Leads complex research, evaluation, and advisory engagements for utility clients, owning strategic relationships, guiding multidisciplinary teams and methods, and growing the Customer Energy Solutions practice.
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14 open roles at E-Source
Supports utility customer research and evaluation projects by collecting, analyzing, and organizing qualitative and quantitative data, then contributing clear, client-ready reports, presentations, and other deliverables.
Leads transmission planning studies and client engagements for utilities and grid stakeholders, providing technical oversight, actionable analysis, project leadership, and mentorship to support decision-making and regulatory compliance.
Deliver transmission adequacy and reliability assessments for utility clients, using PSSยฎE and TARA to analyze grid conditions, develop defensible mitigation options, and communicate findings to stakeholders.
Lead transmission planning studies for utility clients, translating complex power-system analyses into practical recommendations while directing technical execution, guiding engineering teams, and delivering clear study reports.
Develop statistical and machine learning models for utility analytics, turning energy and grid data into actionable insights and production-ready solutions in collaboration with domain experts, engineers, and clients.
Own end-to-end delivery of production data platforms for utility clients, from technical discovery and architecture through deployment and handover, using Databricks and modern data engineering practices.
Own utility-client AI/ML engagements end to end, from technical discovery and architecture through deployment and adoption, delivering evaluated, monitored production systems that address real operational needs.
Supports utility AMI and technology implementations by coordinating system testing, validating integrations and data quality, tracking defects, and helping client teams establish reliable data-management processes.
Leads complex AMI and utility technology projects from planning through implementation, coordinating clients, vendors, and technical teams while managing scope, schedules, budgets, risks, and delivery.
Leads applied research and evaluation engagements from design through delivery, advising utility clients, managing multidisciplinary teams and project budgets, and translating evidence into clear, actionable recommendations.
Leads full-cycle sales development for data science solutions, building utility relationships, navigating complex opportunities, and translating grid and customer challenges into executive-level consultative conversations that drive sales.
Build and scale machine-learning and generative AI products for utility-sector use cases, developing reusable pipelines, agentic systems, and evaluation frameworks in collaboration with data scientists and software engineers.
Designs and maintains secure, scalable data pipelines and lakes using Databricks and AWS, partnering with engineering and analytics teams to deliver data products and support machine learning solutions.
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