Lead planning, coordination and execution of infrastructure projects for distribution centers across more than 10 national sites as part of the Engineering Waterhouse strategic agenda.
Responsibilities
Lead planning, coordination and execution of infrastructure implementation for distribution centers
Manage approvals with Real Estate, EHS, Corporate Security, Procurement
Administer cash flow, forecast, CAPEX/OPEX and related administrative processes
Ensure alignment among involved areas for safe, timely implementation
Support clean energy research, analytics, and consulting projects by managing portfolios, conducting quantitative and qualitative analysis, and delivering actionable client recommendations.
Compensation
The salary range for this position is $70,000 - $95,000.
Responsibilities
Provide project management and technical support in close collaboration with project managers and principals to ensure timely delivery of high-quality consulting solutions.
Manage key aspects of Cadmus research and evaluation projects, including budget tracking, invoicing, project planning, scheduling, resource management, and coordination of research and analytical activities.
Contribute to quantitative and qualitative research and analysis, including analysis of utility program, customer, market, demographic, and energy-use data.
Support market research and market characterization studies, including primary and secondary research, literature and data reviews, surveys, interviews, and other qualitative and quantitative research methods.
Analyze data to identify market trends, customer characteristics, participation barriers, program opportunities, and other insights relevant to clean energy programs and strategies.
Requirements
Undergraduate degree in economics, business, statistics, data analytics, environmental studies, energy, public policy, social sciences, engineering, or a related quantitative or research-oriented field.
Solutions Engineer focused on AI/ML adoption in the electric utility sector, combining pre‑sales technical consulting and post‑sales customer enablement.
Responsibilities
Gather customer requirements
Architect and demonstrate AI/ML‑powered solutions
Collaborate with Account Executives on RFI/RFP
Lead design and deployment of ML and computer vision workflows
Collaborate with customer technical teams during deployment
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