Data Platform Security & Governance Leader

U.S. Bank • Cupertino, CA

1d • Onsite

About The Position

We are looking for an experienced AI Product Manager with strong expertise in Databricks and Snowflake platforms to define and deliver AI-driven and agentic capabilities across enterprise data governance platforms. This role focuses on platform-native AI, governance automation, intelligent workflows, and strong data foundations, enabling scalable governance and improved data usability.

Requirements

• Technical Product Management experience
• 8–12+ years in product management, data platforms, or AI-driven products
• Strong experience with data platforms: Databricks (Unity Catalog, pipelines, governance) or Snowflake (Horizon, Open Catalog, data sharing, governance)
• Strong working knowledge of data modeling: Conceptual, logical, and physical data models
• Understanding of entities, relationships, and key metrics
• Ability to translate business requirements into data structures
• Experience building AI-enabled platform features, including: Workflow automation, Metadata or governance automation, LLM or AI-driven capabilities
• Strong understanding of: Data governance concepts (metadata, lineage, access controls), Data structures and semantic consistency
• Experience defining: Product roadmaps, Use cases and feature prioritization, Success metrics and adoption goals
• Ability to work closely with engineering teams to deliver production solutions

Nice To Haves

• Experience working with governance platforms and platform-native AI / agentic capabilities, including: Collibra (control plane, metadata, policy management), Databricks Unity Catalog (lineage, access, governance), Snowflake Horizon / Open Catalog (governance, sharing, discovery), Databricks AI tooling (e.g., Agent Bricks, ML/LLM integrations), Snowflake AI capabilities (e.g., Cortex, automation frameworks)
• Experience designing: Agentic workflows or multi-step automation, AI-driven governance or data platform capabilities
• Familiarity with: API-driven integrations, Metadata-driven automation, Federated or open catalog frameworks
• Experience building AI-driven governance or workflow solutions
• Exposure to: Data product or data marketplace models, Governance automation frameworks
• Familiarity with evaluating AI systems: Accuracy, latency, cost, usability
• Experience in MDM
• Experience in regulated environments
• Success in This Role You will be successful if you: Deliver AI-powered features that reduce manual effort and improve efficiency, Enable scalable, automated governance workflows across data governance platforms, Build products that are intuitive, reliable, and production-ready
• You ask 'why' before 'how’ and can zoom in and out between strategic and technical perspectives.
• You prioritize ruthlessly and measure success in terms of outcomes, not output.
• You can tell a compelling data story to leadership & be an example of the potential of AI to transform data governance.
• Operate as a strong partner across business and engineering

Responsibilities

• Define and execute the roadmap for AI-enabled governance capabilities across Databricks and Snowflake platforms
• Identify and deliver high-impact use cases, including: Automated governance onboarding and assessments, Metadata enrichment, classification, and tagging, Lineage insights and recommendations, Workflow automation and policy enforcement
• Design agentic workflows that: Automate governance processes across data products, Leverage platform-native capabilities in Databricks and Snowflake
• Define requirements for: LLM-powered features (search, recommendations, metadata interpretation), RAG-based discovery and knowledge experiences
• Drive platform-native implementation by: Leveraging Databricks (Unity Catalog, Agent Bricks, Genie, AI/ML capabilities), Leveraging Snowflake (Horizon, Open Catalog, Cortex AI capabilities including Cortex, Coco app, and application-based governance workflows)
• Partner with engineering and platform teams to: Translate product needs into scalable solutions, Define success metrics (accuracy, adoption, cost, performance)
• Improve user experience through: Simplified governance workflows, Embedded AI capabilities, Intuitive discovery and access experiences
• Manage and scale a governance product delivery team
• Partner with engineering, enterprise data office, business, and domain teams to deliver governance outcomes

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed