AI Product Engineer Hybrid

Job Summary: AI Product Owner (Insurance/AI Solutions)

- Lead the end-to-end lifecycle of AI products and use cases from ideation to scaling.
- Partner with business stakeholders (Underwriting, Claims, etc.) to identify 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 with data science, engineering, and delivery teams.
- Create detailed process maps; identify opportunities for optimization through AI and automation.
- Ensure successful implementation and adoption of AI solutions, including change management and stakeholder communications.
- Monitor product performance, define KPIs, and drive continuous improvement based on insights.
- Collaborate 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 with business needs.
- Utilize strong business analysis skills for requirements gathering, process mapping, and documentation.
- Apply Agile methodologies (Scrum, Kanban) and product management best practices.
- Use tools such as JIRA, Confluence, and process mapping tools (e.g., Visio, Lucidchart).
- Communicate and manage stakeholders effectively, influencing at all organizational levels.
- Leverage strong domain knowledge in insurance operations, especially Underwriting and Claims.
- Drive continuous improvement and digital transformation initiatives within the insurance sector.

Required Qualifications:

- Bachelor's degree in Business, Technology, Data Science, or related field (MBA preferred).
- 5+ years' experience in Product Ownership, Business Analysis, or related roles.
- Experience in implementing AI/ML or analytics use cases in a business environment.
- Strong technical acumen and ability to work with data scientists/engineers.
- Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:

- Experience with enterprise AI platforms or copilots (e.g., EverAssist).
- Familiarity with data governance, model risk management, and insurance regulations.
- Experience in digital transformation within the insurance industry.

Why Join Everest?

- Lead innovative AI initiatives in a global insurance organization.
- Work on high-impact projects transforming Underwriting, Claims, and core operations.
- Collaborate with cross-functional teams to shape Everest's AI future.