Data Platform Security & Governance Leader

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

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. 

What You’ll Do 

• 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 

Basic Qualifications
-Technical Product Management experience

Qualifications Required:

• 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 

Preferred 

• 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 

Nice to Have 

• 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, co