AI Engineering - Power & Utilities - Senior Manager - Consulting
Listed on 2026-06-26
-
IT/Tech
AI Engineer (Applied/Software)
Location:
Anywhere in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.
The OpportunityOur mission is to guide clients through the complexities of digital transformation within the Power & Utilities sector, leveraging data, AI, and emerging GenAI and Agentic AI capabilities to drive innovation, improve reliability, and modernize operations.
As a Senior Manager specializing in AI & Data for Power & Utilities, you will help clients define their AI strategic vision, execute that vision to capitalize on future opportunities, and mitigate risk in highly regulated environments.
YourKey Responsibilities
Lead multidisciplinary teams and partner with electric, gas, and water utilities to design and deliver AI strategies and solutions aligned to operational and regulatory realities.
Your responsibilities include establishing AI strategies, governance and risk management frameworks, AI operating models, defining solution architectures, and overseeing the engineering and scaling of AI, GenAI, and Agentic AI capabilities within client environments. You will ensure all solutions comply with regulatory, security, and enterprise standards.
Your responsibilities will include:- 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
- Leading business development activities, including solution positioning, proposal development, and pursuit leadership
- Driving 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
- 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 life cycles, 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
- 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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).