AI Strategy – Transformation Leader

U.S. Bank

AI Strategy & Transformation Leader at U.S. Bank responsible for shaping enterprise AI strategy and governance.

Posted 5/28/2026full-timeChicago • Illinois, Minnesota • 🇺🇸 United StatesSenior💰 $181,730 - $213,800 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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.
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.
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 that support safe and compliant AI deployments.
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.
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 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.
Lead strategic AI vendor and ecosystem partnerships across hyperscalers, AI platforms, data providers, and system integrators.

Requirements

What you’ll need

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 partners.
Experience leading cross-functional teams and influencing without direct authority across business, technology, risk, compliance, privacy, and security functions.
Deep understanding of responsible AI, model governance, security, and regulatory considerations, with the ability to embed these principles into enterprise architecture and operating models.
Exceptional executive communication skills, with the ability to influence strategy, align stakeholders, and present complex technical concepts to non-technical audiences.

Benefits

Comp & perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

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Hard Skills & Tools

AI strategygenerative AIadvanced analyticsintelligent automationAI architecturecloud-based AI servicesdata platformsintegration patternsenterprise capabilitiesmeasurement frameworks

Soft Skills

influence without direct authorityexecutive communicationstakeholder alignmentorganizational engagementcollaborative forumscross-functional leadershipstrategic thinkingproblem-solvingworkshop facilitationchange management

Certifications

Master’s degree in Computer ScienceMaster’s degree in Data ScienceMaster’s degree in Artificial IntelligenceMaster’s degree in EngineeringMaster’s degree in Information SystemsMaster’s degree in Business AdministrationPhD in related field