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

AI & Machine Learning Engineering Consultant

• Power & Utilities Sector
• Manager
• Consulting at EY in Rogers, Arkansas, United States Job Description

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 to build a better working world. Technology

• Data and Decision Science
• AI Native Engineering AI/Machine Learning Engineer, Manager Consultant Power & Utilities Sector The opportunity Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients.

As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. In this role, you will 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. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will 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. Within Power & Utilities engagements, these solutions will commonly support regulated environments such as electric, gas, and water utilities, addressing domains including grid and asset reliability, outage prediction and response, capital planning, customer operations, regulatory reporting, and operational efficiency across generation, transmission, distribution, and field operations. Your key responsibilities As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. In Power & Utilities contexts, this includes working with business, IT, and operations leaders to translate regulated utility priorities-such as safety, reliability, affordability, and compliance-into scalable AI-enabled solutions. Your responsibilities will include: + Leading workstream delivery and ensuring the effective management of processes and projects. + Continuously improving processes by identifying innovative solutions through research and analysis. + Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results. + Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure. + Identifying opportunities for additional services and managing engagement economics. + Designing and delivering 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. + Working with utility data sources including

SCADA, AMI/AMI 2.0, GIS, EAM

(e.g., Maximo), OMS, CIS, and historian systems, and integrating these into modern analytics platforms. + Supporting utilities in moving AI solutions from pilots to production while meeting regulatory, audit, cybersecurity, and data governance requirements. Skills and attributes for success 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 For Power & Utilities clients, success also requires an understanding of regulated operating models, risk tolerance, safety culture, rate cases, capital programs, and long asset lifecycles, and the ability to align AI outcomes to these realities. The following attributes will make a significant impact: + Proven ability to develop solutions to complex problems and recommend changes to policies and procedures. + Strong judgment in selecting methods and techniques for obtaining results. + Experience in managing client relationships and delivering high-quality service. + Ability to lead teams effectively and manage change within the organization. + Ability to translate AI and analytics outputs into business-relevant insights for utility executives, regulators, and operational leaders. + Comfort operating in highly regulated environments with strong governance, documentation, explainability, and model risk management expectations. 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 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 natural language processing and deep learning + Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions + 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 modelling and software engineering best practices + Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipu To view full details and how to apply, or