AI Insights & Enablement Lead

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.

U.S. Bank is seeking an AI Insights & Enablement Lead to join the Artificial Intelligence Center of Excellence (AI CoE), a high-impact team responsible for accelerating the adoption of artificial intelligence across the enterprise.   This role is ideal for a highly technical and hands-on AI Data Scientist who thrives at the intersection of innovation, experimentation, and implementation. The successful candidate will identify opportunities to leverage emerging AI technologies, rapidly develop and test solutions, and help scale successful capabilities into enterprise-ready products and processes.   As a senior member of the AI CoE, you will work across the full AI development lifecycle, from translating business challenges into AI use cases through model development, experimentation, deployment, and performance optimization. You will collaborate closely with product, engineering, risk, and business teams to deliver AI solutions that drive measurable business outcomes while ensuring compliance with responsible AI, security, and governance standards.   The ideal candidate combines deep expertise in machine learning, generative AI, and advanced analytics with the practical ability to build, deploy, and scale solutions in a highly regulated environment. This individual remains at the forefront of emerging AI advancements and continuously evaluates new technologies to enhance U.S. Bank's AI capabilities.

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or another quantitative discipline, or equivalent work experience. Eight or more years of relevant experience in data science, machine learning, artificial intelligence, advanced analytics, or related technical disciplines.

Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline preferred. 8+ years of experience in data science, machine learning, artificial intelligence, or advanced analytics. Deep expertise in machine learning, deep learning, statistical modeling, and AI solution development. Hands-on experience designing and deploying production AI and machine learning solutions. Strong experience with generative AI technologies, including LLMs, RAG architectures, prompt engineering, model evaluation, and fine-tuning methodologies. Experience developing AI agent solutions, orchestration frameworks, and intelligent automation capabilities. Proficiency in Python and modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, TensorFlow, or equivalent technologies. Experience with cloud-based AI and machine learning platforms. Demonstrated success translating AI concepts into scalable business solutions that deliver measurable outcomes. Experience working within highly regulated environments such as financial services, healthcare, insurance, or telecommunications. Strong communication, stakeholder management, and executive presentation skills, with the ability to explain complex technical concepts to diverse audiences.

AI Solution Development & Applied Data Science Design, develop, and deploy machine learning and artificial intelligence solutions that address complex business challenges across the enterprise. Lead the end-to-end data science lifecycle, including data