DS DevShelfHub Projects · AI tools
JC
Full time 🤖 AI / ML

AI Product Manager (Energy) at John Cockerill

Listed by DevShelfHub

Mumbai, Maharashtra, India
Hybrid
Senior · 9–13 yrs

About the Role

John Cockerill is hiring an AI Product Manager (Energy) in Mumbai to own the AI product life cycle end-to-end across Cooling, Energy Solutions, and Energy Transition business lines. John Cockerill is a global engineering group founded in 1817 delivering large-scale technological equipment across energy, defense, and industry.

This role requires 9–12+ years in product management including at least 2 years in AI/ML, data, or digital product management.

What you'll do

  • You will own AI product strategy, delivery, governance, adoption, and value realization across Energy business lines.
  • Own vision, roadmap, and prioritized backlog for assigned AI products across three business lines
  • Translate business priorities into product increments balancing value, effort, risk, and data readiness
  • Identify, qualify, and business-case AI opportunities: proposal intelligence, engineering QA, contract intelligence, schedule risk, knowledge management, predictive maintenance
  • Define target KPIs, benefits baselines, and ROI per product; track realized value
  • Act as accountable Product Owner in Multi-Agent AI Governance framework
  • Steer sprints with Applied AI engineers; enforce architecture-review and production-readiness gates
  • Ensure EU AI Act documentation and Group AI-policy compliance
  • Drive user adoption, champion networks, and training; monitor WAU/MAU and satisfaction
  • Own product-level budget and integrate FinOps discipline into product life cycle
  • Serve as single point of contact between stakeholders, Applied AI CoE, Group ICT, and external partners

What we're looking for

  • Bachelor's / Master's in engineering, Computer Science, Data Science, Business, or related field
  • 9–12+ years in product management / product ownership including 2+ years in AI/ML or digital product management
  • Proven ownership of AI/ML/GenAI or agentic products from concept to production with measurable ROI
  • Experience in industrial, energy, EPC, engineering, or capital-goods environments

Skills & Technologies

Required

Bachelor's / Master's in engineering, Computer Science, Data Science, Business, or related field 9–12+ years in product management / product ownership including 2+ years in AI/ML or digital product management Proven ownership of AI/ML/GenAI or agentic products from concept to production with measurable ROI Experience in industrial, energy, EPC, engineering, or capital-goods environments Agile / Scrum product ownership, backlog management, use-case qualification, value/ROI modelling GenAI and Agentic concepts: RAG, multi-agent orchestration, hooks/guardrails Microsoft Copilot Studio, Azure AI Foundry, M365 / Power Platform EU AI Act, GDPR, architecture-review gates, FinOps / cost monitoring

Benefits & Perks

  • Health Insurance
  • Flexible Leave Policy
  • Learning Budget
  • EPF / NPS

Why This Role is Good for Experienced Professionals

  • This business-facing product leadership role owns AI products from pilot to industrialized solutions with EU AI Act compliance.
  • Own vision, roadmap, and prioritized backlog for AI products across three business lines
  • Identify, qualify, and business-case AI opportunities with measurable ROI
  • Act as accountable Product Owner in the Multi-Agent AI Governance framework
  • Drive user adoption and workflow redesign for AI products in daily work
  • Own product-level budget and track cloud, token, API, and license consumption
  • Serve as single point of contact between business, Applied AI CoE, Group ICT, and partners
  • Periodic travel to Europe for business-line and Group IT stakeholder engagement
  • Help build the Energy Applied AI Centre of Excellence and India AI Delivery Pod

About John Cockerill

John Cockerill Energy is executing a 2026–2030 IT, digital and Applied-AI transformation including a shift from experimental agents to industrialized, governed AI products. The company achieved turnover of €1.649 billion in 2025 across 27 countries on 5 continents.
Industry
Technology
Company Size
500+
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Job Details

Type
Full time
Level
Senior
Experience
9–13 years
Location
Mumbai, Maharashtra, India
Work Mode
Hybrid
Category
AI / ML

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