Product Manager — Enterprise Data Governance & AI

Google LLC; San Jose (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google LLC is hiring a Product Manager for Enterprise Data Governance to guide data-driven products from idea to launch. You will bridge technical and business teams to design, build, and deploy data governance solutions that scale across the enterprise.

In this role, you will shape product strategy for an active semantic data platform, collaborate with engineers, designers, and stakeholders, and drive initiatives that enable autonomous workflows and secure data practices at scale.

Qualifications

• Bachelor's degree or equivalent/practical experience.
• Experience taking software products from conception to launch (0 to 1).
• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience building or implementing AI/ML-driven features or infrastructure.

Responsibilities

• Organize cross-functional execution by prioritizing investments and feature direction for data governance frameworks.
• Evaluate approaches to solve complex data lifecycle issues and establish cross-domain data excellence.
• Direct resolution of technical, privacy, accountability, and design issues to ensure secure, high-integrity data.
• Build consensus across executive stakeholders to enforce clear data ownership.

Skills

AI/ML enterprise experience

End-to-end product development

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Master's degree in technology or business (preferred)

Tools

APIs

Data pipelines

LLMs / NLP tooling

Job description

Google LLC is hiring a Product Manager for Enterprise Data Governance to guide data-driven products from idea to launch. You will bridge technical and business teams to design, build, and deploy data governance solutions that scale across the enterprise.

In this role, you will shape product strategy for an active semantic data platform, collaborate with engineers, designers, and stakeholders, and drive initiatives that enable autonomous workflows and secure data practices at scale.