Senior Product Manager, Enterprise Data & AI Governance

Google Inc.

San Jose (CA)

On-site

USD 192,000 - 278,000

Full time

14 days+
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Job summary

Google is seeking a Senior Product Manager for Enterprise Data Governance in San Jose. You will guide products from conception to launch, bridging technical and business worlds, and translating complex data challenges into actionable roadmaps.

In this role, you’ll collaborate with engineering, UX, sales, and finance to drive high-impact enterprise data initiatives, advancing an AI-ready data foundation and semantic integrations across Google’s data platform.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in technical product management.
  • 3 years of experience taking technical products from conception to launch.
  • Experience building or implementing AI/ML-driven features or infrastructure.
  • Experience taking software products through a full lifecycle.
  • Experience working with cross-functional teams.

Responsibilities

  • Drive vision and lifecycle for Enterprise Data Governance initiatives.
  • Identify opportunities and prioritize investments across the hub-and-spoke model.
  • Leverage AI to enhance productivity and enable autonomous workflows.
  • Develop solutions for complex cross-domain data challenges.
  • Build consensus with tech leads and senior managers for data ownership.

Skills

Domain expertise
Decision making
Ambiguity management
Cross-functional collaboration
AI/ML feature experience
End-to-end product lifecycle
Technical product management

Education

Bachelor's degree or equivalent practical experience
Master's degree in tech or business

Job description

Google is seeking a Senior Product Manager for Enterprise Data Governance in San Jose. You will guide products from conception to launch, bridging technical and business worlds, and translating complex data challenges into actionable roadmaps.

In this role, you’ll collaborate with engineering, UX, sales, and finance to drive high-impact enterprise data initiatives, advancing an AI-ready data foundation and semantic integrations across Google’s data platform.

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