Remote AI Product Owner — Claims & Ops

Sedgwick

Memphis (TN)

Remote

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

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

This role blends strategic shaping with hands-on backlog ownership, collaborating with AI engineers and data scientists to ensure practical, compliant, and measurable impact. Remote-friendly environment.

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.

Responsibilities

  • Own end-to-end AI product initiatives for a Line of Business or platform.
  • Collaborate with business stakeholders to define AI-enabled improvements to claims operations and client service.
  • Translate insights into clearly defined AI use cases with measurable objectives.
  • Decompose initiatives into epics and features aligned with real-world workflows.
  • Maintain and refine product backlog and acceptance criteria with delivery teams.

Skills

Product Management
Claims operations
Agile delivery
Stakeholder comms
Technical requirements

Job description

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

This role blends strategic shaping with hands-on backlog ownership, collaborating with AI engineers and data scientists to ensure practical, compliant, and measurable impact. Remote-friendly environment.

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