AI Product Owner – Claims & Ops (Remote)

Sedgwick

Columbia (SC)

Remote

USD 110,000 - 165,000

Full time

3 days ago
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Job summary

Sedgwick is seeking an End-to-End AI Product Owner to lead AI initiatives for a specific Line of Business or claims domain. You will partner with stakeholders to shape AI-enabled improvements in claims operations, cost control, and client service performance, translating objectives into structured backlogs and sprint plans.

In this role, you will balance strategic initiative shaping with hands-on backlog ownership, working closely with AI engineers and data scientists to ensure feasible,

Qualifications

  • 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 stakeholder communication skills across business and technical audiences.

Responsibilities

  • Own end-to-end AI initiatives for a Line of Business or claims domain.
  • Define AI-enabled improvements to claims operations, cost control, and client service performance.
  • Translate objectives into sprint-ready execution plans.
  • Collaborate with AI engineers and data scientists to validate feasibility and impact.
  • Manage the product backlog with prioritized epics and features.
  • Monitor adoption, metrics, and user feedback post-deployment.

Skills

Product management
Agile delivery
Stakeholder communication
Backlog ownership
AI/ML familiarity

Job description

Sedgwick is seeking an End-to-End AI Product Owner to lead AI initiatives for a specific Line of Business or claims domain. You will partner with stakeholders to shape AI-enabled improvements in claims operations, cost control, and client service performance, translating objectives into structured backlogs and sprint plans.

In this role, you will balance strategic initiative shaping with hands-on backlog ownership, working closely with AI engineers and data scientists to ensure feasible,

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