Remote AI Product Owner: End-to-End Claims & Ops

Sedgwick

Las Vegas (NV)

Remote

USD 120,000 - 170,000

Full time

7 days ago
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Job summary

Sedgwick is seeking a Product Manager / Product Owner – AI to own end-to-end AI initiatives for a specific Line of Business or platform, partnering with stakeholders to define AI-enabled improvements to claims operations, cost control, and client service performance, and translating those objectives into structured, sprint-ready execution plans.

This role combines strategic initiative shaping with hands-on backlog ownership and daily collaboration with AI engineers and data scientists.

Qualifications

  • 6–10 years 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 stakeholder communication across business and technical audiences.

Responsibilities

  • Own end-to-end AI initiatives for a Line of Business or platform with backlog ownership.
  • Collaborate with claims leadership, operational managers, and transformation leads to define AI use cases.
  • Translate insights into epics and features with measurable objectives (reduced cycle time, improved reserving).
  • Work with AI engineers and data scientists to ensure feasibility and compliance, and validate impact.
  • Communicate progress, risks, and trade-offs to stakeholders and adjust priorities by outcomes.

Skills

Product Management
Insurance industry knowledge
Agile delivery
Translate operational pain points
Stakeholder communication

Job description

Sedgwick is seeking a Product Manager / Product Owner – AI to own end-to-end AI initiatives for a specific Line of Business or platform, partnering with stakeholders to define AI-enabled improvements to claims operations, cost control, and client service performance, and translating those objectives into structured, sprint-ready execution plans.

This role combines strategic initiative shaping with hands-on backlog ownership and daily collaboration with AI engineers and data scientists.

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