AI Product Owner for Claims & Operations

Sedgwick; Milwaukee (WI); On-site; USD 110,000 - 160,000; Full time

Job summary

Sedgwick is seeking an experienced Product Manager/Owner - AI to own end-to-end AI initiatives for a specific Line of Business or claims domain. You’ll work with stakeholders to define AI-enabled improvements in claims operations, cost control, and client service, and translate objectives into sprint-ready plans.

Role blends strategic initiative shaping with hands-on backlog ownership and daily collaboration with AI engineers and data scientists to deliver practical, compliant, measurable

Qualifications

• 6-10 years of 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 stakeholder communication skills across business and technical audiences.

Responsibilities

• Own end-to-end AI initiatives for a Line of Business or claims domain.
• Partner with business stakeholders to define AI-enabled improvements to operations and client service.
• Translate objectives into structured, sprint-ready execution plans.
• Collaborate with AI engineers and data scientists to validate feasibility and impact.
• Maintain and refine the product backlog with prioritized epics and features.
• Monitor adoption and metrics after deployment to adjust priorities.

Skills

Product Management

Insurance experience

Agile delivery

Backlog management

Stakeholder communication

Requirements translation

Job description

Sedgwick is seeking an experienced Product Manager/Owner - AI to own end-to-end AI initiatives for a specific Line of Business or claims domain. You’ll work with stakeholders to define AI-enabled improvements in claims operations, cost control, and client service, and translate objectives into sprint-ready plans.

Role blends strategic initiative shaping with hands-on backlog ownership and daily collaboration with AI engineers and data scientists to deliver practical, compliant, measurable