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Sr Principal, Product Owner – Enterprise Data Management
Sr Principal, Product Owner – Enterprise Data ManagementKeurig Dr Pepper • Frisco, TX
Sr Principal, Product Owner – Enterprise Data Management

Sr Principal, Product Owner – Enterprise Data Management

Keurig Dr Pepper • Frisco, TX
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Job Overview :

Sr Principal, Product Owner Enterprise Data Management

Are you ready to redefine how data becomes enterprise intelligence?What if you could deliverthe pipelines that fuel AI, streamline governance, and unlock insights before questions are even asked? At Keurig Dr Pepper, were building the future of dataone domain, one signal, one intelligent decision at a time. If you thrive at the intersection of bleeding-edge technology and business transformation, this is your moment.

Your Mission : As the Sr Principal Product Owner Enterprise Data Management, you will execute the Data Operations strategy for KDPs next-generation data platforms. You will be responsible for delivering capabilities that support raw data acquisition, domain-based data ownership, and AI-powered DataOps. This role is critical to enabling scalable, intelligent data infrastructure aligned with KDPs Unified Architecture and AI Data Readiness strategies.

What Youll Do

Execution of Strategic Data Capabilities

  • Deliver platform capabilities that support raw data ingestion, profiling, and domain-based ownership across the enterprise.
  • Operationalize medallion architecture (Bronze Silver Gold) to support scalable, governed data pipelines.
  • Translate business needs into prioritized backlogs and sprint plans that accelerate AI enablement and data readiness.

AI-Driven DataOps Enablement

  • Execute delivery of AI-embedded DataOps features including automated governance, anomaly detection, and intelligent metadata discovery.
  • Partner with engineering and architecture teams to implement scalable ingestion pipelines and domain-specific data products.

    • Domain Stewardship & Marketplace Partnership

  • Enable domain stewards to manage and activate their data assets through platform capabilities and tooling.
  • Partner with the Enterprise Data Marketplace team to ensure seamless integration and discoverability of curated data products.

    • Stakeholder Engagement

  • Collaborate with business units, data stewards, and technical teams to ensure alignment on governance, access policies, and platform capabilities.
  • Facilitate cross-functional collaboration to deliver high-value data products and ensure stakeholder satisfaction.

    • Governance & Compliance

  • Ensure robust metadata management, lineage tracking, and policy enforcement across all data domains.
  • Collaborate with the Data Governance Executive Board to align platform capabilities with regulatory and business standards.

    • Who You Are

  • A delivery-focused technologist with deep expertise in product management, data operations, and AI enablement.
  • A disciplined executor who can translate complex business needs into scalable data solutions.
  • A collaborative leader who thrives in cross-functional environments and drives alignment across business and technical stakeholders.

    • Total Rewards :

  • Salary Range : $, - $,
  • Actual placement within the compensation range may vary depending on experience, skills, and other factors
  • Benefits, subject to election and eligibility : Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), k with company match, Tuition Reimbursement, and Mileage Reimbursement
  • Annual bonus based on performance and eligibility

    • Requirements :

  • Bachelors degree in Computer Science, Information Technology, Business Administration, or equivalent experience.
  • 7+ years of data engineering / product management or related experience, with a focus on large scale data platforms and AI / ML enablement.
  • Proven experience in multi-tier environments across business, technology, and operations.
  • Expertise in Agile methodologies, user-centered design, and backlog management.
  • Experience with tools such as Snowflake, Databricks, Informatica, Alation / Collibra preferred.
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