Director, AI Product Strategy & Platform

ITSMF; St. Louis (MO); On-site; USD 173,000 - 294,000; Full time

Benefits offered by this job

Medical and prescription drug coverage

Dental coverage

Vision coverage

Disability insurance (short/long-term)

Job summary

ITSMF is seeking a Director of AI Product Management to own the strategy, roadmap, and outcomes of enterprise AI products and reusable AI capabilities across domains. You will lead discovery, prioritize features, and drive measurable value with cross-functional teams, ensuring AI solutions are scalable, explainable, and aligned with responsible AI practices.

The role requires strong AI product leadership, collaboration with engineering, data, architecture, risk, and business groups, and the

Qualifications

• Bachelor’s degree in computer science, engineering, product management or related field.
• 7+ years’ experience in product management incl translating business needs into technical requirements and leading product discovery and validation.
• 3+ years’ experience in AI/ML.
• Strong understanding of AI technologies and financial services.
• Product operating model methodologies, including AI driven PDLC.
• AI technologies and their applications in business contexts.
• Metrics and frameworks for tracking product AI model and agent success and impact.
• Responsible AI practices and regulatory compliance requirements.
• UX principles and their integration into product AI capability design.

Responsibilities

• Translate the firm’s vision and AI strategies into product strategy, value proposition, outcomes, priorities, roadmap, and investment recommendations for assigned AI products and capability domains.
• Own product strategy for assigned domains, translating enterprise priorities and customer needs into scalable requirements, evaluation criteria, and prioritized work.
• Lead continuous discovery and test hypotheses through research, prototypes, experiments, evaluations, proofs of concept, and pilots.
• Use customer evidence, product data, technical findings, and business measures to guide prioritization, investment, scaling, optimization, and retirement decisions.
• Own the full product lifecycle from discovery and launch through adoption, operation, modernization, and retirement, remaining accountable for customer value, business outcomes, reuse, product health, risk, and value realization.
• Define the end-to-end product experience, including customers, use cases, AI behavior, data and knowledge needs, integrations, human oversight, controls, monitoring, support, and service expectations.
• Create reusable AI products with clear boundaries, consumers, interfaces, dependencies, supported uses, limitations, ownership, and operating expectations.
• Contribute to and apply interoperable patterns across models, agents, skills, knowledge assets, workflows, platforms, and governance capabilities while balancing local needs with enterprise scale and standardization.
• Apply deep AI product expertise and technical fluency to challenge assumptions, evaluate alternatives, identify dependencies, and make informed tradeoffs with engineering, data, architecture, cybersecurity, experience, and business teams.
• Recognize and manage AI limitations and risks, including unreliable outputs, bias, data leakage, inappropriate actions, security threats, model drift, and workflow failure.
• Own the success measures, and be accountable for results, across customer value, business outcomes, adoption, reuse, quality, reliability, cost, operational performance, scalability, and risk.
• Lead cross-functional teams toward measurable outcomes and communicate product health, risks, assumptions, dependencies, tradeoffs, and lessons learned to senior leaders and stakeholders.
• Own the product roadmap and be accountable for delivery against measurable outcomes, escalating and aligning with senior leaders on investment, tradeoff, and dependency decisions.
• Define launch, integration, enablement, documentation, change, support, monitoring, and adoption strategies, and resolve barriers to effective operation and scale.
• Embed responsible AI, privacy, security, legal, regulatory, accessibility, records, and model-risk requirements throughout the product lifecycle, with clear intended uses, limitations, controls, oversight, and escalation paths.
• Serve as a trusted advisor, coach and mentor Product Managers on the team, and contribute to reusable frameworks, standards, evaluation practices, and customer-centered ways of working while adopting and applying them across owned domains.

Skills

AI product mgmt

Regulatory compliance

Financial services

PDLC

Education

Bachelor’s degree in CS/engineering/PM or related field

Master’s degree in AI/PM or related field

Job description

ITSMF is seeking a Director of AI Product Management to own the strategy, roadmap, and outcomes of enterprise AI products and reusable AI capabilities across domains. You will lead discovery, prioritize features, and drive measurable value with cross-functional teams, ensuring AI solutions are scalable, explainable, and aligned with responsible AI practices.

The role requires strong AI product leadership, collaboration with engineering, data, architecture, risk, and business groups, and the