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Sr. Product Manager, Data Governance

Databricks· Engineering
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San Francisco, CA$156.6k - $215.3kfull-timePosted 11mo ago

About the role

Senior Product Manager for Unity Catalog, Databricks' metadata and governance foundation for the Lakehouse. Responsible for coordinating all product activities from vision to implementation, engaging enterprise customers, defining strategy and roadmaps, working with engineering, and ensuring product success across stakeholders.

Responsibilities

  • Design and launch new governance and security capabilities as part of Unity Catalog.
  • Define and build new platform services that enable Databricks’ data & AI product teams to add workload-specific governance capabilities for Unity Catalog and the Lakehouse.
  • Take new features from ideation/exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all segments.
  • Bring insights about the data governance persona, customers, and market to engineering and leadership by working closely with customers and partners.

Qualifications

  • 5+ years of enterprise B2B Product Management experience
  • Educational background in computer science or related engineering practice
  • Experience working with databases and/or data warehouses, security, and catalogs
  • Experience building user-facing products for Data Analysts, Scientists, and/or Engineers
  • Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
  • Experience in working closely with enterprise customers and ISV partners in the data market

Skills

Required:Enterprise B2B product managementData governance / securityCustomer engagement

Benefits

  • Benefits information available via region-specific document linked in the job description.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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