The Product Manager is responsible for defining product strategy, driving roadmap execution, managing stakeholder alignment, and ensuring delivery of business outcomes.

The role is expected to lead AI-enabled transformation within Product Management and establish scalable operating models for AI-assisted delivery.

The Product Manager is a senior member of the Product Management team of IDIT R&D, responsible for managing requirements for large and complex features that impact a specific domain. The candidate should be able to lead workshops with domain managers and customers to elicit requirements and present solution designs. The person should be able to mentor and train other Product Owners.

• Bachelor's degree in Engineering or equivalent qualification.
• MBA preferred.

Experience

• 10+ years of relevant experience.
• Should have some technical experience before transitioning to a BA/Product role.
• Insurance experience is a must.
• Prior knowledge of Core Insurance Product is a must.
• Experience of having worked as a Lead BA/SME in an implementation project for at least 3 years.
• Led end-to-end requirements across multiple domains and modules.

Domain Knowledge

• Good understanding of Insurance Products and processes covering at least 2 Lines of Business and associated processes.
• Good understanding of Reinsurance and Accounting modules.
• Good understanding of enterprise-wide system landscape for an insurance company.
• Good understanding of typical Insurance systems and their integration with the core system.
• Focus on complex end-to-end requirements for a specific domain.

Key Responsibilities

Strategic Responsibilities

• Align product priorities with business objectives and market needs.
• Drive cross-functional alignment across Product, Engineering, Architecture, Delivery, and Customer teams.
• Define product operating models and governance frameworks.
• Drive product standardization and scalable delivery practices.
• Support customer and market-facing strategic discussions.
• Drive modernization and transformation initiatives.
• Understand and contribute to core and Asia product roadmap.

Functional Responsibilities

• Manage a team of Product Owners, Analysts, and Associates.
• Gather business requirements for complex changes in the system with focus on a specific domain.
• Document requirements in SDS and setup books.
• Conduct requirement discussions with Domain Managers and customers.
• Co-ordinate implementation of changes with development and QA teams.
• Conduct walkthroughs of requirements with development and QA teams.
• Conduct User Forums.
• Conduct training sessions for junior members of the team.
• Work as a core representative to project teams as needed.
• Review SDS documents written by team members.
• Participate in Blueprint and Solution Design on projects on a need basis.
• Analysis and solution design using AI-assisted tools and frameworks.

AI-Enabled Strategic Responsibilities

• Define AI-enabled product management operating models.
• Drive AI adoption strategy for Product Management and delivery.
• Align AI-enabled practices with business outcomes and operational efficiency goals.
• Drive transition from implementation-heavy execution to scalable productized delivery.
• Evaluate opportunities for AI-enabled acceleration across the product lifecycle.
• Partner with Engineering and Architecture on AI platform capabilities.
• Define governance and operational standards for AI-enabled product delivery.
• Drive organizational capability building around AI-assisted execution.
• Define review and validation mechanisms for AI-generated artifacts.
• Identify opportunities for delivery acceleration using AI-assisted workflows.
• Drive adoption of AI-enabled operating models across teams.

Mandatory Skills

• Deep insurance domain expertise; strong understanding of insurance processes and core insurance systems.
• Excellent analytical skills and good design skills.
• Advanced SQL and data modelling skills (mandatory).
• Understanding of SDLC and Agile concepts (mandatory).
• Very good verbal and written communication skills.
• Good understanding of enterprise-wide system landscape for an insurance company.
• Good understanding of typical insurance systems and their integration with the core system.
• Ability to document business requirements as user stories; break large epics into smaller features and stories and document them in SDS.
• Ability to conduct demos and walkthroughs with POs and business users.
• Techno-functional and business solutioning capability.
• Strong product management and insurance domain expertise.
• Strong strategic thinking and roadmap management capability.
• Experience leading large cross-functional initiatives.
• Strong stakeholder and executive communication skills.
• Strong understanding of enterprise platforms and delivery models.
• Experience in Product Ownership, Business Analysis, or Solution Design.
• Ability to manage complex cross-functional requirements.
• Strong stakeholder management and workshop facilitation skills.
• Strong systems thinking and enterprise understanding.
• Ability to lead cross-functional teams and initiatives.
• Experience with Agile delivery methodologies.
• Strong analytical and prioritization capabilities.
• Working knowledge of APIs, integrations, and enterprise systems.
• Ability to effectively leverage AI-enabled delivery tools.
• Strong understanding of AI-enabled delivery trends and practices.
• Experience with AI-enabled delivery platforms and workflows.
• Exposure to prompt engineering and AI-assisted analysis.
• Experience in modernization or transformation programs.
• Exposure to AI governance and AI operating models.
• Experience building reusable delivery frameworks.
• Experience in using AI agents to elicit requirements and generate documentation.

Good-to-Have Skills

• Exposure to AI platforms, orchestration models, or intelligent automation.
• Experience with SaaS transformation and platform modernization.
• Exposure to Agentic AI delivery models and orchestration-based workflows.
• Exposure to digital transformation initiatives.

Key Characteristics

• Strategic and outcome-oriented mindset.
• Strong leadership and mentoring capability.
• Strong organizational influence.
• Ability to drive transformation and operational change.
• High ownership and accountability.
• Ability to balance speed with quality and governance.
• Systems thinking and cross-domain understanding.
• Strong balance of innovation, governance, and execution.