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

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. 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.

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 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 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.

Qualifications

• A Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field is preferred.
• 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

• 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.
• Your individual salary within those ranges is 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.

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.