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

Key Responsibilities

• Leading complex client engagements and translating strategic objectives into actionable AI and data roadmaps across generation, transmission, distribution, gas operations, and customer functions
• Guiding clients through AI governance, Responsible AI, model risk management, and operating model design suited for regulated environments
• Serving as a sector and technology leader across AI, data platforms, GenAI, and Agentic AI use cases relevant to Power & Utilities
• Driving development of EY AI delivery assets, accelerators, and reusable frameworks for AI Engineering, MLOps, LLMOps, observability, and governance

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

Qualifications

• A Bachelor’s degree required (4-year degree)
• 8–10 years of experience delivering AI, data, analytics, and GenAI solutions, ideally within Power & Utilities or other asset-intensive regulated industries
• 8–10 years of professional consulting experience delivering technology-enabled transformation programs
• Strong experience with AI engineering, data platforms, and scalable cloud-based analytics solutions
• Experience working with Agile delivery models
• Experience defining and implementing AI governance, lifecycle management, monitoring, and controls
• Hands-on familiarity with GenAI architectures such as retrieval-augmented generation (RAG), orchestration frameworks, and agent-based solutions
• Advanced degree in computer science, engineering, analytics, statistics, or a related field
• Experience leading enterprise-scale AI, data, or cloud transformation initiatives
• Familiarity with utility systems and data sources such as AMI, OMS, SCADA, GIS, EAM, CIS, and work management platforms
• Knowledge of utility cybersecurity, privacy, and compliance considerations impacting AI and GenAI deployments
• Experience building reusable delivery assets and go-to-market offerings in a consulting environment
• Experience working with diverse teams to deliver complex solutions