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Everest

AVP, AI Product Owner

Everest

AI Product Owner at Everest leading development of AI-driven solutions for Underwriting and Claims. Thriving in risk management with a focus on business value and technology alignment.

Posted 6/3/2026full-timeWarren • New Jersey, New York • 🇺🇸 United StatesLead💰 $152,000 - $202,000 per yearWebsite

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • health insurance coverage
  • employee wellness program
  • life and disability insurance
  • 401k match
  • retirement savings plan
  • paid holidays
  • paid time off (PTO)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI productsML use casesbusiness analysisrequirements gatheringprocess mappingAgile methodologiesproduct managementdata pipelinesAPIsKPI definition
Soft Skills
analytical thinkingproblem-solvingcommunicationstakeholder managementinfluencecollaborationchange managementprioritizationcontinuous improvementoptimization
Certifications
Bachelor’s degreeMBA