AI Product Owner - Exempt

Remote

Job Description

AI Product Strategy Lead – Credit Services

Position Overview

Responsible for leading the development and execution of AI product strategy and capability development within Credit Services. Focuses on delivering innovative AI solutions, accelerating AI adoption to improve productivity and efficiency, and reducing manual processes through intelligent automation. Aligns with the firm’s strategic pillars and principles.

As an Individual Contributor, partners closely with Engineering, Credit Risk, and Operations to ensure AI products deliver measurable outcomes, are responsibly governed, and meet stakeholder needs.

Development Tools

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.

Additional Information

• Duration: 6+ month contract to hire opportunity
• Hybrid Work Model: 4 days onsite required weekly in NYC office
• Rate Range: $60–65/hr. W2