AI Product Lead - Insurance Underwriting & Claims (Hybrid)

Zenith Infotek LLC.; Alabama; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Zenith Infotek LLC in Warren, NJ/ NYC area seeks an AI Product Manager to lead AI-driven insurance solutions across underwriting and claims. The role bridges business and technology, translating stakeholder needs into roadmaps, PRDs, epics, and AI-ready roadmaps.

The ideal candidate combines business analysis, technical acumen, and domain knowledge in insurance operations, with Agile delivery and strong stakeholder management across data science and engineering teams.

Qualifications

• Bachelor’s degree in Business, Technology, Data Science, or 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.

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.

Skills

Product ownership

Business analysis

AI/ML concepts

Agile methods

Stakeholder mgmt

Requirements gathering

Process mapping

JIRA/Confluence

Cross-functional

Technical liaison

Education

Bachelor's degree in business/tech/data science

MBA preferred

Tools

JIRA

Confluence

Visio

Lucidchart

Job description

Title: AI Product Manager with P&C Insurance

Location: Warren, NJ or NYC, NY– Hybrid 02 days per week from day 1

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

Role Overview

AI Product Manager to lead the development and delivery of AI-driven solutions across key business areas, including Underwriting and Claims. This role will serve as a bridge between business and technology, ensuring that AI use cases are aligned with enterprise strategy and provide measurable business value. The ideal candidate combines strong business analysis skills, technical expertise, and deep domain knowledge in insurance operations.

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.