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Metro Mumbai posting with some visibility but niche AI+energy focus limits applicant density.
Strong energy/industrial domain and EU AI Act governance focus makes cross-industry transferability low.
Explicit 9–12+ years, mandatory AI/product experience and sector/governance requirements create strict filters.
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Own the end-to-end AI product lifecycle across energy business lines, including vision, roadmap, backlog, delivery, adoption, ROI, and responsible retirement.
Act as accountable Product Owner ensuring AI governance, compliance with EU AI Act, architecture and production-readiness, and enforcing cross-functional sign-offs.
Manage stakeholder relationships, budgets, usage monitoring, change enablement, and align AI products with business priorities and global matrix organization needs.
9–12+ years in product management or digital/IT delivery, including at least 2 years managing AI/ML or digital products with proven ROI from concept to production adoption.
Bachelor's or master's degree in engineering, Computer Science, Data Science, Business or related field.
Experience in industrial, energy, EPC, engineering, or capital-goods sectors within global matrix organizations.
Position based in Mumbai with travel to Europe; maximum 2 days work-from-home per week.
Experienced AI product leader familiar with applied AI in industrial or energy sectors, capable of translating business needs into scalable AI solutions under EU AI Act and governance frameworks.
Skilled in Agile/Scrum product ownership, AI multi-agent architectures, and managing multi-stakeholder, global matrix environments without direct authority.
Capable of leading cross-functional teams including Applied AI engineers and IT, with experience driving user adoption, managing budgets, and sustaining product ROI amid complex digital transformation initiatives.