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AI Implementation and Strategic Execution

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: U.S. Bank
Full Time position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
AI Implementation and Strategic Execution page is loaded## AI Implementation and Strategic Execution locations:
Minneapolis, MNtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
March 20, 2026 (17 days left to apply) job requisition :
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 a senior, execution focused leader to drive the practical adoption, scaling, and value realization of artificial intelligence across its Payments:
Consumer and Small Business (PCS) organization . This role sits within PCS CAO team and is accountable for translating AI ambition into measurable business outcomes—improving growth, risk outcomes, client experience, and operational efficiency. ‑focused leader to drive the practical adoption, scaling, and value realization of artificial intelligence across itsThis is not an advisory role. The leader will own
** delivery**, partner deeply with product, technology, risk, operations, and finance, and ensure AI capabilities are deployed safely, compliantly, and at scale across various parts of the PCS line of business.

This role will also be accountable for driving other select high value broad transformative initiatives. This role will function as a thought leader to influence business leaders to rethink their organizational structure and workflows. This leader will be required to challenge the status quo and drive re-imagining full processes and then leveraging AI to drive truly material transformation.
** Key Responsibilities
**** AI Delivery of PCS‑Specific AI Use Cases
*** Own the end‑to‑end execution of AI use cases across PCS:
Identify use cases with problem definition, gain investment commitments, drive execution and track results through well aligned and well understood OKRs.
* Translate PCS business priorities into an actionable AI delivery roadmap aligned to P&L, risk, and client experience objectives.
* Build strong relationships with internal partners and external vendors to identify the optimal speed to market leveraging resource and skills availability, both internal and external.
** Delivery of high priority transformative initiatives
*** Own transformation effort to challenge status quo and drive re-imagining full processes which subsequently will leverage AI to drive truly material transformation.
* Work with Payments executive leadership to ensure timely execution of key strategic initiatives.
* Be the connective tissue to ensure AI considerations are included in long term work force strategy while rethinking holistic organizational structure and workflows.

L
** eadership & Influence
*** Lead a high-performingcross-functional teamof execution focused individuals to help drive initiatives forward to deliver business outcomes
* Foster a culture of innovation, experimentation, and measurable impact across product and engineering teams.
* Partner with PCS Product, Technology, Operations, Marketing, Risk, Compliance, and Finance leaders to influence without direct authority.
* Act as the single point of accountability for AI execution within PCS, coordinating across enterprise AI, data, and platform teams as needed.
** Governance, Risk & Responsible AI
*** Ensure AI solutions meet U.S. Bank’s standards for model risk management, data governance, security, privacy, and regulatory compliance.
* Operationalize responsible AI principles within PCS, balancing innovation with safety, explain ability, and control.
* Prepare the business for regulatory scrutiny related to AI‑driven decisioning in payments and financial services.
** Value Measurement & Change Enablement
*** Define success metrics and track realized value from AI initiatives…
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