Product Owner

Programmers.io

Charlotte (NC)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Onsite work

Job summary

Programmers.io is seeking a Product Owner to lead workstreams within the AI Agentic Platform for enterprise insurance customers. The role requires deep insurance domain knowledge and strong backlog and story-management capabilities.

You will own epics, write user stories, coordinate sprint planning, define acceptance criteria, and align features with regulatory, data privacy, and risk requirements while collaborating with architects, engineers, and business SMEs.

Qualifications

  • Deep insurance domain knowledge and understanding of regulatory requirements.
  • Experience with backlog management, user story writing, sprint planning, and release planning.
  • Ability to translate insurance needs into AI platform features and use cases.
  • Strong analytical and communication skills across business, technology, and leadership.

Responsibilities

  • Serve as the Product Owner for one or more workstreams within the AIG Enterprise AI Agentic Platform.
  • Own, prioritize, and maintain the product backlog with epics and user stories.
  • Translate insurance requirements into actionable platform features and AI use cases.
  • Partner with architects, AI leads, and engineers to align solutions with regulatory objectives.
  • Drive sprint planning, backlog grooming, and reviews with delivery teams.
  • Define and report KPIs, business value, and adoption outcomes.
  • Identify, validate, and prioritize use cases with stakeholders to ensure feasibility and compliance.
  • Support UAT planning, defect triage, and stakeholder sign-off for releases.
  • Facilitate workshops, sessions, and demos to drive adoption readiness.
  • Maintain roadmap alignment with delivery timelines and platform evolution.
  • Ensure features comply with governance, security, and risk management frameworks.
  • Support change management and training for successful deployment.

Skills

Product Ownership
Backlog Management
User Stories
Sprint Planning
Roadmap Prioritization
AI Platform
Stakeholder Management
Regulatory Compliance
Data Privacy
Communication

Education

MBA or advanced degree
CSPO or similar

Tools

AWS
Azure
GCP
APIs

Job description

Role: Product Owner
Location: Charlotte, NC/ Jersey City, NJ (Onsite)
Duration: 6 months
Descriptions:

Deep insurance domain expertise - strong understanding of insurance business processes, regulatory requirements, underwriting workflows, claims lifecycle, policy administration, reinsurance operations, and insurance data models.

Strong Product Ownership capabilities including backlog management, user story writing, sprint planning, acceptance criteria definition, release planning, and roadmap prioritization.

Ability to define and communicate product vision, business value, and feature priorities aligned with AIG's Agentic AI Platform strategic objectives.

Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms - understanding of AI capabilities, limitations, and applicability within insurance use cases.

Strong analytical, problem-solving, and critical thinking skills - ability to translate complex insurance business problems into clear, actionable AI platform requirements.

Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems.

Strong collaboration, stakeholder management, facilitation, and communication skills across business, technology, and executive leadership audiences.

Familiarity with insurance regulatory compliance, data privacy, audit, and risk management requirements.

  1. 1 Serve as the Product Owner for one or more workstreams within the AIG Enterprise AI Agentic Platform, representing business needs and ensuring delivery of high-value platform capabilities aligned with insurance operations.
  2. 2 Own, prioritize, and maintain the product backlog - defining epics, user stories, acceptance criteria, and feature specifications that reflect deep insurance domain knowledge and Agentic AI platform requirements.
  3. 3 Translate AIG's insurance business requirements - spanning underwriting, claims, policy administration, reinsurance, and actuarial functions - into clear, actionable platform features and AI agent use cases.
  4. 4 Partner closely with Enterprise Architects, Solution Architects, AI/ML Leads, Engineering Teams, and Business SMEs to ensure technical solutions align with insurance business objectives and regulatory requirements.
  5. 5 Drive sprint planning, backlog grooming, story refinement, sprint reviews, and retrospectives in collaboration with Agile delivery teams.
  6. 6 Define, monitor, and report on product KPIs, business value metrics, and platform adoption outcomes across insurance business units.
  7. 7 Work with AIG business stakeholders to identify, prioritize, and validate Agentic AI use cases - ensuring alignment with business priorities, feasibility assessments, compliance requirements, and technology capabilities.
  8. 8 Support UAT (User Acceptance Testing) planning, validation activities, defect triage, and stakeholder sign-off for platform releases.
  9. 9 Facilitate stakeholder workshops, requirements sessions, and demos to gather insurance business input, validate platform capabilities, and drive adoption readiness.
  10. 10 Maintain product roadmap alignment with program delivery timelines, business release schedules, and Agentic AI platform evolution strategy.
  11. 11 Ensure all platform features comply with AIG's enterprise governance, security, audit, regulatory, and risk management frameworks applicable within the insurance industry.
  12. 12 Support organizational change management, training readiness, and business adoption initiatives to drive successful deployment and sustained use of Agentic AI capabilities across AIG's insurance operations.

Good-to-Have: MBA or advanced degree, CSPO or similar certifications

Desired Experience: 12+ years

Good to have Technical Skill Set: Business Analysis, Insurance Domain Knowledge

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