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

EY is a global leader in assurance, consulting, tax, and transactions, helping clients shape the future with confidence. They are seeking a Manager in AI & Machine Learning Engineering to deliver innovative solutions in the Power & Utilities sector, focusing on scalable AI systems and enhancing data pipelines for various business needs.

Responsibilities:

• 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

Requirements:

• 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 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