AI Engineering - Power & Utilities Sector - Senior Manager - Consulting

Key Responsibilities

• Lead complex client engagements and translate strategic objectives into actionable AI and data roadmaps across generation, transmission, distribution, gas operations, and customer functions
• Guide clients through AI governance, Responsible AI, model risk management, and operating model design suited for regulated environments
• Serve as a sector and technology leader across AI, data platforms, GenAI, and Agentic AI use cases relevant to Power & Utilities
• Drive development of EY AI delivery assets, accelerators, and reusable frameworks for AI Engineering, MLOps, LLMOps, observability, and governance
• Representative Power & Utilities AI, GenAI, and Agentic AI focus areas may include: Asset health, risk, and predictive maintenance for electric and gas infrastructure, Outage prediction, storm response decision support, and restoration optimization, Vegetation management analytics and inspection prioritization, Grid and load forecasting, including DER, EV, and demand response impacts, Capital planning analytics and risk-based investment prioritization, Customer operations optimization and contact center copilots, Regulatory analytics, including data request response and filing support, Field workforce enablement using technician copilots and knowledge assistants, Agentic AI workflows that orchestrate multi-step processes across utility systems with human-in-the-loop controls

Skills And Attributes For Success

• Clear vision for how Power & Utilities will evolve through digital transformation and AI
• Strong expertise in designing and operationalizing responsible, explainable, and controlled AI in regulated environments
• Deep understanding of utility operations, asset lifecycles, safety culture, capital programs, and regulatory expectations
• Ability to lead large-scale engagements while building trusted executive relationships
• Strong technical fluency across AI, data, analytics, and GenAI patterns within enterprise environments
• Ability to translate technical concepts into business and operational value for executive and regulator-facing audiences