Jobs at E Source

Serve as an embedded strategic HR partner for market unit leaders, driving workforce planning, org design, compensation analysis, performance coaching, complex employee relations, HR technology adoption, and harmonization of job architecture across a remote, multi-jurisdictional workforce.

Lead full-cycle, consultative sales for utility-focused data science solutions: nurture leads, manage complex opportunities, collaborate with SMEs and business units, drive executive-level conversations, and close deals to modernize grid reliability and customer engagement.

Lead and manage research, evaluation, and advisory projects for utility clients. Design and conduct qualitative and quantitative studies, oversee project teams, ensure scope/schedule/budget alignment, perform quality control, author client deliverables, and mentor junior staff while communicating technical findings to varied audiences.

Analyze energy efficiency program data, develop and evaluate methodologies to quantify electric and fossil fuel savings, calculate energy and demand savings for prescriptive and custom measures, conduct on-site verification, produce technical reports and presentations, and support additional evaluation and research activities.

Design and build secure, scalable cloud-native, AI-enabled applications and microservices for utilities. Lead architecture, translate requirements, develop APIs and data-driven solutions, mentor engineers, and ensure software quality and delivery.

Lead product strategy and roadmap for Storm Insights; own backlog and translate priorities into epics, features, and user stories; collaborate with engineers, data scientists, and designers; run agile ceremonies; validate releases and coordinate UAT; synthesize client feedback and utility operational data to improve storm readiness and restoration workflows.

Design, build, and maintain scalable data pipelines, lakes, and infrastructure using Databricks, Spark, Python, and AWS. Collaborate with ML engineers, data scientists, and analysts to deliver data products, ensure data quality and governance, implement DevOps/SDLC practices, mentor junior engineers, and evaluate new data technologies.