AVP, AI Product Owner

About the role

Everest is a global leader in risk management, committed to enabling businesses to thrive and economies to function. This role bridges business and technology to lead AI-driven solutions in Underwriting and Claims.

Responsibilities

• Own the end-to-end lifecycle of AI products and use cases, from ideation through implementation and scaling.
• Partner with business stakeholders to identify, prioritize, and define high-impact AI opportunities.
• 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 with technical teams to ensure feasibility, scalability, and integration with existing systems.
• Support and enhance enterprise AI platforms by aligning use cases and capabilities with business needs.

Requirements

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

Skills

• 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.

Pay

The base salary range for this position is $152,000 - $202,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location.

Schedule

This role is full-time and permanent.