Remote AI Product Manager for Claims & Ops

Sedgwick; Lincoln (NE); À distance; USD 110 000 - 165 000; Plein temps

Résumé du poste

Sedgwick is seeking an End-to-End AI Product Owner to own AI initiatives for a specific Line of Business or platform. You will partner with business stakeholders to define AI-enabled improvements to claims operations, cost control, and client service, and translate objectives into sprint-ready execution plans.

This role blends strategic initiative shaping with hands-on backlog ownership, daily collaboration with AI engineers and data scientists, and strong emphasis on delivering practical,

Qualifications

• 6–10 years of experience in Product Management or Business-Technology roles within insurance, claims, or managed services.
• Strong understanding of claims operations, adjustor 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.

Responsabilités

• Own end-to-end AI initiatives for a Line of Business or platform aligned with business goals.
• Translate AI use cases into clearly defined epics and features with measurable objectives.
• Collaborate with AI engineers and data scientists to validate feasibility and impact.
• Balance strategic initiative shaping with hands-on backlog ownership and delivery timelines.
• Monitor adoption and performance, adjust backlog priorities based on real-world feedback.
• Communicate progress, risks, and trade-offs to stakeholders transparently.

Connaissances

Insurance domain knowledge

Agile delivery

Stakeholder communication

Backlog governance

Product backlog ownership

Description du poste

Sedgwick is seeking an End-to-End AI Product Owner to own AI initiatives for a specific Line of Business or platform. You will partner with business stakeholders to define AI-enabled improvements to claims operations, cost control, and client service, and translate objectives into sprint-ready execution plans.

This role blends strategic initiative shaping with hands-on backlog ownership, daily collaboration with AI engineers and data scientists, and strong emphasis on delivering practical,