Senior Product Manager, Data Governance

Toast creates technology that helps restaurants and local businesses succeed in a digital world. The Senior Product Manager, Data Governance will execute enterprise data governance programs by managing policies, ownership models, compliance processes, business glossaries, metadata standards, maturity assessments, and data literacy initiatives.

Responsibilities:

• Manage and maintain the Data Domain Model, ensuring clear ownership assignments. Facilitate the Data Governance Council (agendas, action tracking, meeting facilitation), partner with Data Stewards across domains, and track program adoption metrics and maturity KPIs for leadership
• Support the development, documentation, and roll-out of enterprise data policies. Monitor compliance, coordinate remediation with domain owners, maintain the policy register, and assemble governance documentation for audits and risk reviews
• Own day-to-day operations of Toast's Business Glossary by facilitating definition workshops and certifying terms with domain owners. Partner with the data catalog team to enforce metadata standards, build onboarding guides, and run regular office hours to drive user adoption
• Support the enterprise data strategy through stakeholder synthesis and executive materials. Coordinate data maturity assessments, synthesize outputs into actionable recommendations, and deliver training programs to raise data literacy across the company

Requirements:

• • Experience: 5+ years in data governance, data management, or analytics. Proven track record of supporting or implementing governance programs (stewardship models, policy execution, catalog rollouts) and driving adoption in fast-moving, complex environments
• • Familiarity with data governance frameworks (e.g., DAMA DMBOK)
• • Working knowledge of modern data stack platforms (Snowflake, dbt, cloud data warehouses)
• • Hands-on experience with data catalog/metadata management tools (e.g., DataHub, Alation, Atlan)
• • Proficiency in SQL for governance reporting and data quality analysis
• • Leadership & Program Management: Exceptional workshop facilitation and consensus-building skills. High degree of organization with a track record of managing multiple workstreams and executing independently
• • Certified Data Management Professional (CDMP) certification (or active coursework)
• • Hands-on experience with data observability tools (e.g., Monte Carlo, Great Expectations)
• • Familiarity with compliance frameworks (SOC 2, GDPR/CCPA, internal audit) or AI governance/responsible data practices
• • Prior experience in B2B SaaS or restaurant technology