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# Enterprise Data Governance Lead (Multiple openings) in Minneapolis, MN.

- **Company:** U.S. Bank, National Association
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $136,469.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Data Validation, Data Governance, Python (Programming Language), Meta-Data Management, Metadata Repositories, E2e Testing, Power BI, SAS (Software), SQL Databases, Tableau (Software), Data Lineage
- **Published:** June 1, 2026
- **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Minneapolis-MN/Enterprise-Data-Governance-Lead--Multiple-openings--in-Minneapolis--MN_2026-0013926

## About the Role

This position requires a Bachelor's degree or equivalent in Finance, Business Analytics, or Financial Risk Management and 5 years (progressive, post-baccalaureate) data governance or data analysis experience., Must also have 24 months of experience with each of the following: 1) Building data models and reports utilizing analytical tools. 2) Applying the principles of financial risk management to create, implement, maintain, review and oversee an effective financial risk management framework capturing material risks related to interest rate risk, liquidity risk, credit risk, and market risk. 3) Leading data quality initiatives and advanced analytics projects using Tableau, SQL, and AWS. 4) Working with the following tools: SQL, Power BI, SAS, Python. Employer will accept experience gained concurrently. U.S. Bank is subject to and conducts background checks consistent with the regulatory requirements applicable to our industry and operations.

## Description

The Enterprise Data Governance Lead is part of the Enterprise Data Governance (EDG) team, which works with all Business Lines to protect the company's data assets by providing governance and oversight on critical data and ensuring compliance with regulations. Will support key capabilities including Key Reports and Authorized Data Sources, Metadata Management and Data Catalog, Data Quality, Data Lineage, End-to-end Testing, Data Quality Defect / Issue Management, and Data Governance Program / Project management. Specific duties will include the following:

 * Perform Data Quality checks by working with Business Lines to define the mapping of ADS systems and perform DQ check using SQL or Python.
 * Based on the DQ rules check a DQ scorecard is prepared and shared with the Business Lines.
 * Coordinate with key stakeholders in one or more assigned Business Lines for Data Quality and Analytical solutions.

Utilizes the following tools/technologies: SQL, SAS, Python, Power BI, Tableau, AWS.


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