AI & Machine Learning Engineering Consultant - Power & Utilities Sector - Manager - Consulting

About the role

The opportunity is to join EY’s Artificial Intelligence and Data team, specifically within the Power & Utilities sector. As a Manager in AI Native Engineering, you will work closely with diverse teams from EY to advise and solve challenging problems for clients in regulated environments such as electric, gas, and water utilities. You will be responsible for researching, building, and implementing scalable AI systems tailored to business requirements, enhancing data pipelines, and monitoring learning processes.

Responsibilities

• Leading workstream delivery and managing processes and projects.
• Improving processes through research and analysis.
• Managing professional employees and supervising teams.
• Engaging with clients and participating in daily working sessions.
• Identifying opportunities for additional services and managing engagement economics.
• Designing and delivering AI/ML use cases relevant to Power & Utilities.
• Working with utility data sources and integrating them into modern analytics platforms.
• Supporting utilities in moving AI solutions from pilots to production while adhering to regulatory, audit, cybersecurity, and data governance requirements.

Requirements

• A Bachelor’s degree required (4-year degree).
• 6-10 years of relevant experience in AI, Data Science, and/or Machine Learning.
• 2-4 years of experience directly managing technical teams.
• Strong skills in Python.
• Ability to lead, collaborate, and communicate effectively with diverse teams.
• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform.
• Proficient in Generative AI models and frameworks, and experienced with ML packages like scikit-learn and PyTorch.
• Extensive experience in DevOps tools, Agile methodologies, and CI/CD pipelines.
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
• Experience with model retraining and feedback loop methodologies.
• Experience with model and solution monitoring and reporting.
• Understanding of data structures, data modeling, and software engineering best practices.
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
• Excellent communication skills for conveying findings and recommendations.
• Skills in Technical Design Optimization.
• Strong relationship-building skills.
• Demonstrated client trust and value.
• Digital fluency and emotional agility.
• Commercial acumen and negotiation skills.
• Proven ability to lead teams and manage change.
• Experience delivering analytics or AI solutions in asset-intensive environments (e.g., utilities, energy, infrastructure, manufacturing, or transportation).
• Familiarity with utility regulatory, compliance, or operational data considerations.

Qualifications

• A Master’s degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
• Experience working with diverse teams to deliver complex solutions.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
• Experience fine-tuning Generative AI models.
• Experience in managing complex projects with multiple stakeholders.
• A strong understanding of industry trends and emerging technologies.
• Skills in data visualization and storytelling with data.
• Experience with image processing techniques and/or speech and audio processing and analysis.
• Exposure to Power & Utilities transformation programs, such as grid modernization, advanced metering, wildfire mitigation, energy transition, DER integration, or digital operations initiatives.
• Experience supporting executive-level decision-making in regulated environments, including preparation of materials that may be reviewed by regulators or governing bodies.

Benefits

• Comprehensive compensation and benefits package.
• Flexible vacation policy.
• Leader-enabled and team-led hybrid model.
• Support for physical, financial, and emotional well-being.

Pay

The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

Most people in external, client serving roles are expected to work together in person 40-60% of the time over the course of an engagement, project or year.