Data Governance Analyst

Overview

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.

Brings to the data governance team Data as a Product in service to Data Governance as a Service mindset. This role will focus on the development and deployment of the Data Catalogues through Metadata & Metrics, and will support Data Integrity efforts across Transformations, and Reference Table Management in understanding and translating critical data into usable Metric, Quality, Transformation, and Metadata catalogue supports.

Candidate will partner across Operations within a Shared Services Organization supporting Lines of Business, Risk/Compliance professionals, technology, and business line leaders to support and maintain data governance practices and processes within Operations as it relates to data, analytics and reporting. Through knowledgeable application of Business Intelligence (BI) Visualization tools, and data implementation approaches which support requirements gathering and understanding Metrics to Metadata lineage support across Data Engineering Teams, Reporting & Analytics Teams, Compliance Teams, Risk Partners, and will leverage Enterprise Data Governance tools.

• Support and maintain data governance practices and processes within Operations as it relates to data, analytics and reporting.
• Develop and deploy Data Catalogues through Metadata & Metrics, and support Data Integrity across Transformations and Reference Table Management.
• Collaborate with Operations, Lines of Business, Risk/Compliance, technology, and business leaders to translate critical data into usable metrics and metadata.
• Apply BI visualization tools and data implementation approaches to gather requirements and support Metrics to Metadata lineage across Data Engineering, Reporting & Analytics, Compliance, and Risk teams.

• Cloud Platform Expertise
  • Hands-on experience with Microsoft Azure (data services like Azure Synapse, Azure Data Factory, Databricks) or similar AWS background
  • Familiarity with Databricks or Snowflake, including data cataloging, lineage tracking, access history, and integration with governance tools like Unity Catalog / Collibra
• Data Governance Tools
  • Proficient in Databricks and/or Collibra for quality, metadata management, data lineage, and policy enforcement across enterprise systems
  • Experience with data catalog deployment, including support for transformation tracking and reference table management
• Data Engineering & Analytics
  • Strong SQL skills across platforms (Oracle, Microsoft SQL Server, IBM SQL) for querying, profiling, and transforming data
  • Exposure to Databricks or Snowflake for scalable data processing, orchestration, and machine learning workflows
  • Familiarity with semantic modeling, source-to-target mapping, and data visualization using tools like Power BI
• Governance & Compliance
  • Understanding of data governance principles, including policy development, regulatory compliance, and risk documentation
  • Ability to enforce controls ensuring data is fit for purpose and supports business processing needs
• Technical Collaboration & Documentation
  • Experience working in matrixed organizations with cross-functional teams (Risk, Compliance, Data Engineering, Business Intelligence)
  • Strong documentation skills for systems, data flows, and governance processes

• Bachelor's degree, or equivalent work experience
• Two to three years of experience in data governance activities

• Basic project management/business analysis knowledge and familiarity with the business line processes and/or applications
• Thorough understanding of Data Governance principles
• Thorough knowledge of data architecture…