Senior Product Manager, Data

760c3e88-e35 Senior Product Manager, Data Job Title: Senior Product Manager, Data

We are seeking a Senior Product Manager to support the development of CoreWeave's Enterprise Data Platform within the CIO organization. This role will contribute to building a scalable, high-performance data lake and data architecture, integrating data from key sources across Operations, Engineering, Sales, Finance, and other IT partners.

As a Senior Product Manager for Data Infrastructure and Analytics, you will help drive data ingestion, transformation, governance, and analytics enablement. You will collaborate with engineering, analytics, finance, and business teams to help deliver data lake and pipeline orchestration solutions, ensuring accessible data for business insights.

Key Responsibilities:

Own and evangelize Data Platform and Business Analytics roadmap and strategy across CoreWeave
Assist with the execution of CoreWeave's enterprise data architecture, helping enable the data lake and domain-driven data layer
Support the development and enhancement of data ingestion, transformation, and orchestration pipelines for scalability, efficiency, and reliability
Work with the Engineering and Data teams to maintain and enhance data pipelines for both structured and unstructured data, enabling efficient data movement across the organization
Collaborate with Finance, GTM, Infrastructure, Data Center, and Supply Chain teams to help unify and model data from core systems (ERP, CRM, Asset Mgmt, Supply Chain systems, etc.)
Contribute to data governance and quality initiatives, focusing on data consistency, lineage tracking, and compliance with security standards
Support the BI and analytics layer by partnering with stakeholders to enable data products, dashboards, and reporting capabilities
Help prioritize data-driven initiatives, ensuring alignment with business goals and operational needs in coordination with leadership

Requirements:

5+ years of experience in data product management, data architecture, or enterprise data engineering roles
Familiarity with data lakes, data warehouses, ETL/ELT and streaming pipelines, and data governance frameworks
Hands-on experience with modern data stack technologies (such as Snowflake, BigQuery, Databricks, Apache Spark, Airflow, DBT, Kafka)
Understanding of data modeling, domain-driven design, and creating scalable data platforms
Experience supporting the end-to-end data product lifecycle, including requirements gathering and implementation
Strong collaboration skills with engineering, analytics, and business teams to help deliver data initiatives
Awareness of data security, compliance, and governance best practices
Understanding of BI and analytics platforms (such as Tableau, Looker, Power BI) and supporting self-service analytics

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

Salary Range: $143,000 to $210,000

Benefits:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Workplace:

