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 highl