AI Product Owner for Insurance Platform (Onsite)

PropelSys Technologies LLC

Charlotte (NC)

On-site

USD 110,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Onsite work

Job summary

PropelSys Technologies LLC in Charlotte, NC is seeking a Product Owner to drive AI-enabled insurance platform initiatives. You will own the backlog, write user stories, plan sprints, and define acceptance criteria to deliver high‑value features for the Agentic AI platform.

Collaborate with Enterprise Architects, AI/ML leads, and business stakeholders to translate underwriting, claims, policy administration, and data‑model needs into actionable platform capabilities while ensuring regulatory and

Qualifications

  • Deep insurance domain knowledge with regulatory awareness.
  • Strong backlog management and requirements grooming.
  • Ability to translate business needs into AI platform requirements.

Responsibilities

  • Serve as the Product Owner for one or more workstreams within the Agentic AI platform.
  • Own, prioritize, and maintain the product backlog with epics and user stories.
  • Translate underwriting, claims, policy administration needs into platform features.
  • Partner with Enterprise Architects, AI/ML leads, and engineering teams.
  • Drive sprint planning, backlog grooming, and reviews with delivery teams.
  • Define KPIs and monitor platform adoption and business value across units.

Skills

Backlog management
User story writing
Sprint planning
Acceptance criteria
Roadmap prioritization
Product vision
AI platforms
Insurance domain knowledge
Stakeholder management

Education

MBA
CSPO

Tools

AWS
Azure
GCP
APIs

Job description

PropelSys Technologies LLC in Charlotte, NC is seeking a Product Owner to drive AI-enabled insurance platform initiatives. You will own the backlog, write user stories, plan sprints, and define acceptance criteria to deliver high‑value features for the Agentic AI platform.

Collaborate with Enterprise Architects, AI/ML leads, and business stakeholders to translate underwriting, claims, policy administration, and data‑model needs into actionable platform capabilities while ensuring regulatory and

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