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 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! This role also requires hands‑on technical skills, including experience with SQL for data analysis and validation, as well as a basic understanding of AI productivity tools such as ChatGPT, Microsoft Copilot, Snowflake, Collibra and related technologies. Knowledge of Python is required. This role does not support visa sponsorship and requires working from a U.S. Bank location three (3) or more days per week.
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Job Type
Full-time
Career Level
Mid Level