AI Product Owner

Everest•Warren Township, NJ

19h•$152,000 - $202,000•Hybrid

About The Position

Everest is seeking an experienced AI Product Owner to lead the development and delivery of AI-driven solutions across key business areas, including Underwriting and Claims. This role will bridge business and technology, ensuring that AI use cases are aligned with enterprise strategy and deliver measurable business value. The ideal candidate combines strong business analysis capabilities with technical acumen and deep domain knowledge in insurance operations.

Requirements

Bachelor’s degree in Business, Technology, Data Science, or a related field (MBA preferred).
5+ years of experience in Product Ownership, Business Analysis, or related roles.
Strong domain knowledge of insurance operations, particularly Underwriting and Claims.
Proven experience in implementing AI/ML or advanced analytics use cases in a business environment.
Excellent business analysis skills, including requirements gathering, process mapping, and documentation.
Strong understanding of Agile methodologies (Scrum, Kanban) and product management 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 skills.
Excellent communication and stakeholder management skills, with the ability to influence across all levels of the organization.

Nice To Haves

Experience working with enterprise AI platforms or copilots (e.g., EverAssist or similar tools).
Familiarity with data governance, model risk management, and regulatory considerations in insurance.
Experience driving digital transformation initiatives in the insurance industry.

Responsibilities

Own the end-to-end lifecycle of AI products and use cases, from ideation through implementation and scaling.
Partner with business stakeholders across Underwriting, Claims, and other functions to identify, prioritize, and define high-impact AI opportunities.
Translate business needs into clear product requirements, user stories, and acceptance criteria.
Develop and maintain product roadmaps aligned with enterprise strategic priorities.
Lead backlog prioritization and sprint planning in collaboration with data science, engineering, and delivery teams.
Create detailed process maps and identify opportunities for optimization through 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 integration with existing systems.
Support and enhance enterprise AI platforms (e.g., EverAssist) by aligning use cases and capabilities with business needs.