AI Product Manager with P&C Insurance

Title: AI Product Manager with P&C Insurance

Location: Warren, NJ or NYC, NY– Hybrid 03 days per week from day 1

Interview: Final round would be Face to Face at Client location

Duration: Long Term

Only local profiles

Key Responsibilities:

• Own the end-to-end lifecycle of AI products, including vision, roadmap, and use cases, from ideation through implementation and scaling.
• Translate business, clinical, operational, and research stakeholder needs into product roadmaps, technical solutions, PRDs, epics, user stories, KPIs, release plans, and adoption strategies.
• Lead cross-functional teams—including developers, integration engineers, analysts, architects, QA/UAT teams, vendors, and other partners—through ambiguity, competing priorities, and complex enterprise environments.
• Develop clear product requirements, user stories, and acceptance criteria based on business needs.
• Create and maintain product roadmaps aligned with enterprise strategic priorities.
• Prioritize backlogs and plan sprints collaboratively with data science, engineering, and delivery teams.
• Map processes in detail and identify opportunities for optimization via AI and automation.
• Ensure successful implementation and adoption of AI solutions, including change management and stakeholder communication.
• Monitor product performance, define KPIs, and drive continuous improvement based on insights and feedback.
• Collaborate closely with technical teams to ensure feasibility, scalability, and seamless integration with existing systems.
• Support and enhance enterprise AI platforms by aligning use cases and capabilities with business needs.

Required Qualifications & Skills

• Bachelor’s degree in Business, Technology, Data Science, or a related field; MBA preferred.
• 8+ years of experience in Product Ownership, Business Analysis, or related roles.
• Proven experience in implementing AI/ML or advanced analytics use cases within a business environment.
• Excellent business analysis skills, including requirements gathering, process mapping, and documentation.
• Strong understanding of Agile methodologies (Scrum, Kanban) and product management best practices.
• Technical acumen with the ability to work closely with data scientists and engineers (familiarity with AI/ML concepts, data pipelines, APIs, etc.).
• Experience with tools such as JIRA, Confluence, and process mapping tools (e.g., Visio, Lucidchart).
• Strong analytical thinking and problem-solving abilities.
• Excellent communication and stakeholder management skills, with the ability to influence at all organizational levels.

Preferred Qualifications

• Experience working with enterprise AI platforms or copilots.
• Familiarity with data governance, model risk management, and regulatory considerations in insurance.
• Experience leading digital transformation initiatives within the insurance industry.