AI Product Manager (Energy)

John Cockerill; Mumbai; Hybrid; INR 2,400,000 - 3,600,000; Full time

Benefits offered by this job

Travel opportunities

Job summary

John Cockerill is seeking an AI Product Manager to own the end-to-end life cycle of AI products, aligning business value with data readiness and governance. The role sits in Mumbai, with travel to Europe as needed, and a hybrid work arrangement from the India office.

The candidate should bring 9+ years in product management, expertise in GenAI, and strong stakeholder leadership to drive adoption, ROI realization, and compliance with group policies.

Qualifications

• Education: Bachelor's or Master's in engineering, CS, data science, or business; MBA or product-management cert advantageous.
• 9–12+ years in product management/ownership, with 2+ years in AI/digital product management.
• Experience owning AI/ML/genAI products from concept to production and adoption.

Responsibilities

• Own AI product strategy, backlog, and roadmap across three business lines.
• Identify AI opportunities, define KPIs, ROI, and value baselines.

Skills

Agile / Scrum product ownership

Backlog management

Roadmap management

Use-case qualification

Value / ROI modelling

KPI definition

Stakeholder storytelling

Leadership without hierarchy

Education

Bachelor's / master's in engineering, CS, Data Science, Business; MBA or product-management certification advantageous

Tools

Microsoft Copilot Studio

Azure AI Foundry

M365 / Power Platform

Job description

John Cockerill, enablers of opportunities

Driven since 1817 by the entrepreneurial spirit and thirst for innovation of its founder, the John Cockerill Group develops large-scale technological solutions to meet the needs of our time: facilitating access to low-carbon energies, enabling sustainable industrial production, preserving natural resources, contributing to greener mobility, enhancing security and installing essential infrastructures.

Its offer to companies, governments and communities consists of services and associated equipment for the sectors of energy, defense, industry, environment, transport and infrastructures.

With more than 8 200 employees, John Cockerill achieved a turnover of € 1.649 billion in 2025 in 27 countries, on 5 continents.

About The Role

John Cockerill is a global engineering group founded in 1817 and headquartered in Seraing, Belgium, delivering large-scale technological equipment across energy, defense, and industry. John Cockerill Energy is executing a 2026–2030 IT, digital and Applied‑AI transformation across Cooling, Energy Solutions and Energy Transition, including a shift from experimental agents to industrialized, governed AI products. The AI Product Manager owns the AI product life cycle end‑to‑end — from opportunity 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.


• Qualifications & Skills Education & Experience Bachelor's / 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. Preferred Credentials Certified Scrum Product Owner (CSPO) / SAFe 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


• 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.


• Why Join Own AI products end‑to‑end — take flagship agentic products from pilot to industrialized, revenue‑ and productivity‑impacting solutions across three business lines Shape a new Applied AI function — help build the Energy Applied AI Centre of Excellence and India AI Delivery Pod, defining how AI is governed, delivered and scaled. High visibility, real impact — a business‑facing role reporting into the ITBP, engaging BL CEOs, contributing to the Group GenAI vision and the exposure across multiple geographies

John Cockerill offers you career and development opportunities within its various sectors in a friendly working environment.

Do you want to work for an innovative company that will allow you to take up technical challenges on a daily basis?

We look forward to receiving your application and to meeting you!

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