Senior AI/ML Lead - Power & Utilities Analytics

EY; Cleveland (OH); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Medical & dental coverage

401(k) and pension

Paid time off

Job summary

EY in the United States seeks a Manager in AI Native Engineering to deliver scalable data science solutions for Power & Utilities. You will lead cross‑functional teams and guide clients from planning through delivery, ensuring governance and security.

This role partners with business, IT and operations leaders to translate regulated priorities into AI‑enabled capabilities, mentor diverse colleagues, and move solutions from pilots to production in hybrid client environments.

Qualifications

• A Bachelor’s degree required (4-year degree).
• 6-10 years of relevant experience in AI/Data Science/Machine Learning.
• 2-4 years of experience directly managing technical teams.

Responsibilities

• Leading workstream delivery and ensuring effective management of processes and projects.
• Continuously improving processes through research and analysis.
• Engaging actively with clients and leading workstreams from planning through execution to closure.
• Designing and delivering AI/ML use cases for Power & Utilities, including asset health and outage forecasting.
• Working with utility data sources (SCADA, GIS, EAM, CIS) and integrating into analytics platforms.
• Supporting utilities in moving AI solutions from pilots to production with governance and cybersecurity.

Skills

Python

Generative AI

DevOps

Jira

CI/CD

SQL

Spark

Communication

Leadership

Education

Bachelor's degree

Master's degree

Tools

OpenAI

Langchain

PyTorch

scikit-learn

Job description

EY in the United States seeks a Manager in AI Native Engineering to deliver scalable data science solutions for Power & Utilities. You will lead cross‑functional teams and guide clients from planning through delivery, ensuring governance and security.

This role partners with business, IT and operations leaders to translate regulated priorities into AI‑enabled capabilities, mentor diverse colleagues, and move solutions from pilots to production in hybrid client environments.