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

EY•Hartford, DC

3d•Remote

About The Position

At EY, we are at the forefront of guiding our clients through the complexities of digital transformation within the Power & Utilities sector. Our mission is to leverage the power of data, AI, and emerging GenAI and Agentic AI capabilities to drive innovation, improve reliability and resiliency, modernize operations, and enhance customer and regulatory outcomes for our clients. Our services help utilities redefine their strategies around data and AI, implement advanced technologies, and stay ahead of industry trends related to grid modernization, energy transition, distributed energy resources (DER), operational excellence, and evolving regulatory expectations. EY is making significant investments in its AI & Data practice serving the Power & Utilities sector. In this role, you will help clients define their AI strategic vision and execute that vision to capitalize on future opportunities, scale for growth, and mitigate risk in highly regulated environments. You will bring deep industry insight and advanced knowledge of utility business drivers—safety, reliability, affordability, resiliency, compliance, and customer experience—to help clients navigate modern data management, AI platforms, cloud analytics, AI risk management, and rapidly evolving AI technologies. You will also play a key role in developing EY AI offerings, scaling solution assets, contributing to go-to-market strategies, and supporting thought leadership efforts. This role offers high visibility, strong growth trajectory, and opportunities to develop the next generation of Power & Utilities AI leaders. This position includes helping clients define and deploy Generative AI (GenAI) and Agentic AI solutions—such as copilots, intelligent assistants, and workflow agents—that augment decision-making, automate knowledge work, and orchestrate end-to-end processes, while maintaining appropriate governance, human oversight, and auditability.

Requirements

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.
Executive-level communication and stakeholder management skills.

Nice To Haves

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.

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.
Establish AI strategies, governance and risk management frameworks, AI operating models, define solution architectures, and oversee the engineering and scaling of AI, GenAI, and Agentic AI capabilities within client environments.
Ensure all solutions comply with regulatory, security, and enterprise standards.
Lead complex client engagements and translating 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.
Lead business development activities, including solution positioning, proposal development, and pursuit leadership.
Drive development of EY AI delivery assets, accelerators, and reusable frameworks for AI Engineering, MLOps, LLMOps, observability, and governance.