AI Product Owner - Claims Ops (Remote)

Sedgwick

Biloxi (MS)

Remote

USD 110,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

Remote work

Job summary

Sedgwick is seeking a Product Manager / Product Owner – AI to own AI initiatives for a specific line of business or claims domain. You’ll partner with stakeholders to define AI-enabled improvements, shaping strategic direction and translating it into sprint-ready plans.

The role blends strategic initiative shaping with hands-on backlog ownership, daily collaboration with AI engineers and data scientists, and ensuring practical, compliant, measurable outcomes across claims workflows.

Qualifications

  • 6–10 years of experience in Product Management or Business-Technology roles in insurance/claims.
  • Strong understanding of claims operations and 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.
  • Define AI-enabled improvements to claims operations and client service.
  • Translate objectives into sprint-ready execution plans.
  • Collaborate with AI engineers and data scientists for feasibility and impact.
  • Backlog governance with prioritized, value-driven features.
  • Communicate progress and risks to stakeholders; monitor post-deployment adoption.

Skills

Product management
Insurance domain knowledge
Agile delivery
Stakeholder communication
Requirements analysis

Job description

Sedgwick is seeking a Product Manager / Product Owner – AI to own AI initiatives for a specific line of business or claims domain. You’ll partner with stakeholders to define AI-enabled improvements, shaping strategic direction and translating it into sprint-ready plans.

The role blends strategic initiative shaping with hands-on backlog ownership, daily collaboration with AI engineers and data scientists, and ensuring practical, compliant, measurable outcomes across claims workflows.

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