Job Summary

The AI Product Manager owns the AI product life cycle end-to-end - from prospect and use-case definition, through prototyping and delivery, to adoption, ROI realization and responsible retirement. This is a business-facing product-leadership role - not a coding position - that sits at the intersection of business value, data readiness, multi-agent architecture and Group AI governance. This role ensures that every AI product has a named owner, a prioritized backlog, measurable business outcomes and full compliance with the Group Policies and the EU AI Act. Product ownership remains with the business, not the developers.

Key Responsibilities

- AI Product Strategy & Backlog Ownership

Own the vision, roadmap and prioritized backlog for assigned AI products across the three business lines. Translate business priorities into product increments; balance value, effort, risk and data readiness. Maintain a transparent intake-to-Go/No-Go pipeline aligned with the Energy AI use-case portfolio.

- 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

- Bachelors / master s in engineering, Computer Science, Data Science, Business or a related field; MBA or product-management certification an advantage.
- 9-12+ 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.
- Experience in industrial, energy, EPC, engineering or capital-goods environments and global, multi-country matrix organizations.
- Exposure to carve-out / M&A; integration or ERP / platform programs is an advantage.

Technical & Product Skills

- Core: Agile / Scrum product ownership, backlog & roadmap management, use-case qualification, value / ROI modelling, KPI definition, stakeholder storytelling.
- AI & Platform: GenAI & Agentic concepts (RAG, multi-agent orchestration, hooks/guardrails) Microsoft Copilot Studio, Azure AI Foundry, M365 / Power Platform, data-readiness assessment.
- Governance: EU AI Act, GDPR, architecture-review & production-readiness gates, RACI & sign-off discipline, FinOps / cost monitoring.
- Leadership: Executive stakeholder management, cross-functional influence without hierarchy, vendor / partner management, change & adoption leadership.

Travel & Work Arrangement

- This role requires periodic travel to Europe to work directly with business-line and Group IT stakeholders. The position is based in the Mumbai office, with a maximum of 2 days work-from-home per week as per discussion with the reporting manager.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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