Description

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).
• 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.

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.

Key Skills

Education

Bachelor's degree