Power and Utilities-Product Management-Data and AI - Manager | ErnstYoung Job

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Manager – Power & Utilities, Product Management, Data & AI

Experience: 10–14 years, including 10+ years in Power & Utilities, Energy, or asset-intensive industries and 2+ years of people or delivery leadership experience.

Role Summary

We are seeking an experienced Manager to lead Industrial AI product management for the Power & Utilities sector. The role will shape AI-enabled solutions across grid operations, asset performance, outage management, maintenance, safety, and operational intelligence, delivering measurable improvements in reliability, cost, resilience, and decision-making.

Key Responsibilities

• Own product strategy, roadmap, prioritization, and delivery governance for Power & Utilities AI engagements across grid, asset, reliability, safety, and operations use cases.
• Lead and coach Senior Consultants and Consultants, ensuring delivery excellence, domain rigor, high-quality client outputs, and team development.
• Act as a trusted client-facing product leader for roadmap discussions, executive updates, steering committees, workshops, and decision forums.
• Translate utility business needs into product capabilities, user journeys, success metrics, data requirements, and adoption plans.
• Collaborate with data science, engineering, architecture, and delivery teams to shape predictive, prescriptive, and GenAI-enabled solutions.
• Build reusable frameworks, accelerators, playbooks, and product assets to support repeatable delivery and practice growth.

Required Skills & Experience

• 10–14 years of experience in Power & Utilities, Energy, asset-intensive industries, industrial technology, or consulting, with strong exposure to digital, analytics, or product-led delivery.
• Strong understanding of grid operations, asset management, reliability, maintenance, safety, field operations, and utility business processes.
• Demonstrated experience leading consulting, product, analytics, or technology delivery teams in a client-facing environment.
• Strong executive communication, stakeholder management, negotiation, facilitation, and advisory skills.
• Proven ability to own outcomes, timelines, risks, dependencies, quality, and commercial commitments across multiple workstreams.
• Define and prioritize AI, ML, and GenAI roadmaps linked to reliability, asset performance, maintenance, safety, and customer outcomes.
• Strong grasp of predictive and prescriptive analytics concepts, including failure prediction, escalation modelling, anomaly detection, risk scoring, and optimization.
• Evaluate data and platform decisions across SCADA, GIS, AMI, OMS, ADMS, EAM, IoT, cloud platforms, and utility data models.
• Frame business cases and ROI narratives for outage intelligence, asset performance, field copilots, predictive maintenance, and operational search.
• Working knowledge of industrial data governance, data quality, cybersecurity, privacy, access control, and regulatory considerations.
• Apply NLP, semantic search, embeddings, and retrieval-augmented generation for outage, engineering, customer, and maintenance data.

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