Senior AI Product Owner for Claims Processing

Motion Recruitment • United State
Remote
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AI Summary

Responsible for end-to-end ownership of AI initiatives for claims processing domains. Partners with business stakeholders to define AI-enabled improvements. Translates objectives into structured execution plans.

Key Highlights
End-to-end ownership of AI initiatives for claims processing domains
Partners with business stakeholders to define AI-enabled improvements
Translates objectives into structured execution plans
Key Responsibilities
Work directly with claims leadership, operational managers, and Business Transformation Leads to understand workflow bottlenecks, leakage drivers, customer friction points, regulatory risks, and client performance commitments.
Translate these insights into clearly defined AI use cases with measurable operational objectives such as reduced claim cycle time, improved reserving accuracy, enhanced fraud detection rates, or improved document processing speed.
Decompose initiatives into epics and features that reflect real-world operational workflows, ensuring requirements account for system integrations, adjuster behavior, client reporting requirements, and compliance obligations.
Collaborate with AI engineers and data scientists to validate feasibility, data availability, model explainability considerations, and downstream operational impact.
Own and continuously refine the product backlog, ensuring it remains prioritized according to business value and aligned with enterprise AI portfolio constraints.
Prepare stories with detailed acceptance criteria that reflect actual claims scenarios and operational realities, not abstract technical requirements.
During sprint execution, remain closely engaged with the delivery team, clarifying nuances of claims processes, regulatory rules, and client-specific variations.
Validate that developed models, automation features, or decision-support tools function appropriately within the claims workflow and align with user expectations.
Communicate progress, risks, and trade-offs to LOB stakeholders transparently, ensuring expectations are managed around sequencing and delivery timelines.
Follow deployment, monitor adoption, operational metrics, and user feedback, adjusting backlog priorities based on real-world performance and measurable impact.
Technical Skills Required
Artificial Intelligence Agile delivery environments
Benefits & Perks
100% remote
Permanent opening

Job Description


About the job


Our client, a global leader in technology-enabled risk, benefits, and integrated solutions, is seeking

a Senior AI Product Owner to be responsible for end-to-end ownership of AI initiatives for one of their claims processing domains. This role partners directly with business stakeholders to define AI-enabled improvements to claims operations, cost control, and client service performance, and translates 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. It ensures that AI development is grounded in real operational pain points and that delivered solutions are practical, compliant, and measurable in impact.


This is a permanent opening that is 100% remote. opportunity for a highly adaptable, results-driven individual to contribute to a collaborative and evolving environment.


What You Will Be Doing


  • Work directly with claims leadership, operational managers, and Business Transformation Leads to understand workflow bottlenecks, leakage drivers, customer friction points, regulatory risks, and client performance commitments.
  • Translate these insights into clearly defined AI use cases with measurable operational objectives such as reduced claim cycle time, improved reserving accuracy, enhanced fraud detection rates, or improved document processing speed.
  • Decompose initiatives into epics and features that reflect real-world operational workflows, ensuring requirements account for system integrations, adjuster behavior, client reporting requirements, and compliance obligations.
  • Collaborate with AI engineers and data scientists to validate feasibility, data availability, model explainability considerations, and downstream operational impact.
  • Own and continuously refine the product backlog, ensuring it remains prioritized according to business value and aligned with enterprise AI portfolio constraints.
  • Prepare stories with detailed acceptance criteria that reflect actual claims scenarios and operational realities, not abstract technical requirements.
  • During sprint execution, remain closely engaged with the delivery team, clarifying nuances of claims processes, regulatory rules, and client-specific variations.
  • Validate that developed models, automation features, or decision-support tools function appropriately within the claims workflow and align with user expectations.
  • Communicate progress, risks, and trade-offs to LOB stakeholders transparently, ensuring expectations are managed around sequencing and delivery timelines.
  • Follow deployment, monitor adoption, operational metrics, and user feedback, adjusting backlog priorities based on real-world performance and measurable impact.
  • Require balancing operational urgency with disciplined backlog governance, particularly in environments where client escalations or regulatory deadlines may introduce pressure for rapid change.


Requirements:


  • Bachelor’s degree in information management, computer science, or related technology field from an accredited college or university
  • Minimum 5 years of experience in a Product Owner/Manager role within insurance, claims, or managed services.
  • Strong understanding of Artificial Intelligence and experience working 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


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