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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]]> full-time senior hybrid $143,000 to $210,000 data product management, data architecture, enterprise data engineering, data lakes, data warehouses, ETL/ELT and streaming pipelines, data governance frameworks, modern data stack technologies, Snowflake, BigQuery, Databricks, Apache Spark, Airflow, DBT, Kafka, data modeling, domain-driven design, scalable data platforms, BI and analytics platforms, Tableau, Looker, Power BI Engineering Technology CoreWeave https://logos.yubhub.co/coreweave.com.png CoreWeave is a cloud-based platform that enables innovators to build and scale AI with confidence. https://www.coreweave.com https://job-boards.greenhouse.io/coreweave/jobs/4649824006 Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA/San Francisco, CA 2026-04-18 4d67ce9b-156 Senior Product Manager, Data Enablement Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.\n\nAs the Senior Product Manager for Data Enablement, you will be the enterprise-level owner of analytics capabilities, shared definitions, and enablement tooling that ensures Omada can answer critical business questions faster and more efficiently. This role will work across Product, Clinical, Commercial, Operations, and Finance to create the structures for how analytics are governed, accessed, and used.\n\nThe primary mandate of this role is to own the product strategy and roadmap for Omada’s enterprise analytics including governance, shared definitions, and enablement tooling. You are accountable for ensuring that teams across Product, Clinical, Commercial, Operations, and Finance can ask and answer critical business questions quickly, consistently, and with high trust in the underlying data. This means defining how key concepts are governed, how analytics tools are shaped and prioritized, and how cross-functional stakeholders engage with the data platform.\n\nYou will act as the central product owner for Omada’s analytics ecosystem, setting clear standards and driving adoption across the company. In practice, this includes:\n\n* Owning the roadmap for core data products and analytics tooling that power dashboards, reporting, and self-service analysis.\n* Driving the culture of data across our engineering, product and other business teams at Omada\n* Partnering with data, engineering, analytics, and business leaders to ensure analytics investments are aligned with company strategy and deliver measurable impact.\n* Collaborating with other product managers to incorporate data science concepts into their features & experiences\n\nAbout you:\n\n* 10+ years of relevant product management or data product experience (8+ years with Master's degree, 5+ years with PhD)\n* 7+ years of experience with data technology and data management, including familiarity with:\n * Modern data warehousing technologies (Redshift, Snowflake, BigQuery or similar)\n * Cloud technologies, preferably AWS\n * Business intelligence and analytics tools (Tableau, Amplitude, Looker, or similar)\n * Data governance frameworks and data quality management\n * SQL and ability to write queries and QA datasets\n* Subject matter expertise in enterprise analytics governance, data product management, or analytics enablement\n* Experience establishing governance processes & associated tool implementation for data definitions, metrics, or analytics across multiple business functions\n* Proven ability to partner with Data Teams for technical evaluation of self service tools and/or statistical model training lifecycle\n* Proven ability to influence senior stakeholders and reconcile opposing viewpoints to drive consensus\n* Track record of working on problems that are not clearly defined, using advanced knowledge and conceptual thinking to develop solutions\n* Experience with healthcare data standards and regulatory requirements is strongly preferred\n* Bachelor's degree or equivalent relevant experience (advanced degree preferred)\n\nEssential Competencies:\n\n* Strategic & Analytical:\n * Able to think beyond constraints to imagine new ways to use data to impact members and customers\n * Excellent organizational and analytical skills with strong technical understanding\n * Comfortable analyzing data and leading research/discovery efforts to understand problem spaces, identify opportunities, and propose solutions\n * Proven ability to set clear, achievable objectives and work plans for complex, cross-functional initiatives\n* Communication & Influence:\n * Exceptional written and verbal communication skills\n * Ability to create formal networks with key decision makers and influence stakeholders across multiple functions\n * Skilled at adapting communication style for different audiences, from technical teams to senior executives\n * Experience negotiating matters of significance with senior management and/or major customers\n* Collaboration & Problem Solving:\n * Comfortable with ambiguity and adept at solving problems with limited resources and information\n * Able to drive alignment among diverse stakeholders with competing priorities\n * Great listener who asks insightful questions and doesn't accept "It's how we've always done it" as an answer\n * Proven ability to reconcile various and opposing stakeholder views to drive results\n* Execution & Delivery:\n * History of consistently delivering results against target metrics and commitments\n * Experience managing product backlogs, writing clear product specifications, and driving execution\n * Ability to exercise autonomous decision making with limited input on methods and techniques to obtain results\n\nYour impact:\n\nIn this role, you will directly contribute to transforming how Omada uses data to serve members, customers, and internal stakeholders. Your work will:\n\n* Eliminate fragmentation: Establish single sources of truth for critical business and clinical metrics, reducing confusion and accelerating decision-making\n* Increase trust: Build confidence in analytics across the organization through governed definitions and transparent processes\n* Accelerate insights: Enable analysts and business users to answer questions faster through improved tooling, AI-assisted analytics, and reusable data products\n* Scale effectively: Create governance frameworks and enablement systems that scale as Omada's product portfolio and customer base expand\n* Drive outcomes: Ensure that data and analytics capabilities directly support better health outcomes for members and business results for customers\n\nBenefits:\n\n* Competitive salary with generous annual cash bonus\n* Equity grants\n* Remote first work from home culture\n* Flexible Time Off to help you rest, recharge, and connect with loved ones\n* Generous parental leave\n* Health, dental, and vision insurance (and above market employer contributions)\n* 401k retirement savings plan\n* Lifestyle Spending Account (LSA)\n* Mental Health Support Solutions\n* ...and more!\n\nWe take a village to change healthcare. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!\n\n* Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.\n* Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.\n* Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.\n* Deliver Results. We reward impact above output.

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]]> full-time senior remote data technology, data management, modern data warehousing technologies, cloud technologies, business intelligence and analytics tools, data governance frameworks, data quality management, SQL, subject matter expertise in enterprise analytics governance, data product management, analytics enablement Engineering Healthcare Omada Health https://logos.yubhub.co/omadahealth.com.png Omada Health is a healthcare technology company that provides virtual-first care for pre-diabetes, diabetes, hypertension, and musculoskeletal conditions. https://www.omadahealth.com/ https://job-boards.greenhouse.io/omadahealth/jobs/7759052 Remote, USA 2026-04-17 1afd04e5-198 Data & Cloud Technical Project Manager (H/F) We are a data company that helps brands improve their marketing, media and customer experience through a combination of consulting and technology services. Our team of over 320 experts includes digital consultants, data scientists, engineers and media specialists who work together to provide high-level marketing advice and technical assistance to brands across various industries.

Our services include data platform implementation, data governance, data analytics, and more. We work with brands to help them become omnicanal organisations that can effectively manage their digital ecosystem and its synergies with the physical world.

We are based in Paris and operate across three time zones from our 10 offices in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore and New York. We prioritise the well-being of our employees, which has enabled us to be ranked as one of the best workplaces in France in 2018.

We are looking for a Data & Cloud Technical Project Manager to join our team. The successful candidate will be responsible for managing technical projects and teams, ensuring the successful delivery of projects within agreed timelines and budgets.

