AI Product Owner - Agentic AI | Insurance / BFSI | Gurugram

Talent Toppers; Gurugram District; Vor Ort; INR 1.800.000 - 2.400.000; Vollzeit

Zusammenfassung

Talent Toppers in Gurugram is seeking an AI Product Owner to bridge business stakeholders and AI delivery teams, identifying, prioritising and delivering GenAI-based use cases and agentic AI workflows that drive measurable business outcomes.

You will own and prioritise the AI product backlog, translate business requirements into user stories, and collaborate with AI Engineers, Data Scientists and operations to ensure compliant, scalable solutions. Strong communication is essential.

Qualifikationen

• 5–12 years in Product Management, Product Ownership, Digital Transformation or AI programs.
• Hands-on experience delivering GenAI / LLM-based solutions or automation platforms into production.
• Strong understanding of AI, GenAI and Agentic AI concepts and enterprise use cases.
• Domain experience in Insurance, Banking or Fintech (BFSI) – insurance exposure is a plus.
• Familiarity with APIs, enterprise systems and orchestration platforms such as Copilot Studio, Pega, LangChain or CrewAI.
• Experience with Agile/Scrum delivery and working with cross-functional AI or analytics teams.
• Excellent stakeholder management and communication skills.

Aufgaben

• Identify and shape enterprise AI use cases aligned to business priorities, and define success criteria and KPIs
• Design Agentic AI workflows – break business processes into agent tasks, orchestration flows, decision points, guardrails and human-in-the-loop escalations
• Own and prioritise the AI product backlog based on business value, ROI, feasibility, compliance and operational risk
• Translate business requirements into AI user stories, agent workflows and sprint-ready requirements
• Act as the single point of contact between business owners and AI delivery pods; run requirement workshops with business, operations, risk, compliance and technology teams
• Work with AI Engineers, Data Scientists and Architects through solution reviews, UAT, pilots and production rollout
• Ensure solutions follow Responsible AI principles (fairness, transparency, explainability, auditability) and enterprise data privacy, security and compliance standards
• Define data requirements and feedback loops with data teams
• Track value realised – automation %, turnaround time, productivity, customer and employee experience – and drive adoption and change management

Kenntnisse

Product management

GenAI experience

AI concepts

Fintech domain

APIs & orchestration

Agile/Scrum

Stakeholder mgmt

Jobbeschreibung

About the client:

A leading insurance company is building out its Enterprise AI & Decision Intelligence function and is hiring AI Product Owners to drive Agentic AI adoption across the business.

Location:

Gurugram (work from office, 5 days a week)

Experience:

5–12 years (hiring at Manager and Senior Manager levels)

Notice period:

Immediate to 30 days preferred

The role

You will be the bridge between business stakeholders and AI delivery teams – identifying, prioritising and delivering AI-powered use cases and AI agents that deliver measurable business outcomes.

Key responsibilities

• Identify and shape enterprise AI use cases aligned to business priorities, and define success criteria and KPIs
• Design Agentic AI workflows – break business processes into agent tasks, orchestration flows, decision points, guardrails and human-in-the-loop escalations
• Own and prioritise the AI product backlog based on business value, ROI, feasibility, compliance and operational risk
• Translate business requirements into AI user stories, agent workflows and sprint-ready requirements
• Act as the single point of contact between business owners and AI delivery pods; run requirement workshops with business, operations, risk, compliance and technology teams
• Work with AI Engineers, Data Scientists and Architects through solution reviews, UAT, pilots and production rollout
• Ensure solutions follow Responsible AI principles (fairness, transparency, explainability, auditability) and enterprise data privacy, security and compliance standards
• Define data requirements and feedback loops with data teams
• Track value realised – automation %, turnaround time, productivity, customer and employee experience – and drive adoption and change management

What we are looking for

• 5–12 years in Product Management, Product Ownership, Digital Transformation or AI programs
• Hands-on experience delivering GenAI / LLM-based solutions or automation platforms into production
• Strong understanding of AI, GenAI and Agentic AI concepts and enterprise use cases
• Domain experience in Insurance, Banking or Fintech (BFSI) – insurance exposure is a plus
• Familiarity with APIs, enterprise systems and orchestration platforms such as Copilot Studio, Pega, LangChain or CrewAI
• Experience with Agile/Scrum delivery and working with cross-functional AI or analytics teams
• Excellent stakeholder management and communication skills