
Senior AI Product Manager
U.S. Bank
full-time
Posted on:
Location Type: Hybrid
Location: Chicago • Illinois • Minnesota • United States
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Salary
💰 $159,970 - $188,200 per year
Job Level
About the role
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 tradeoffs between innovation, risk, and time-to-value.
- 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.
- 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.
- 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.
- 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
Requirements
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI product strategyagile product developmentsolution architectureMVP definitionsrisk managementdata analysisvalue realization metricsproduct-market fitdigital transformationtechnical fluency
Soft Skills
leadershipcommunicationcollaborationstrategic thinkingprioritizationproblem-solvingadaptabilitystakeholder engagementcontinuous improvementnarrative translation