AI Product Owner

Ztek Consulting INC; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Ztek Consulting INC is seeking an AI Product Owner with deep insurance domain expertise to drive the Agentic AI platform. You will own backlogs, write user stories, and collaborate with architects, AI leads, and business SMEs to deliver high-value platform capabilities across underwriting, claims, and policy administration.

You will translate complex insurance requirements into actionable AI features, define KPIs, and ensure compliance with governance and regulatory standards while fostering

Qualifications

• Deep insurance domain expertise across processes, underwriting, claims, and policy administration.
• Proven backlog management, user story writing, sprint planning, and release planning.
• Ability to define product vision and prioritize features with AI platform alignment.
• Experience with AI/GenAI/LLM or intelligent automation in insurance use cases.
• Strong analytical, problem-solving, and critical thinking skills.
• Experience with enterprise data models, APIs, cloud platforms, and modern insurance tech ecosystems.
• Excellent stakeholder management and cross-functional communication.
• Familiarity with regulatory compliance, data privacy, audit, and risk management.
• MBA or advanced degree, CSPO or equivalent certification.

Responsibilities

• Serve as Product Owner for AI Agentic Platform workstreams with insurance focus.
• Own and prioritize the product backlog, epics, and user stories reflecting domain knowledge.
• Translate underwriting, claims, policy administration, and reinsurance needs into features.
• Collaborate with Architects, AI leads, engineering, and business SMEs to align solutions.
• Lead sprint planning, grooming, and reviews with Agile delivery teams.
• Define and monitor product KPIs, business value, and platform adoption.
• Identify and validate AI use cases with stakeholders, ensuring feasibility and compliance.
• Support UAT planning, validation, defect triage, and releases.
• Facilitate workshops, requirements sessions, and demos for adoption readiness.
• Maintain roadmap alignment with program timelines and platform evolution.
• Ensure features comply with governance, security, audit, and risk frameworks.
• Support change management, training readiness, and adoption initiatives.

Skills

Backlog management

User stories

Sprint planning

Feature prioritization

Stakeholder management

Product vision communication

AI platform requirements

Analytical thinking

Cross-functional collaboration

Education

MBA or advanced degree

CSPO or similar certification

Tools

AWS

Azure

GCP

APIs

Enterprise data models

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.