Senior Technical Product Manager - Data Governance Technology Platform Lead

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

Technical Product Managers at U.S. Bank oversee the strategic product management for an assigned technical product line(s) in support of the Enterprise organization’s goals and market needs. Engages with key stakeholders to define, document, and prioritize features; ensures delivery of marketable capabilities for all U.S. Bank engineering teams while collaborating with agile teams. As a Technical Product Manager, you will:

-Aligns the strategic vision with cross-functional stakeholders to shape outcome-based product roadmap, product risk, investment areas and success measures.
-Drives product development with ownership of backlog and actively engages cross-functional stakeholders to enable faster speed to market.
-Manages across Enterprise users to define and deliver product performance goals (e.g., outcomes, customer experience, etc.).
-Owns all engagement for assigned technical portfolio regarding the SDLC, e.g., adoption, collaboration.
-Develops, analyses, monitors, and reports on performance metrics from internal and external sources to identify key trends and opportunities for continuous improvement.
-Uses performance metrics to drive towards progress on identified strategies and initiatives.
-Leverages OKRs (Objectives and Key Results) to drive roadmap priorities

Basic Qualifications
-Technical Product Management experience

Preferred Skills/Experience
-Expertise on the critical interdependencies among product model system elements that help and hinder performance; ability to plan and design solutions that synchronize resources to achieve business results using business metrics, key performance indicators design systems, service blueprints, and reusability
-Technical know-how understands the product technical architecture and understands the economics of technical investments
-Demonstrates deep understanding of target customer through internal/external research (e.g., creation of personas, story maps, product chartering/mapping experience)
-Strong collaboration with software engineers to execute product vision and roadmap
-Preferred skills: product strategy, vision and planning, product discovery, product development, agile ways of working, enterprise technical alignment and performance measurement and optimization

Role Summary
The Data Governance Platform & Ecosystem Lead 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 Collibra, 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 Collibra, 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 patt