AI Strategy & Transformation Leader

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

Role Overview

The  AI Strategy & Transformation is a senior enterprise leader responsible for shaping how AI strategy is translated into scalable, high-impact outcomes across the organization. Reporting to the Head of AI Strategy and Portfolio, this role serves as a strategic partner—guiding portfolio direction, enabling transformation, and orchestrating internal and external capabilities to accelerate AI adoption and value realization. The role also supports AI is deployed responsibly by embedding governance, risk, compliance, privacy, and security requirements into enterprise AI portfolio, operating models, and delivery practices.

Core Responsibilities

Enterprise AI Strategy Enablement

Partner with the Head of AI Strategy to operationalize enterprise AI strategy through roadmaps, RAI principles, and transformation priorities.

Drive cross-business alignment to ensure AI initiatives reinforce a unified enterprise direction while enabling domain-specific tailoring.

Enable AI product/platform strategy execution by translating strategy into reusable enterprise capabilities, reference patterns, and adoption plans.

Responsible AI, Governance, Risk & Compliance

Partner with Risk, Compliance, Legal, Privacy, Security, and Model Risk Management to align AI initiatives with enterprise governance requirements and emerging regulatory expectations.

Establish and scale governance mechanisms (e.g., model inventory, approval workflows, controls, auditability, monitoring) that support safe and compliant AI deployments.

Portfolio Shaping, Value Realization & Measurement

Shape and prioritize high-impact AI use cases and transformation initiatives; ensure the pipeline balances quick wins, strategic bets, and foundational platform capabilities.

Implement measurement frameworks to evaluate business impact, efficiency, risk reduction, customer outcomes, and ROI for AI deployments; continuously inform strategy and solution improvements based on measurable outcomes.

Drive organizational engagement through outreach, workshops, and collaborative forums to instill an AI-first mindset and best practices at scale.

Transformation Enablement & Cross-Functional Delivery

Guide large, cross-functional AI programs to ensure alignment, execution discipline, and value realization across business and technology teams.

Identify and support breakthrough transformation initiatives (e.g., workforce transformation through advanced automation) to accelerate readiness and adoption across the organization.

Influence without direct authority to align stakeholders across business lines, enterprise architecture, engineering, data, operations, and risk functions.

Strategic Vendor & Ecosystem Leadership

Lead strategic AI vendor and ecosystem partnerships across hyperscalers, AI platforms, data providers, and system integrators.

Inform build-vs-buy decisions and enterprise investment trade-offs; ensure vendor choices align with architectural standards, responsible AI controls, and operating model requirements.

Preferred Qualifications

• 12–15 years of progressive experience spanning enterprise strategy, technology leadership, and large-scale transformation, with increasing responsibility at the executive or senior leadership level.

• Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Information Systems, Business Administration, or a closely related field; PhD preferred but not required.

• Demonstrated experience defining and operationalizing enterprise AI strategies, including generative AI, advanced analytics, and intelligent automation in complex, regulated environments.

• Proven track record of leading AI architecture and platform decisions at scale, including cloud-based AI services, data platforms, and integration patterns.

• Extensive experience partnering with C-suite leaders and business executives to translate strategy into measurable business outcomes and transformation roadmaps.

• Strong background in vendor and ecosystem management, including evaluation, governance, and delivery accountability across