AI Strategy & Transformation Leader

U.S. Bank•Minneapolis, MN

1d•$181,730 - $213,800•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

PhD preferred but not required.

Responsibilities

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 (e.g., model inventory, approval workflows, controls, auditability, monitoring) 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 (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.
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.

Benefits

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
Incentive and recognition programs
Equity stock purchase
401(k) contribution and pension