AVP, AI Product Owner

Everest; New Jersey; On-site; USD 152,000 - 202,000; Full time

Benefits offered by this job

Health insurance

Employee wellness program

401(k) match

Paid time off (PTO)

Job summary

Everest is seeking an experienced AVP, AI Product Owner to lead the development and delivery of AI solutions across business areas, mainly Underwriting and Claims. The ideal candidate will bridge business and technology, ensuring that AI initiatives align with business strategy.

Key responsibilities include managing the AI product lifecycle, collaborating with stakeholders, and translating business needs into clear product requirements. A strong understanding of insurance operations and at least 6 years of experience in related roles is essential.

Qualifications

• 6+ years of experience in Product Ownership or Business Analysis.
• Strong domain knowledge of Underwriting and Claims in insurance.
• Actionable experience in implementing AI/ML use cases.

Responsibilities

• Own the lifecycle of AI products from ideation through implementation.
• Partner with stakeholders to identify high-impact AI opportunities.
• Translate business needs into product requirements and user stories.
• Lead backlog prioritization and sprint planning.
• Monitor product performance and drive continuous improvement.

Skills

Product Ownership

Business Analysis

Agile methodologies

Insurance operations knowledge

Technical acumen

Analytical thinking

Communication skills

Education

Bachelor’s degree in Business, Technology, Data Science, or related field

Tools

JIRA

Confluence

Visio

Lucidchart

Job description

Role Overview

Everest is seeking an experienced AVP, AI Product Owner to lead the development and delivery of AI‑driven solutions across key business areas, including Underwriting and Claims. This role bridges 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.

Key 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.

Required Qualifications & Skills

• Bachelor’s degree in Business, Technology, Data Science, or a related field (MBA preferred).
• 6+ 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.

Preferred Qualifications

• 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.

Salary and Benefits

Base salary range: $152,000 - $202,000 annually. Compensation is based on education, experience, qualifications and work location.

Benefits include health insurance coverage, an employee wellness program, life and disability insurance, 401(k) match, retirement savings plan, paid holidays, and paid time off (PTO).

Location

Primary location: Warren, NJ. Additional location: New York, NY.

Equal Opportunity Employment

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations.