Head of AI Delivery
$214,795–$252,700 year
On-siteChicago, Illinois, United States or Minneapolis, Minnesota, United States
Job Summary
Lead the design, development, and deployment of high-impact AI solutions across business lines, driving rapid experimentation and converting innovations into enterprise-scale production capabilities. Own delivery of measurable outcomes including revenue growth, cost optimization, and risk reduction while maintaining strong regulatory, ethical, and Responsible AI practices. Coordinate delivery across the AI CoE, technology, risk, and business partners to industrialize delivery models and establish reusable platforms. Serve as a senior advisor ensuring alignment to enterprise strategy, advancing research and intellectual property, and driving enterprise adoption through leadership education and community engagement. Manage multidisciplinary teams spanning data science, engineering, product, risk, and compliance to embed governance into the full AI lifecycle.
Required 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
- Working onsite at a U.S. Bank office location three (3) or more days per week
Desired Qualifications
- 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
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