Product Owner

Roles & Responsibilities

• Own and manage the Product Backlog, ensuring alignment with business goals and strategic priorities.
• Define and maintain product roadmaps, release plans, and sprint objectives.
• Lead backlog refinement, story grooming, sprint planning, sprint reviews, and other Agile ceremonies.
• Collaborate with stakeholders to identify business needs and prioritize product enhancements.
• Partner with Scrum Masters and development teams to ensure successful sprint execution.
• Elicit, analyze, and document business requirements from stakeholders.
• Translate business requirements into solution requirements and actionable development tasks.
• Create and manage: Epics, Features, User Stories, Acceptance Criteria, Business Process Flows, Functional Specifications.
• Clearly communicate business context and expected outcomes to development and QA teams.
• Facilitate workshops, process discussions, and requirement review sessions.
• Utilize Targetprocess extensively for: Product backlog management, Epic and feature creation, User story definition, Release planning, Capacity planning, Agile reporting and tracking.
• Ensure traceability from business objectives through delivery and deployment.
• Lead story estimation exercises using: T-Shirt Sizing, Story Points, Relative Estimation Techniques.
• Support sprint forecasting, dependency management, and release planning.
• Identify product risks, impediments, and mitigation strategies.

Insurance Domain Responsibilities

• Work closely with business and technology teams across: Policy Administration, Claims Management, Underwriting, Billing & Payments, Customer Experience, Agency/Broker Operations.
• Drive modernization and digital transformation initiatives within insurance platforms.
• Ensure regulatory, compliance, and operational requirements are appropriately addressed.

GenAI & Agentic AI Responsibilities

• Collaborate with business and technology teams to identify opportunities for Generative AI solutions across insurance operations.
• Understand foundational GenAI concepts including: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, AI-assisted workflow automation, AI-driven customer service and claims support.
• Participate in defining business use cases leveraging AI technologies.
• Work with solution architects and AI teams to translate AI opportunities into product features and backlog items.
• Demonstrate understanding of Agentic AI concepts, including: Autonomous AI agents, Multi-agent workflows, Goal-based task execution, Human-in-the-loop decision frameworks, AI orchestration and workflow automation.
• Evaluate business value, risks, governance, and compliance considerations associated with AI-enabled solutions.

Qualifications

• BACHELOR OF COMPUTER SCIENCE

Pay

Salary Range: $110,000 to $125,000 per year