Product Manager / Product Owner – AI

Nesco Resource is seeking a Product Manager / Product Owner – AI to lead end-to-end AI initiatives in a claims-focused business domain. The role involves partnering with business stakeholders to identify operational improvements and translating them into actionable work for AI engineers and data scientists.

Responsibilities:

• Partner with claims leaders, operational managers, and transformation stakeholders to identify workflow bottlenecks, leakage drivers, customer friction points, and compliance risks
• Define AI use cases tied to measurable outcomes such as claim cycle time reduction, improved reserving accuracy, stronger fraud detection, and faster document processing
• Translate business needs into epics, features, user stories, and detailed acceptance criteria
• Own and prioritize the product backlog based on business value, delivery constraints, and operational impact
• Collaborate with AI engineers and data scientists to validate feasibility, data readiness, and downstream workflow impact
• Support sprint execution by clarifying claims process requirements, regulatory considerations, and client-specific variations
• Communicate progress, risks, and trade-offs to stakeholders across business and technical teams
• Monitor adoption, performance metrics, and user feedback after deployment and adjust priorities accordingly

Requirements:

• Bachelor's degree in information management, computer science, or related technology field from an accredited college or university
• 6–10 years of experience in Product Management or Business-Technology roles within insurance, claims, or managed services
• Strong understanding of claims operations, adjuster workflows, or insurance servicing models
• Experience working in Agile delivery environments
• Ability to translate operational pain points into structured technical requirements
• Strong communication and stakeholder management skills across business and technical audiences
• Experience working with engineering and data-focused teams in delivery environments
• Experience supporting AI-enabled process improvement initiatives
• Background in claims workflow optimization, fraud detection, reserving, or document processing
• Familiarity with compliance and regulatory considerations in claims operations
• Experience measuring adoption and operational impact after deployment