and benefits
• Exciting growth opportunity: Be part of a fast-growing company shaping the future of residential living in the Middle East

Why Join Flow?

If you have the energy, talent, and work ethic to thrive in this role, we want to hear from you! Apply now and be part of Flow’s success story!

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Responsibilities:

• Apply machine learning, causal inference, or advanced analytics on large datasets to measure results and outcomes, identify causal impact and attribution, and predict the future performance of users or products to drive business success.
• Influence business actions and strategy by developing actionable insights through metrics and dashboards.
• Drive the collection of new data and the refinement of existing data sources.
• Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly.
• Present your work to the Data Science team, partner teams, and fellow interns.

Requirements:

• Enrolled in a quantitative Master's degree program (e.g. Data Analytics, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027.
• Experience with a scientific computing language (such as Python, R, etc) and SQL.
• Experience communicating and collaborating with multidisciplinary stakeholders in a team environment.

Preferred Qualifications:

• Experience writing and debugging data pipelines.
• Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects.
• Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts.

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You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.

About Your Role

As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. You will shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders.

Your Role Will Include:

• Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
• Translate business objectives into scalable, secure, and compliant data solutions
• Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
• Guide delivery teams through implementation, rollout, and production readiness
• Function as senior technical counterpart for client architects, IT leads, and engineering teams
• Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
• Support pre-sales and solution design activities from a technical perspective

Requirements

• 5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
• Proven experience leading enterprise data architecture workstreams or technical teams
• Strong client-facing experience in complex enterprise environments

Core Data & Analytics Technology Skills

• Strong expertise in modern data architectures, including:
• Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
• Modern Data Architecture design principles
• Batch and streaming data integration patterns
• Data Platform, DevOps, deployment and security architectures
• Analytics and AI enablement architectures
• Hands-on experience with cloud data platforms, e.g.:
• Azure, AWS or GCP
• Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
• Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)
• Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
• Solid understanding of API-based and event-driven architectures
• Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.

Engineering & Platform Foundations

• Experience with data pipelines, orchestration, and automation
• Familiarity with CI/CD concepts and production-grade deployments
• Understanding of distributed systems; Docker / Kubernetes is a plus

Data Management & Governance

• Strong understanding of data management and governance principles, including:
• Data quality, metadata, lineage, master data management
• Data Management software and tools
• Security, access control, and compliance considerations
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to Have

• Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
• Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
• Hands-on Experience with data governance or metadata tools
• Cloud, data, or architecture certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

You will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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Responsibilities:

• Participate in business development and pre-sales activities, including proposals and responses to RFPs and RFIs.
• Lead the definition of the Solution Architecture of challenging IT/business transformation projects in the Life Sciences industry, predominantly SAP-based.
• Ensure that technical solutions, platforms, and systems satisfy business requirements and future needs.
• Develop and implement an enterprise roadmap for SAP S/4HANA and a suite of new solutions, including leadership of the ERP non-functional roadmap and related enterprise-wide integration requirements.
• Provide digital capabilities to enhance and transform the business and to enable new business models.
• Provide leadership, guidance, and technical solutions for focus areas such as SAP S/4HANA, SAP Leonardo, SAP Cloud Platform, digital platforms, Cloud Integration, API Management, AI, Advanced Analytics, and IoT.
• Ensure a well-structured and defined solution architecture framework, delivering to time, cost, and quality and within budget.
• Ensure adherence to solution governance and enterprise architecture principles and standards.
• Lead and participate in key governance forums, including Architecture Review Boards, Program Boards, Change Control Boards, and Integration Management meetings.
• Proactively manage, monitor, and report on the identification, impact, dependencies, risks, mitigations, and implementation status of solution architecture topics and areas for improvement; and own the resolution of solution architecture issues.
• Liaise with 3rd party providers and vendors as needed.
• Manage internal consulting resources, 3rd party provider resources, and contract resources.

Requirements:

