✦ Luna Orbit — AI & Machine Learning

Vice President, AI Product Owner

at Bank of New York Mellon

📍 New York, NY, United States Unknown 💰 $175K – $175K USD / year Posted April 16, 2026
Salary $175K – $175K USD / year
Type Full-Time
Experience executive
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

BNY is seeking a Vice President, AI Product Owner to lead AI product strategy and roadmap for its Credit Services team. The role will drive end-to-end product lifecycle management, partner cross-functionally to deliver AI-enabled solutions, and measure outcomes using KPIs/OKRs while ensuring governance and compliance.

  • Define, lead, and continuously refine AI product strategy and roadmap for Credit Services
  • Drive end-to-end product lifecycle management from discovery and requirements to delivery, scaling, and iteration
  • Partner with Engineering, Credit Risk, and Operations to translate business problems into AI-enabled solutions
  • Establish and track product KPIs/OKRs to demonstrate value
  • Ensure robust risk management and governance across the AI product lifecycle

The technical scope centers on AI product planning and lifecycle execution, including feasibility validation, acceptance criteria, scaling, and iterative improvement. The role also involves establishing AI adoption enablement and implementing governance and regulatory alignment across model/solution risk.

The ideal candidate is an executive-level product management leader who has owned AI product strategy and roadmap end-to-end, from discovery and requirements through delivery, scaling, and iteration. They partner effectively with engineering, risk, and operations to turn business problems into measurable AI-enabled outcomes while ensuring AI governance and regulatory compliance.

Defineleadand continuously refine the AI product strategy and roadmap for Credit ServicesDrive end-to-end product lifecycle management from discovery and requirements to deliveryscalingand iterationPartner with EngineeringCredit Riskand Operations to translate business problems into AI-enabled solutionsEstablish and track product KPIs/OKRsEnsure robust risk management and governance across the AI product lifecycle
AI product strategyAI product roadmapproduct lifecycle managementdiscoveryrequirementsdeliveryscalingiterationAI adoptionenablement materialsprocess change planstrainingproduct KPIsOKRsdata qualityrisk managementAI governanceregulatory and policy requirementsacceptance criteriacross-functional collaborationstakeholder management
AI product strategyAI product roadmapproduct lifecycle managementrequirements to deliveryscaling and iterationcross-functional squad delivery orchestrationend-to-end product lifecycle managementproduct KPIsOKRsefficiency gainscycle-time reductionsadoption/usage trackingdata quality measurementrisk outcomes measurementAI adoption enablement materials developmentprocess change planstraining developmentrisk managementAI governanceregulatory and policy compliancemodel/solution risk coordinationacceptance criteria definitionfeasibility validationAI-enabled solutions translationstakeholder needs alignmentplatform priorities alignment
leadershipownershipcross-functional collaborationclient obsessioncommunicationproblem-solvingstakeholder managementcontinuous improvementcuriosityability to deliver measurable outcomes
Industry Banking
Job Function Lead and execute AI product strategy for Credit Services, delivering measurable outcomes with robust governance and compliance
Role Subtype Product Owner
Tech Domains AI & Machine Learning
Vice PresidentAI Product OwnerAI product strategyAI product roadmapproduct lifecycle managementdiscoveryrequirementsdeliveryscalingiterationAI adoptionenablement materialsprocess change planstrainingproduct KPIsOKRsdata qualityrisk managementAI governanceregulatory and policy requirementsacceptance criteriaCredit ServicesCredit RiskOperations

Must be able to lead AI product strategy and roadmap for Credit Services, Must have experience with AI governance and ensuring compliance with regulatory and policy requirements, Must be able to drive end-to-end product lifecycle management from discovery and requirements to delivery and scaling

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