Senior AI Product Manager

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 Digital Overview At U.S. Bank, the Digital team is responsible for setting and executing our enterprise-wide digital strategy. We drive incremental growth, increased engagement, loyalty, and retention by delivering excellent experiences. We digitize and automate banking wherever possible, enabling customers to complete tasks on their own when they wish, and pair that with physical branches for when they want help. The Digital team works to empower our customers to make decisions with data and advanced analytics, so they can bank when, where, and how they want, with insights that help them manage their money. Role Summary Senior AI Product Manager (Archetype Lead): The Senior AI Product Manager will lead one of the bank’s core AI archetypes, owning a portfolio of AI use cases from discovery through production and value realization. This role is accountable for defining the AI product strategy, driving delivery in a highly regulated environment, partnering closely with Technology and Risk, and aggressively identifying reuse opportunities to scale trusted AI capabilities across the enterprise. Skills, Experience & Responsibilities Product P&L Enable business line value creation by explicitly connecting AI product objectives, key results, and roadmaps to business outcomes including cost savings, revenue growth, productivity gains, and risk reduction. Balance near‑term delivery with longer‑term platform and capability investments to maximize return on AI investments. Product Strategy, Vision, and Planning Leverage business priorities, customer problems, and enterprise AI strategy to define a clear vision for the AI archetype. Define multi‑year AI product strategy including target use cases, users, value hypotheses, technical capabilities, and build vs. buy decisions. Align AI product vision across Technology, Risk, Data, and Business partners to establish an integrated, executable roadmap. Continuously re‑evaluate priorities to optimize capacity against business value, delivery risk, and reuse potential. Digital Products, Platforms & AI Capabilities Integrate AI products and platforms into existing digital and operational experiences to drive measurable business value. Advocate for reusable AI capabilities (patterns, components, guardrails, evaluation approaches) to enable scale, speed to market, and consistent risk posture. Evaluate vendor and platform options for AI capabilities, making informed recommendations on build vs. buy. Product Build & Development Drive AI product development through the agile lifecycle, from discovery to pilot to production. Actively engage the quad (Product, Design, Agile, Engineering) to execute strategy and continuously improve delivery effectiveness. Ensure iterative development with clear MVP definitions, success metrics, and learning loops. Partner closely with technical teams to shape solution architecture with an emphasis on reuse, reliability, performance, and operational readiness. Risk, Governance & Regulated Execution Partner with Risk, Compliance, and Governance teams to ensure AI solutions are compliant‑by‑design and meet all enterprise risk requirements. Incorporate risk, control, and approval processes into delivery plans without sacrificing speed or clarity of ownership. Serve as a product leader who can navigate and explain trade‑offs between innovation, risk, and time‑to‑value. Adoption Validate AI solutions through adoption, usage, and value realization metrics. Identify drop‑offs, risks, and optimization opportunities post‑launch; drive continuous improvement to increase adoption and sustained impact. Customer & Stakeholder Insight Partner with cross‑functional teams to establish product‑market fit using research, discovery workshops, product charters, and journey mapping. Translate highly technical AI concepts into clear, outcome‑focused narratives for senior stakeholders. Go‑To‑Market & Change Enablement Collaborate with communications, training, operations, and business partners to support successful rollout and adoption of AI capabilities. Ensure clear positioning, enablement, and readiness for both digital and human‑assisted use of AI solutions. Performance Measurement & Optimization Define north‑star and supporting metrics that connect AI product performance to customer and business value. Use leading indicators and outcomes to guide prioritization, improve execution, and focus teams on highest‑value work. Preferred Experience Senior individual contributor with experience leading medium‑to‑high complexity digital, platform, data, or AI products. Strong technical fluency and comfort working closely with engineering and data science teams. Experience operating in regulated environments with risk, compliance, or control requirements. Demonstrated ability to size opportunities, prioritize investments, and deliver measurable business outcomes. Typically 7–10+ years of product management or closely related experience. Hybrid/flexible schedule, with an in‑office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. Benefits 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 U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E‑Verify U.S. Bank participates in the U.S. Department of Homeland Security E‑Verify program in all facilities located in the United States and certain U.S. territories. 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: $159,970.00 – $188,200.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. #J-18808-Ljbffr