Senior Technical Product Manager 1 - AI Enabled Data Governance

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.

The Senior Technical Product Manager - AI Enabled Data Governance is responsible for defining, building, and scaling the enterprise’s integrated governance platform across multi cloud environments and diverse data ecosystems. This leader will architect and operationalize a unified governance experience that connects Snowflake, Databricks Unity Catalog, and other ecosystem technologies to ensure secure, compliant, and trusted data usage across the organization.   The ideal candidate combines deep data governance expertise with strategic product leadership - driving interoperability, automation, data driven innovation, and alignment with regulatory, security, and business objectives. Key Responsibilities • Architect and maintain end-to-end governance frameworks for data lineage, data quality, metadata management, access governance, and compliance across AWS, Azure, and on prem environments. • Establish scalable patterns for metadata ingestion, lineage orchestration, and policy enforcement to ensure consistent and automated governance. • Unify Snowflake, Databricks Unity Catalog, and adjacent technologies into a cohesive governance fabric that supports interoperability and consistent controls. • Define integration standards and interoperability patterns to ensure unified governance across platforms, data domains, and cloud environments. • Define governance operating models for data products, shared datasets, and marketplace offerings to support standardized, governed data consumption. • Enable secure, compliant, and frictionless data sharing using entitlement frameworks, data contracts, and standardized exchange patterns. • Partner with SMEs across lineage, data quality, privacy, risk, and engineering to embed governance capabilities into workflows and development lifecycles. • Lead governance evangelism to promote adoption, improve usability, and drive consistent enterprise wide execution. • Develop API driven patterns and automation for metadata ingestion, lineage capture, quality metrics, and governance workflows. • Champion automation first practices to reduce operational overhead, improve governance scalability, and ensure consistent control enforcement. • Collaborate closely with architecture, engineering, product, risk, and business teams to align governance capabilities with enterprise priorities. • Influence executive stakeholders through a clear vision, measurable outcomes, and demonstrated strategic impact. • Define KPIs that measure governance adoption, data quality improvements, regulatory readiness, and platform performance. • Provide leadership reporting that clearly communicates program value, progress, risks, and mitigation strategies. Qualifications •  12–15+ years in data governance, enterprise data management, or platform architecture leadership roles •  Expert level knowledge of metadata management, data lineage, data quality, compliance, and enterprise governance frameworks •  Hands on proficiency with Snowflake, Databricks Unity Catalog, and related governance ecosystem technologies •  Proven experience architecting and governing multi cloud environments (AWS + Azure) and hybrid/on prem integrations •  Experience designing API driven integrations, automation workflows, and governance engineering patterns •  Background in building governed data marketplaces, secure data