Senior Technical Product Manager - Data Governance Technology Platform Lead

About the role

We are seeking an experienced AI Product Manager to lead the development of AI-driven and agentic capabilities across enterprise data governance platforms. This role focuses on automation, intelligent workflows, and user-centric experiences, aiming to enhance scalability, data usability, and reduce manual effort through AI.

Responsibilities

• Define and execute the roadmap for AI-enabled governance and data governance platform capabilities
• Identify and deliver high-impact use cases, including:
• Automated onboarding
• Metadata enrichment and classification
• Workflow automation and policy enforcement
• Data discovery and recommendations
• Design agentic workflows that:
• Automate multi-step governance processes
• Integrate across platforms (Databricks, Snowflake, Collibra, Glue)
• Partner with engineering and platform teams to:
• Translate product needs into technical solutions
• Define success metrics (accuracy, adoption, efficiency, cost)
• Improve user experience and adoption through:
• Simplified workflows
• Embedded AI capabilities
• Intuitive data discovery
• Manage and scale a governance product delivery team
• Work with engineering, enterprise data office, business, and domain teams to deliver governance outcomes

Qualifications

• Technical Product Management experience
• 8–12+ years in product management, data governance platforms, or AI-driven products
• Strong product management skills: Roadmap definition, Prioritization, Stakeholder alignment
• Experience working with: AI/ML or LLM-based systems, Data platforms (Databricks, Snowflake), Metadata, governance, or workflow-driven systems
• Ability to: Define AI use cases and product requirements, Work closely with engineering teams to deliver solutions

Preferred Experience

• Working with governance platforms and platform-native AI / agentic capabilities, including: Governance platforms: Collibra (control plane, metadata, policy management), Databricks Unity Catalog (lineage, access control, governance), Snowflake Horizon / Open Catalog (governance, sharing, discovery)
• Platform AI and agentic tooling: Databricks AI capabilities (e.g., Agent Bricks, ML/LLM integrations, workflow automation), Snowflake AI capabilities (e.g., Cortex, AI/ML services, automation frameworks)
• Open and interoperability frameworks: Open Catalog / federated catalog approaches, API-driven integration across platforms, Metadata-driven and automation-driven governance
• Exposure to: Data marketplace or data product models, Governance automation tools, Familiarity with evaluation frameworks for AI systems: Accuracy, latency, cost, usability
• Experience in: Financial services or regulated environments

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law