Enterprise Data Architect
U.S. BankAbout the role
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
U.S. Bank is seeking an experienced Enterprise Data Architect to define, lead, and evolve our enterprise-wide data architecture strategy. As a member of the Enterprise Architecture team, this role closely partners with the Technology and Data organization to design modern, scalable, secure, and cloud-based data ecosystems that align with business objectives. The ideal candidate will have a blend of strategic and technical thinking, solving the most complex enterprise data problems with enterprise grade data solutions.
Key Responsibilities
Define and drive enterprise data architecture strategy
- Establish target-state data platform architectures and standards aligned to business priorities.
Translate business requirements into scalable data architecture solutions.
Design and govern enterprise data ecosystems
Architect data solutions and integration strategies across systems.
Ensure consistent access, integration, and consumption of data across platforms.
Lead data architecture governance and quality initiatives
Define standards for data quality, metadata, master data, and lifecycle management.
Establish data governance policies, compliance controls, and security practices.
Drive platform and technology decisions
Evaluate and recommend data platforms, tools, and emerging technologies.
Define standards for data integration, pipelines, and data services.
Collaborate across business, data, and technology teams
Partner with stakeholders to align data architecture with enterprise objectives.
Act as a bridge between data strategy and technical execution.
Provide leadership and oversight
Lead architecture reviews and ensure adherence to standards
Support delivery teams through the product lifecycle.
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