AI Product Owner

Job Description

AI Product Owner

Must Have Technical/Functional Skills

Deep insurance domain expertise - strong understanding of insurance business processes, regulatory requirements, underwriting workflows, claims lifecycle, policy administration, reinsurance operations, and insurance data models.

Strong Product Ownership capabilities including backlog management, user story writing, sprint planning, acceptance criteria definition, release planning, and roadmap prioritization.

Ability to define and communicate product vision, business value, and feature priorities aligned with AI Platform strategic objectives.

Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms - understanding of AI capabilities, limitations, and applicability within insurance use cases.

Strong analytical, problem-solving, and critical thinking skills - ability to translate complex insurance business problems into clear, actionable AI platform requirements.

Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems.

Strong collaboration, stakeholder management, facilitation, and communication skills across business, technology, and executive leadership audiences.

Familiarity with insurance regulatory compliance, data privacy, audit, and risk management requirements.

MBA or advanced degree, CSPO or similar certifications

Responsibilities

Serve as the Product Owner for one or more workstreams within the AI Agentic Platform, representing business needs and ensuring delivery of high-value platform capabilities aligned with insurance operations.

Own, prioritize, and maintain the product backlog - defining epics, user stories, acceptance criteria, and feature specifications that reflect deep insurance domain knowledge and Agentic AI platform requirements.

Translate business requirements - spanning underwriting, claims, policy administration, reinsurance, and actuarial functions - into clear, actionable platform features and AI agent use cases.

Partner closely with Enterprise Architects, Solution Architects, AI/ML Leads, Engineering Teams, and Business SMEs to ensure technical solutions align with insurance business objectives and regulatory requirements.

Drive sprint planning, backlog grooming, story refinement, sprint reviews, and retrospectives in collaboration with Agile delivery teams.

Define, monitor, and report on product KPIs, business value metrics, and platform adoption outcomes across insurance business units.

Work with business stakeholders to identify, prioritize, and validate Agentic AI use cases - ensuring alignment with business priorities, feasibility assessments, compliance requirements, and technology capabilities.

Support UAT (User Acceptance Testing) planning, validation activities, defect triage, and stakeholder sign-off for platform releases.

Facilitate stakeholder workshops, requirements sessions, and demos to gather insurance business input, validate platform capabilities, and drive adoption readiness.

Maintain product roadmap alignment with program delivery timelines, business release schedules, and Agentic AI platform evolution strategy.

Ensure all platform features comply with enterprise governance, security, audit, regulatory, and risk management frameworks applicable within the insurance industry

Support organizational change management, training readiness, and business adoption initiatives to drive successful deployment and sustained use of Agentic AI capabilities across insurance operations.