Head of AI Delivery

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

Head of AI Solutions

This role operates across innovation, execution, governance, and transformation to ensure AI solutions align with Responsible AI principles, regulatory expectations, enterprise architecture, and business priorities. The leader will build strong partnerships across the enterprise, industrialize delivery models, and help position U.S. Bank as an AI-enabled financial institution delivering secure, scalable, and differentiated customer and employee experiences.

Summary

The Head of AI Solutions leads enterprise AI solution delivery, translating strategy and product roadmaps into measurable business value. This leader scales trusted, compliant, enterprise-grade AI capabilities from experimentation to production; coordinates delivery across the AI CoE, technology, risk, and business partners; promotes reuse; and accelerates execution against enterprise AI priorities.

Key Responsibilities

AI Innovation and Solution Development

Lead the design, development, and deployment of high-impact AI solutions across business lines
Drive rapid experimentation, prototyping, and pilot execution, converting innovations into enterprise-scale deployments
Move ideas from experimentation and prototyping into production-ready, commercially viable, enterprise-scale capabilities
Oversee priority solution domains, including agentic AI, document intelligence, advanced models, and generative AI applications

Enterprise Value Delivery

Own delivery of measurable outcomes, including revenue growth, cost optimization, efficiency gains, risk reduction, and customer or employee experience improvements
Lead multi-disciplinary teams across ideation, validation, deployment, scaling, and optimization.
Partner with technology and product organizations to industrialize AI delivery and establish reusable patterns, platforms, and capabilities
Maintain strong regulatory, risk, ethical, and Responsible AI practices, proactively addressing bias, model risk, privacy, security, and unintended consequences.
Provide leadership across the full AI lifecycle including in Ideation and early-stage R&D, Experimentation and validation, Production deployment, Enterprise scaling and optimization

Thought leadership

Serve as a senior advisor and integrator across decentralized AI initiatives, ensuring alignment to enterprise strategy and investment priorities
Collaborate with business lines, product, technology, risk, legal, compliance, and data teams to embed governance and controls into delivery
Advance research, patents, intellectual property, external partnerships, academic relationships, and industry presence where they strengthen enterprise priorities

Enterprise Adoption & Enablement

Drive enterprise adoption through leadership education, community engagement, “art of the possible” sessions, and use-case discovery
Build, empower, and harmonize multidisciplinary teams across data science, engineering, product, risk, legal, compliance, and business functions
Create a culture of innovation, experimentation, accountability, reuse, and continuous learning

Basic Qualifications

Executive-level leadership experience in AI, advanced analytics, emerging technology, or enterprise-scale digital transformation
Proven track record delivering enterprise technology solutions with measurable business impact
Deep understanding of the AI/ML lifecycle, data ecosystems, model development, and production deployment models
Strong knowledge of Responsible AI, model risk, governance, privacy, security, and regulatory expectations in financial services
Ability to operate across complex, matrixed organizations and influence senior executives, business leaders, risk partners, and technology teams
Advanced degree or equivalent experience in computer science, AI/ML, engineering, analytics, business, or a related field

Preferred Skills And Experiences

Experience leading applied AI teams in financial services or another highly regulated industry.
Demonstrated success building and scaling centralized AI delivery functions, such as an AI CoE or equivalent capability
Hands-on AI/ML experience, including familiarity with modern model architectures, generative AI, and agentic AI patterns
Established industry thought leadership, research, patent, academic, or ecosystem partnership experience
Experience managing large, cross-functional teams across business, technology, and risk disciplines

Location

The role requires working onsite at a U.S. Bank office location three (3) or more days per week

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

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 ho