Key responsibilities:

Manage technical projects and teams, ensuring the successful delivery of projects within agreed timelines and budgets
Lead technical teams and ensure the development of technical skills and expertise
Collaborate with data science teams to develop advanced use cases for clients
Develop and implement data governance frameworks for clients
Ensure the quality and accuracy of data and analytics
Collaborate with clients to understand their needs and develop solutions
Manage client relationships and ensure client satisfaction

Requirements:

6-8 years of experience in a technical consulting role
Experience in managing technical projects and teams
Strong technical skills, including data analytics, data governance and cloud computing
Excellent communication and presentation skills
Ability to work in a fast-paced environment and manage multiple projects simultaneously
Strong problem-solving skills and ability to think critically
Experience working with clients and developing solutions to meet their needs

Preferred qualifications:

Experience working with data platforms and data governance frameworks
Experience working with cloud computing platforms, including Google Cloud, Amazon Web Services and Microsoft Azure
Experience working with data analytics tools, including Google Data Studio and Tableau
Experience working with data science tools, including Python and R
Experience working with machine learning algorithms and models

We offer a competitive salary and benefits package, including a comprehensive health insurance plan, a 401(k) matching program and a generous paid time off policy. We also offer a dynamic and supportive work environment, with opportunities for professional growth and development.

If you are a motivated and experienced technical professional looking for a new challenge, we encourage you to apply for this exciting opportunity.

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]]> full-time senior hybrid Competitive salary and benefits package data analytics, data governance, cloud computing, project management, technical leadership, data science, machine learning, data platforms, data governance frameworks, Google Cloud, Amazon Web Services, Microsoft Azure, Google Data Studio, Tableau, Python, R, machine learning algorithms, data science tools Engineering Technology Fifty-Five https://logos.yubhub.co/view.com.png Fifty-Five is a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels. The company has over 320 employees worldwide. https://jobs.workable.com https://jobs.workable.com/view/3bHkbDwesiUkgLvBrfxgUo/hybrid-data-%26-cloud-technical-project-manager-(h%2Ff)-in-paris-at-fifty-five Paris 2026-03-09 015e5c6d-a31 Senior Data Engineer Why Valvoline Global Operations?

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.

Job Purpose

We are seeking a highly skilled and motivated Data Engineer to join our growing data and analytics team. The ideal candidate will have strong experience designing and developing scalable data pipelines, integrating complex systems, and optimizing data workflows. Proficiency in Databricks and SAP Datasphere is preferred, as these platforms are central to our data ecosystem.

How You Make an Impact (Job Accountabilities)

Design, build, and maintain robust, scalable, and high-performance data pipelines using Databricks and SAP Datasphere.
Collaborate with data architects, analysts, data scientists, and business stakeholders to gather requirements and deliver data solutions aligned with stakeholders' goals.
Integrate diverse data sources (e.g., SAP, APIs, flat files, cloud storage) into the enterprise data platforms
Ensure high standards of data quality and implement data governance practices. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
Provide ongoing support for the platform, troubleshoot any issues that arise, and ensure high availability and reliability of data infrastructure.
Create documentation for the platform infrastructure and processes, and train other team members or users in platform effectively.

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

Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
5-7+ years of experience in a data engineering or related role.
Strong knowledge of data engineering principles, data warehousing concepts, and modern data architecture.
Proficiency in SQL and at least one programming language (e.g., Python, Scala).
Experience with cloud platforms (e.g., Azure, AWS, or GCP), particularly in data services.
Familiarity with data orchestration tools (e.g., PySpark, Airflow, Azure Data Factory) and CI/CD pipelines.

Competencies Desired

Hands-on experience with Databricks (including Spark/PySpark, Delta Lake, MLflow, Unity Catalog, etc.).
Practical experience working with SAP Datasphere (or SAP Data Warehouse Cloud) in data modeling and data integration scenarios.
SAP BW or SAP HANA experience is a plus.
Experience with BI tools like Power BI or Tableau.
Understanding of data governance frameworks and data security best practices.
Exposure to data lakehouse architecture and real-time streaming data pipelines.
Certifications in Databricks, SAP, or cloud platforms are advantageous.

Working Conditions / Physical Requirements / Travel Requirements

Normal Office environment.
Prolonged periods of computer use and frequent participation in meetings
Occasional walking, standing, and light lifting (up to 10 lbs)

Minimal travel required.

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]]> full-time senior remote data engineering, Databricks, SAP Datasphere, SQL, Python, Scala, cloud platforms, data orchestration tools, CI/CD pipelines, Databricks, SAP Datasphere, SAP BW, SAP HANA, Power BI, Tableau, data governance frameworks, data security best practices, data lakehouse architecture, real-time streaming data pipelines Engineering Automotive Valvoline Global Operations https://logos.yubhub.co/jobs.valvolineglobal.com.png Valvoline Global Operations is a global company that develops future-ready products and provides best-in-class services for the automotive and industrial solutions industry. https://jobs.valvolineglobal.com https://jobs.valvolineglobal.com/job/Senior-Data-Engineer/1316654400/ 2026-03-08