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

EY · Secaucus, NJ · 3 wk ago

On-siteEngineering$126k–$230k/yrFull-time

About the role

Join our Artificial Intelligence and Data team to help apply cutting-edge technology and techniques to bring solutions to our clients. As a Manager in AI Native Engineering, you will work with a wide variety of clients to deliver the latest data science and big data technologies. You will lead workstream delivery and ensure the effective management of processes and projects. You will continuously improve processes by identifying innovative solutions through research and analysis. You will manage professional employees and supervise teams to deliver complex technical initiatives, with accountability for performance and results. You will engage actively with clients, participate in daily working sessions, and lead workstreams from planning through execution to closure.

Responsibilities

Research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises.
Enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.
Monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
Design and deliver AI/ML use cases relevant to Power & Utilities, such as asset health and failure prediction, outage detection and restoration optimization, vegetation management analytics, demand forecasting, load and DER forecasting, predictive maintenance, customer operations optimization, and regulatory analytics.
Work with utility data sources including SCADA, AMI/AMI 2.0, GIS, EAM (e.g., Maximo), OMS, CIS, and historian systems, and integrate these into modern analytics platforms.
Support utilities in moving AI solutions from pilots to production while meeting regulatory, audit, cybersecurity, and data governance requirements.

Requirements

To qualify for the role, you must have:

A Bachelor’s degree required (4-year degree).
6-10 years of relevant experience of full-time working 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, hybrid and global 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 (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch.
Experience with DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing.
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, with a willingness to travel for client engagements.
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) is strongly preferred.
Familiarity with utility regulatory, compliance, or operational data considerations is a plus.

Qualifications

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

Benefits

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. 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. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

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

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.