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, 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  This role requires working from a U.S. Bank location three (3) or more days per week.  If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our  disability accommodations for applicants . Benefits:   Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: 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 a