Lead Energy Economist - Resource Adequacy; Remote Eligible

Lead Energy Economist - Resource Adequacy (Remote Eligible)

Job Category: Economics

Requisition Number: LEADE
002260

• Posted :
  January 22, 2026
• Full-Time
• Remote

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Southwest Power Pool (SPP) is about more than power. We’re about the power of relationships. Our employees have the opportunity to work together to ensure electricity is delivered reliably and affordably to the millions of people living in our service territory. We have been voted one of Arkansas’ Best Places to work by Arkansas Business and we are looking for a member of our team who is passionate about our mission to keep the lights on!

We have a core ideology here at SPP that we stand by:
Do the right thing, for the right reason, in the right way.

We believe in supporting our employees through a fantastic benefits package:

• Competitive and transparent pay with bonus opportunities
• Excellent insurance package including three great medical plans to choose from, employer-paid short-term disability, long-term disability, and life insurance
• Relocation bonus (if applicable)
• Hybrid working environment for positions that are eligible
• Fantastic contributions to your retirement through a 401(k) savings plan with employer-match benefits and a pension (defined benefit plan) fully funded by SPP

PLEASE NOTE:

SPP is not able to sponsor employment visas or student-work authorizations (STEM OPT) for this position. Please ensure you are eligible to work in the U.S. without sponsorship prior to applying.

COMPENSATION INFORMATION
The salary range(s) represents our good faith estimate for the role at this time. While we strive to provide competitive and transparent compensation, there may be circumstances where an offer is above or outside of the listed range. We are open to discussing salary expectations with qualified candidates considering factors such as the candidate's qualifications, skills, competencies, experience and geographic location will all be considered during the hiring process.

Lead Energy Economist - Pay Range: $128,950 - $167,640

OVERVIEW:

The position of Lead Energy Economist will develop data requirements, perform verifications and validations, as well as perform forecasting analysis to understand and predict load forecast risks. This need is being driven by substantial load growth from electrification with electric vehicles, data centers, artificial intelligence, and other new sources of demand and from extreme weather events are stressing our grid more than ever as consumers continue to set records for electricity use.

Load forecast uncertainty is growing, as is the differences in year-over-year forecasts and the differences between load forecasts in different SPP process (i.e. resource adequacy and transmission planning).

The Lead Energy Economist will collaborate across internal SPP departments and with stakeholders to develop, evaluate, and refine load forecasting principles and rules within the SPP region. They will perform analysis to assess the effectiveness of current processes and identify opportunities for enhancements to improve efficiency, reliability, and transparency.

After years of depending on our Load Responsible Entities to develop load forecasts, this age of new demand types has made it clear that SPP Staff needs to have insight into the load forecasts that are being developed and provided to SPP for use in our study processes. This would include understanding the risk of load forecast variations, error, and understanding the accuracy of the forecasts that have been provided.

SPP study processes that depend on accurate load forecasts include the Loss of Load Expectation Study, Effective Load Carrying Capability Studies, Transmission Service Studies, and the Integrated Transmission Planning process. These processes all lead to the direct investment of billions of dollars from SPP’s members in either the construction of generating resources or transmission assets.

ESSENTIAL FUNCTIONS:

Data Collection and Analysis:

• Gather and compile data on potential customer loads, weather patterns, economic indicators, and other relevant factors.
• Analyze historical load data to identify trends, seasonality, and other patterns.
• Us…