Head AI Product Manager

BookMyMentor; Mumbai; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

BookMyMentor is looking for a Head AI Product Manager to drive the enterprise AI/GenAI product portfolio. This hands-on leadership role requires a blend of AI product management, business analysis, and execution capabilities. You will oversee a team of Product Managers and ensure delivery meets governance and AI standards.

The ideal candidate will have strong domain knowledge in Retail and Oil & Energy, with a proven track record in managing product strategies and delivering impactful AI products.

Qualifications

• 5+ years of experience in AI product management or related fields.
• Strong understanding of product strategy and portfolio ownership.
• Proven leadership skills managing small teams.

Responsibilities

• Define AI CoE product vision and multi-quarter roadmap.
• Drive multi-squad execution and own program governance.
• Ensure enterprise readiness for every release.
• Lead change management at scale and run steering forums.
• Own GenAI usage economics and implement cost controls.
• Mentor a small team of AI Product Managers and BAs.

Skills

AI product management

Business analysis

Program/project execution

Analytical skills

Leadership

Domain knowledge in Retail

Domain knowledge in Oil & Energy

Job description

Head AI Product Manager

Senior Level (5+ years)

Posted 4/19/2026

The Chief AI Product Manager will own and drive the enterprise AI/GenAI product portfolio for Jio-bp’s AI CoE end-to-end from strategy to scale. This is a hands‑on leadership role reporting to the Head of AI CoE, combining AI product management, business analysis, and program/project execution. You will lead a small team of Product Managers, run multiple delivery squads/scrums, and ensure production rollouts meet enterprise governance (Security/IRM), Responsible AI, and value realization expectations. This role requires strong domain orientation (Retail + Oil & Energy a strong plus), the ability to translate business workflows into AI products, and strong analytical rigor to track outcomes, adoption, and cost. 1. Product Strategy & Portfolio Ownership – Define AI CoE product vision, product operating model, and multi‑quarter roadmap aligned to business priorities and enterprise platform readiness.
2. Delivery Leadership (Squads, Scrums, and Program Governance) – Drive multi‑squad execution, own program governance, ensure high‑quality delivery artifacts.
3. Governance, Risk, and Enterprise Readiness – Ensure enterprise readiness for every release, partner with AI Architects/MLOps/Cloud/Security teams.
4. Adoption, Change Management & Stakeholder Leadership – Lead change management at scale, run executive updates and steering forums.
5. GenAI Cost / Value Discipline – Own GenAI usage economics, partner with Platform/MLOps/FinOps to implement cost controls.
6. People Leadership (Small Team Management) – Lead and mentor a small team of AI Product Managers/BAs, establish consistent ways of working.