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 and integrate across platforms (Databricks, Snowflake, Collibra, Glue)
Define requirements for LLM-powered features (search, recommendations, metadata interpretation) and RAG-based knowledge and discovery experiences
Partner with engineering and platform teams to translate product needs into technical solutions and define success metrics (accuracy, adoption, efficiency, cost)
Improve user experience and adoption through simplified workflows, embedded AI capabilities, and intuitive data discovery
Manage and scale a governance product delivery team and partner with engineering, enterprise data office, business, and domain teams to deliver governance outcomes
Requirements
8–12+ years in product management, data governance platforms, or AI-driven products
Experience building or scaling data governance platform products