AI Product Manager

U.S. Bank

AI Product Manager at U.S. Bank responsible for defining and delivering AI products.

Posted 7/4/2026full-timeChicago • Illinois, Minnesota • 🇺🇸 United StatesMid-LevelSenior💰 $124,355 - $146,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Digital Product Management, focusing on AI capabilities and platform enhancements. Proficient in defining product vision, success metrics, and driving adoption through data-driven strategies and agile methodologies.

Highest-signal resume keywords

Digital Product Management ExperienceAI Product Strategy DevelopmentKPI and OKR MeasurementAgile Delivery MethodologiesRisk Management and Compliance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AIMachine LearningGenerative AIProduct Lifecycle ManagementPlatform ArchitectureAPIsProduct MetricsOperational MetricsUser Adoption MetricsSoftware Development

Soft Skills

Analytical SkillsCommunication SkillsStakeholder ManagementProblem-Solving Skills

Tools & Technologies

Model ManagementOrchestrationMonitoringEvaluationGovernanceObservability

Industry Keywords

GovernanceComplianceRisk ManagementBusiness OutcomesUser Needs

About the role

Key responsibilities & impact

Ensure a data-driven approach to prioritize the highest-value AI capabilities, platform enhancements, and user needs.
Drive adoption, usability, and operational effectiveness of AI products and platforms through continuous measurement and optimization.
Advocate for reusable AI capabilities, patterns, and platform services that enable enterprise scale, speed to market, and consistent governance.
Leverage market trends, emerging AI capabilities, user feedback, and business priorities to define and evolve AI product strategy.
Define product vision, success metrics, and roadmaps for AI platforms, tools, and capabilities.
Align AI product priorities across Technology, Data, Risk, Security, and business stakeholders to establish an integrated delivery roadmap.
Regularly reevaluate priorities to optimize capacity against business value, user outcomes, risk considerations, and platform health.
Leverage OKRs (Objectives and Key Results) and product metrics to guide roadmap decisions and investment priorities.
Drive the integration of AI platforms and capabilities into business workflows and experiences to maximize adoption and value realization.
Promote platform modernization, observability, monitoring, governance, and operational excellence practices that improve reliability, transparency, and performance.
Drive product delivery through the agile lifecycle, from discovery and experimentation through implementation and continuous improvement.
Leverage product discovery techniques to validate customer needs, identify opportunities, and prioritize the most impactful solutions.
Partner with cross-functional teams to establish product-market fit through research, journey mapping, prototyping, product chartering, and stakeholder engagement.
Define north-star and supporting metrics that connect platform performance, user adoption, and business outcomes.
Continuously measure results against targets and identify opportunities to improve adoption, operational effectiveness, and value delivery.
Use product metrics, platform telemetry, and user feedback to optimize execution and ensure teams remain focused on the highest-value work.

Requirements

What you’ll need

Digital Product Management experience
Experience managing technology, platform, data, AI, or digital products through the product lifecycle.
Strong understanding of AI, machine learning, generative AI, or emerging technology concepts and their business applications.
Ability to balance user needs, business value, technical feasibility, risk considerations, and operational requirements.
Experience defining and measuring product success through KPIs, OKRs, adoption metrics, operational metrics, and business outcomes.
Knowledge of software development, platform architecture, APIs, integrations, and agile delivery methodologies.
Familiarity with AI platform capabilities such as model management, orchestration, monitoring, evaluation, governance, guardrails, and observability.
Knowledge of risk management, governance, compliance, and controls in a regulated environment.
Strong analytical, communication, stakeholder management, and problem-solving skills.
Ability to translate complex technical concepts into clear business outcomes and product decisions.

Benefits

Comp & perks

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