Senior Product Manager, Data Governance

Role overview

A senior product manager is needed to drive the operational execution of an enterprise data governance function within a cloud-based data solutions team. The role focuses on building and running the policies, processes, and programs that keep organizational data trustworthy, compliant, and discoverable at scale. It blends strategic thinking with hands-on execution, partnering closely with business and technical stakeholders across domains.

Responsibilities

- Maintain and evolve the data domain model, ensuring clear ownership assignments and tracking adoption metrics for leadership reporting. - Facilitate the data governance council, including agenda setting, action tracking, and coordination with stewards across domains. - Support the development, documentation, and rollout of enterprise data policies; monitor compliance and coordinate remediation with domain owners. - Assemble governance documentation for audits and risk reviews while maintaining the policy register. - Own day-to-day operations of the business glossary, run definition workshops, certify terms with domain owners, and drive metadata standard adoption. - Coordinate data maturity assessments, synthesize outputs into actionable recommendations, and deliver training to raise data literacy across the organization.

Requirements

- 5+ years of experience in data governance, data management, or analytics, with a track record of implementing stewardship models, policy execution, or catalog rollouts. - Familiarity with established data governance frameworks such as DAMA DMBOK. - Working knowledge of modern data stack platforms including Snowflake, dbt, or cloud data warehouses. - Hands-on experience with data catalog and metadata management tools such as DataHub, Alion, or Atlan. - Proficiency in SQL for governance reporting and data quality analysis. - Strong workshop facilitation, consensus-building, and program management skills with the ability to manage multiple workstreams independently.

Nice to have

- Certified Data Management Professional (CDMP) certification or active coursework. - Experience with data observability tools such as Monte Carlo or Great Expectations. - Familiarity with compliance frameworks like SOC 2, GDPR, or CCPA, plus AI governance practices. - Prior background in B2B SaaS or restaurant technology.

Benefits and work setup

- Hybrid working model that emphasizes in-person collaboration while supporting individual flexibility. - Total rewards package including base salary, bonus or commission eligibility, equity, and benefits. - Geographic pay zones used to align compensation with local labor markets.