Job DescriptionHead of AI SolutionsThis 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.
SummaryThe 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 ResponsibilitiesAI 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
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 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $214,795.00 - $252,700.00
Posting may be closed earlier due to high volume of applicants. 
