EDO Data Governance and Architecture Lead
Listed on 2026-07-24
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IT/Tech
Information Security & Data Protection, Data Engineering, Information & Knowledge Management, Data Warehousing
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.
We are seeking a highly skilled Senior Governance & Architecture Lead to join the Governance & Architecture team within the Enterprise Data Office. This active leadership role is critical to advancing the modernization of enterprise data governance and enablement capabilities by guiding, assessing, and executing data governance accelerators, applying architecture and data management standards and enablement frameworks for catalog, lineage, data quality, and access management aligned with the Enterprise Data Governance, Security, Privacy, Technology, Risk, and Enterprise Architecture teams.
The role focuses on accelerating domain, product, and platform governance to improve speed and consistency in data delivery, reduce risk, and ensure regulatory compliance.
We are the data governance and architecture standards body for the Enterprise Data Office, focused on data and AI governance for domain, product, and platform to build trust and improve speed of data product delivery.
VisionMake data products and AI solutions accurate, secure, safe, and compliant.
MissionDeliver modern governance and architecture accelerators to speed up adoption and execution.
About the RoleThe Senior Governance & Architecture Lead is a senior contributor and leadership role; responsibilities include accelerating data governance adoption through implementation and application of modern technology stack capabilities, data model standards development, data movement, storage, and consumption architecture skills, and ensuring that domain and product team needs are met to comply with governance requirements. This role sits at the intersection of product enablement, technical strategy, and execution, acting as key governance resource for delivery teams across the Enterprise Data Office and broader bank.
Unlike a traditional data governance role, this position focuses less on day‑to‑day catalog, lineage and data quality implementations and more on defining standards and creating reusable accelerators to improve sourcing, ingestion, and consumption patterns, and operating guidance that materially improve time to value, consistency, and quality of data products.
The ideal candidate brings deep technical credibility, strong product thinking, and the ability to influence across teams without formal authority. This role plays a critical part in reducing fragmentation, improving developer and analyst productivity, and ensuring that modern data governance capabilities are adopted safely and effectively at scale.
Key Activities- Lead the design and evolution of reusable data governance accelerators and ensure regulatory and compliance requirements are met across data, product, and platform.
- Expertise and implementation of governance capabilities (Unity, Horizon, and DIP) in platforms such as Snowflake, Databricks, Collibra and Power Platform.
- Serve as a data governance advisor to product delivery teams adopting enterprise data governance.
- Identify recurring friction points in data product delivery and design scalable solutions that remove barriers.
- Partner with platform, architecture, and governance teams to evaluate, test, and validate data and analytics tools.
- Lead proofs of concept and comparative assessments to inform tool rationalization and standardization decisions.
- Translate platform capabilities into clear adoption pathways, playbooks, and usage guidance for teams.
- Apply product thinking to data and analytics capabilities, ensuring solutions are designed for usability, adoption, and measurable impact.
- Define success metrics for accelerators and…
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