AI & Machine Learning Engineering Consultant - Power & Utilities Sector - Manager - Consulting
$125.5k - $230.2kErnst & Young Advisory Services Sdn Bhd
AI & Machine Learning Engineering Consultant - Power & Utilities Sector - Manager - Consulting Location: New York Other locations: Anywhere in Country Date: May 6, 2026 Requisition ID: 1708339 Location: Anywhere in Country 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 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 industrialise 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. 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 optimisation, vegetation management analytics, demand forecasting, load and DER forecasting, predictive maintenance, customer operations optimisation, 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 centre. 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 specialised 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 programmes, and long asset lifecycles, and the ability to align AI outcomes to these realities. Attributes Proven ability to develop solutions to complex problems and recommend changes to policies and procedures. Strong judgement 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 organisation. 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. Qualifications 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, 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) and experienced with ML packages such as 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 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 optimisation. 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. Ideally you’ll also have A deep understanding of and ability to teach concepts, tools, features, functions and benefits of different approaches to apply them. Master’s degree in Computer Science, Mathematics, Physical Sciences or another quantitative field. Experience working with diverse teams to deliver complex solutions. Experience fine‑tuning Generative AI models. Experience managing complex projects with multiple stakeholders. A strong understanding of industry trends and emerging technologies. Skills in data visualisation and storytelling with data. Experience with image processing techniques and/or speech and audio processing and analysis. Exposure to Power & Utilities transformation programmes, such as grid modernisation, 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. What we look for We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team. Benefits We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognised 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. Join us in our team‑led and leader‑enabled hybrid model. 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. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care and other leaves of absence when needed to support your physical, financial and emotional well‑being. Equal Employment Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity/ expression, pregnancy, genetic information, national origin, protected veteran status, disability status or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io. #J-18808-Ljbffr
$125.5k - $230.2k
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