Ai Product Owner

Tata Consultancy Services; Charlotte (NC); On-site; USD 120,000 - 140,000; Full time

Job summary

Tata Consultancy Services in Charlotte, NC seeks an AI Product Owner to drive value across insurance domain—underwriting, claims, policy admin—by translating business needs into AI-enabled platform features. You will own the backlog, write user stories, plan releases, and work with architects, AI leads, and business SMEs to ensure regulatory alignment and measurable adoption.

This full-time role requires deep domain knowledge, strong communication, and the ability to shepherd complex initiatives

Qualifications

• Deep insurance domain knowledge spanning underwriting, claims, policy admin, and reinsurance.
• Strong product ownership: backlog, user stories, sprint planning, and release planning.
• Ability to articulate AI platform vision and business value.
• Experience with AI/GenAI and enterprise AI platforms for insurance use cases.
• Comfort translating complex insurance processes into platform requirements.
• Experience with enterprise data models, APIs, and cloud platforms.
• Excellent cross‑functional collaboration and stakeholder communication.
• Familiarity with regulatory compliance, data privacy, and risk management.
• MBA or CSPO or equivalent certification.

Responsibilities

• Own and prioritize workstreams within the AI Agentic Platform.
• Define epics, stories, acceptance criteria, and feature specs reflecting insurance domain.
• Collaborate with architects, AI leads, engineering, and SMEs to align with regulatory needs.
• Lead sprint planning, backlog grooming, and reviews.
• Define KPIs and track platform adoption across business units.
• Support UAT planning, defect triage, and sign-off for releases.
• Facilitate workshops and demos to gather business input and drive adoption.
• Maintain product roadmap aligned with delivery timelines.
• Ensure features comply with governance and risk frameworks.
• Drive change management and training for successful deployment.

Skills

Insurance domain expertise

Product ownership

AI/GenAI platform experience

Backlog & sprint planning

Vision & roadmaps

APIs & cloud platforms

Regulatory compliance

Stakeholder management

MBA or CSPO certification

Data modeling knowledge

Education

MBA or advanced degree

CSPO or equivalent certification

Job description

AI Product Owner

Must Have Technical/Functional Skills

• 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 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.
• MBA or advanced degree, CSPO or similar certifications

Responsibilities

• Serve as the Product Owner for one or more workstreams within the AI Agentic Platform, representing business needs and ensuring delivery of high-value platform capabilities aligned with insurance operations.
• 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.
• Translate business requirements - spanning underwriting, claims, policy administration, reinsurance, and actuarial functions - into clear, actionable platform features and AI agent use cases.
• 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.
• Drive sprint planning, backlog grooming, story refinement, sprint reviews, and retrospectives in collaboration with Agile delivery teams.
• Define, monitor, and report on product KPIs, business value metrics, and platform adoption outcomes across insurance business units.
• Work with business stakeholders to identify, prioritize, and validate Agentic AI use cases - ensuring alignment with business priorities, feasibility assessments, compliance requirements, and technology capabilities.
• Support UAT (User Acceptance Testing) planning, validation activities, defect triage, and stakeholder sign-off for platform releases.
• Facilitate stakeholder workshops, requirements sessions, and demos to gather insurance business input, validate platform capabilities, and drive adoption readiness.
• Maintain product roadmap alignment with program delivery timelines, business release schedules, and Agentic AI platform evolution strategy.
• Ensure all platform features comply with enterprise governance, security, audit, regulatory, and risk management frameworks applicable within the insurance industry.
• Support organizational change management, training readiness, and business adoption initiatives to drive successful deployment and sustained use of Agentic AI capabilities across insurance operations.

Salary Range- $120,000-$140,000 a year

Location

Charlotte, NC

Function

TECHNOLOGY

Role

Product Owner

ID

432001

Skills

Artificial intelligence

Salary Range

$120,000 - $140,000