AI Product Owner - Exempt

Key Responsibilities

• Define, lead, and refine the AI product strategy and roadmap for Credit Services, prioritizing high-value use cases to improve decision quality, reduce manual work, and enhance client and colleague experiences.
• Drive end-to-end product lifecycle management—from discovery and requirements to delivery, scaling, and iteration—ensuring measurable, compliant outcomes aligned to platform priorities.
• Partner with Engineering, Credit Risk, and Operations to translate business problems into AI-enabled solutions; validate feasibility, define acceptance criteria, and orchestrate delivery through cross-functional squads.
• Establish and track product KPIs/OKRs (e.g., efficiency gains, cycle-time reductions, adoption/usage, data quality, risk outcomes) to demonstrate value and inform investment decisions.
• Champion AI adoption by developing enablement materials, process change plans, and training for safe, effective integration into daily workflows.
• Ensure robust risk management and governance across the AI product lifecycle, coordinating with internal partners to meet regulatory and policy requirements and uphold responsible AI practices.
• Maintain strong stakeholder engagement: gather feedback, manage intake and prioritization, and communicate roadmaps, delivery status, and outcomes clearly.
• Develop business cases and value narratives to secure alignment and resources; own the backlog and ensure transparency into trade-offs, timelines, and dependencies.

Qualifications

• Bachelor’s degree in Business, Finance, Engineering, or related field.
• 5–8 years of experience; must have experience in Financial Services.
• Must have experience working with engineering teams and focused on execution (not just strategy).
• Demonstrated ability to define product strategy and execute complex deliveries in cross-functional environments; strong backlog management, prioritization, and stakeholder management skills, preferably in Financial Services.
• Solid understanding of AI concepts and application patterns (e.g., machine learning, NLP/LLMs, predictive analytics, intelligent automation) and how they translate into business value and operational change.
• Familiarity with product lifecycle management, risk and control considerations, and governance in regulated environments; experience integrating compliance requirements into product design.
• Strong analytical and strategic thinking skills; adept at quantifying impact, setting outcome-oriented KPIs/OKRs, and using data to inform decisions.
• Excellent communication and interpersonal skills; able to engage technical and non-technical stakeholders, build consensus, and drive adoption.
• Experience partnering with Engineering, Risk, and Operations teams to deliver scalable, reliable solutions; comfort with agile practices and iterative delivery.