Senior AI Product Manager

U.S. Bank

HybridPosted 26 июля 2026 г.

About the role

U.S. Bank is seeking a Senior AI Product Manager (Archetype Lead) to lead a core AI archetype, 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 regulated environment, and aggressively identifying reuse opportunities to scale trusted AI capabilities across the enterprise. The Senior AI Product Manager will partner closely with Technology and Risk to ensure compliant-by-design solutions and to drive adoption across the organization. The role combines strategic vision with hands-on execution to deliver measurable business value from AI initiatives.

Senior AI Product Manager

U.S. Bank

HybridPosted 26 июля 2026 г.

About the role

U.S. Bank is seeking a Senior AI Product Manager (Archetype Lead) to lead a core AI archetype, 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 regulated environment, and aggressively identifying reuse opportunities to scale trusted AI capabilities across the enterprise. The Senior AI Product Manager will partner closely with Technology and Risk to ensure compliant-by-design solutions and to drive adoption across the organization. The role combines strategic vision with hands-on execution to deliver measurable business value from AI initiatives.

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 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, P

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