• Superior client interaction skills, ability to build trusted relationships to design and implement solutions for transformation programs jointly with clients.
• Ability to inspire, convince, and influence to gain buy-in from senior business management and stakeholders.
• Superior problem management skills (problem identification, structuring, resolution) and moderation skills.
• Excellent communication, presentation, and facilitation skills.
• Proven ability to deliver under tight deadlines and challenging constraints.
• Ability to collaborate within the Firm and to leverage existing resources.
• Superior team leadership skills, proven through project leadership positions in previous roles, with experience of establishing high-performing teams and an interest in developing team members.
• Extensive work experience in a consulting company, working in large-scale SAP transformation programs.
• Extensive work experience in the Life Sciences industry, profound know-how of Life Sciences challenges and business dynamics, and of validation implications for SAP program delivery.
• Proven delivery capability for large-scale SAP-based transformation programs within and outside of Life Sciences.
• Practical application of project management life cycle principles and methodologies (SAP Activate, including key concepts like Model Company, SAP Value Lifecycle Management etc.).
• Experience with solution and enterprise architecture frameworks and models (e.g. TOGAF).
• Considerable SAP solution architecture and enterprise architecture experience, familiar with typical solution challenges in a large-scale transformation program.
• Demonstrated skills in executing an Agile-based design and delivery approach.
• Ideally experienced in process analysis and business process design approaches.
• Solid understanding of major business processes along the value chain in the Life Sciences industry.
• Solid understanding of major data objects and SAP enterprise structures.
• Solid understanding of a range of SAP applications, including S/4HANA, e.g. BW4HANA, Ariba, IBP, MDG, etc.
• Solid understanding of applying technologies like Cloud, APIs, AI, and IoT as part of SAP Life Sciences solutions.
• Experience in delivering SAP using a value-driven transformation approach.
• Willingness to travel extensively in Europe and ability to work within a European environment is essential.

Benefits:

• Learning & Development - you will be a part of Poland's exceptional Health and Life Sciences team where you will have an opportunity to learn from seasoned professionals and industry leaders.
• Being a part of a growing team that tackles exciting and diverse challenges.
• Attractive salary package and bonuses based on your skillset.
• MultiKafeteria - you can choose MultiSport or gift cards every month or whatever you need to make you happy.
• Work From Home (Must be based in Poland).
• UoP – Umowa o prace, standard contract.
• Private Healthcare Plan.
• Pension Plans.
• Life Assurance.
• Team initiatives and events

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What you'll do

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Job Description

Ford Customer Service Division is the service and parts division of Ford Motor Company. In the rapidly evolving automotive landscape parts, pricing is a critical function and a strategic engine. FCSD is seeking a Senior Director of Strategic Yield Management to lead our global pricing Center of Excellence.

As a key member of the leadership team, this role is responsible for implementing and leading sophisticated, value-based, and dynamic pricing strategies across the entire portfolio of parts. The position carries a mandate to build a world-class pricing organization, leveraging AI and advanced analytics to drive profit growth and market share improvements.

Responsibilities

• Architect and oversee the evolution and optimization of proprietary algorithmic pricing models, integrating real-time competitive intelligence and automated price elasticity engines to ensure market leadership across diverse channels (Retail, Wholesale, E-Commerce, and Fleet)
• Orchestrate the end-to-end pricing strategy for the total parts portfolio, defining value-capture frameworks across the entire lifecycle—from New Product launches and growth phases to 'all-makes' expansion and end-of-life/remanufactured parts
• Strategically source and govern global market and competitive intelligence, managing key vendor partnerships and data integrity frameworks to ensure pricing actions are supported by world-class market insights.
• Manage the global pricing tech stack by orchestrating strategic partnerships with key vendors (e.g., PriceFX) to integrate advanced AI and Machine Learning capabilities into a scalable, predictive modeling ecosystem
• Drive cross-functional alignment with Marketing, Sales, and Finance to optimize discount and rebate frameworks, utilizing advanced Price-Volume-Mix analytics to drive margin expansion
• Establish a robust reporting suite from working-level up to executive-level reporting, providing high-visibility dashboards and performance monitoring that ensure total transparency into the effectiveness of pricing actions
• Govern the global pricing data ecosystem by establishing rigorous control frameworks that ensure high-fidelity inputs, seamless automated implementation, and full adherence to global regulatory and compliance standards
• Oversee quality control of data inputs, pricing recommendations, and implementation into all downstream systems
• Monitor and guide actions to drive franchisee service competitiveness including data assessments of go to market positioning across key service commodities to ensure our Ford and Lincoln owners have access to best-in-class service with competitively priced parts.
• Lead global harmonization to manage regional price variations and currency fluctuations to ensure global margin consistency.
• Lead and develop a world-class global pricing organization, mentoring a high-caliber team of managers and analysts while championing a culture of commercial curiosity, data-driven innovation, and relentless improvement Foster a culture of continuous improvement and commercial curiosity.

Qualifications

• Experience: 10+ years in pricing or revenue management, with at least 5 years in leadership capacity within the automotive, aerospace, or heavy industrial sectors.
• Education: Bachelor’s or MBA / Master’s in Finance, Economics, or Data Science is highly preferred.

Preferred

• Analytical Rigor: Proven history of using Big Data to drive margin improvements and volume growth
• Technical Capabilities: Deep familiarity with leveraging AI and using analysis tools
• Change Management: A demonstrated ability to lead a team through a digital transformation or a shift in business model.
• Overall excellent business acumen skills, fiscal management, and ability to develop innovative strategic and tactical actions
• Organized, Initiative-taker with excellent communication skills and the ability to influence cross functional teams
• Proven experience leading teams in a dynamic business environment

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