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TC
Tata Consultancy Services Limited
AI Product Owner
Career Insights for Cloud Product Manager
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Scorecard
Based on North Carolina data
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What they do
A Cloud Product Manager is responsible for managing a strategy to develop and/or sell cloud services products. This may involve planning and assisting in the development, marketing and distribution of the product.
$172,644 / year median in North Carolina
+7% projected growth
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.
Benefits
- Dental Insurance