We are having an excellent job opportunity for AI Product Manager role at Ghansoli Navi Mumbai location

Key Responsibilities-

- AI Product Strategy & Backlog Ownership Own the vision, roadmap and prioritized backlog for assigned AI products across the three business lines.
- Use-Case Qualification & Value Realization Identify, qualify and business-case AI opportunities (proposal & bid intelligence, engineering QA, contract intelligence, schedule risk, knowledge management, predictive maintenance). Define target KPIs, benefits baselines and ROI per product; track realized value and recommend scale, pivot or retire decisions.

• Delivery, Governance & Compliance Act as the accountable Product Owner in the Multi-Agent AI Governance framework no vacant roles, backups defined. Steer sprints with Applied AI engineers. Enforce architecture-review, production readiness and sign-off gates with the ITBP, ICT, Security and Data owners; ensure EU AI Act documentation and Group AI-policy compliance.
- Adoption, Change & Enablement Drive user adoption and workflow redesign so AI products land in daily work. Prepare adoption materials, champion networks and training; monitor usage (WAU/MAU), feedback and satisfaction. Partner with BL AI Leads to embed products into engineering, tendering, execution and services.
- Budget, Cost & Consumption Monitoring Own the product-level budget: estimate build/run costs, track cloud,



token, API and license consumption against forecast, and flag overruns. Maintain a per-product cost-and-ROI view for Energy Management and integrate FinOps discipline into the product life cycle.

• Stakeholder & Partner Management Serve as the single point of contact between business stakeholders, Applied AI CoE, Group ICT and external partners Facilitate steering reviews, manage vendor scope and deliverables, and influence stakeholders across a global matrix without hierarchy. Education & Experience

- Bachelor's / masters in engineering, Computer Science, Data Science, Business or a related field; MBA or product-management certification an advantage.
- 912+ years in product management / product ownership, digital or IT delivery including at least 2 years in AI/ML, data, or digital product management.
- Proven ownership of AI / ML / GenAI or agentic products from concept to production and adoption, with measurable ROI.

4. Preferred Credentials

- Certified Scrum Product Owner (CSPO) / Protected POPM
- PMP / PRINCE2 , Microsoft AI / Azure AI certifications
- Copilot Studio maker
- Sector experience in energy / cooling / HRSG / renewables / hydrogen / industrial equipment
- Carve-out / M&A; integration exposure

If interested kindly share your updated CV on [email protected]

📌 AI Product Manager (Navi Mumbai)
🏢 John Cockerill
📍 Navi Mumbai