Enterprise Data Governance Lead (Multiple openings)
Not Disclosed•Full-TimeOn-site
location_onVÉLO, 115, North 2nd Street, North Loop, Central, Minneapolis, Hennepin County, Minnesota, 55401, United States
About U.S. Bank
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.
About the Role
The Enterprise Data Governance Lead is a pivotal member of the Enterprise Data Governance (EDG) team. This role exists to protect the company's data assets by providing essential governance and oversight on critical data, ensuring strict compliance with regulations across all Business Lines. You will support key capabilities including Key Reports, Authorized Data Sources, Metadata Management, Data Catalog, Data Quality, Data Lineage, End-to-end Testing, and Data Governance Program management. In this position, you will collaborate closely with stakeholders to define data mappings, perform quality checks, and prepare scorecards that drive data integrity and analytical solutions.
Hiring Process & Application
The examination for this position may include an additional supplemental questionnaire; improper or missing responses could affect your application. Please note that this position is not eligible for visa sponsorship. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
U.S. Bank will consider qualified applicants with arrest or conviction records for employment, conducting background checks consistent with applicable local laws and federal requirements. Please be aware that this posting may be closed earlier due to a high volume of applicants.
Equal Opportunity & Culture
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability, or veteran status, and other factors protected under applicable law. We are committed to fostering an inclusive environment where diverse perspectives drive our success.
Work location
Work model: On-site
VÉLO, 115, North 2nd Street, North Loop, Central, Minneapolis, Hennepin County, Minnesota, 55401, United States
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Skills, education and keywords
Skills: SQL, Sas, Python, Power Bi, Tableau, Aws, Data Governance, Data Quality, Data Modeling, Financial Risk Management.
Education: Bachelor's degree or equivalent in Finance, Business Analytics, or Financial Risk Management.
Frequently asked questions about Enterprise Data Governance Lead (Multiple openings) at U.S. Bank
What does a Enterprise Data Governance Lead (Multiple openings) at U.S. Bank do?expand_more
In this Enterprise Data Governance Lead (Multiple openings) at U.S. Bank role, you will perform data quality checks using sql or python to map ads systems; lead data governance program and project management activities; build data models and reports utilizing analytical tools like tableau and power bi; and prepare and share data quality scorecards with business lines based on rule checks.
What are the requirements for this Enterprise Data Governance Lead (Multiple openings) role?expand_more
U.S. Bank is looking for candidates who meet the following requirements: Bachelor's degree or equivalent in Finance, Business Analytics, or Financial Risk Management; 5 years data governance or data analysis experience; 24 months experience building data models and reports; 24 months experience applying financial risk management principles; 24 months experience leading data quality initiatives using Tableau, SQL, and AWS; and 24 months experience with SQL, Power BI, SAS, Python.