Load Forecasting Manager (Hybrid in Portland, OR)

_*Load Forecasting Manager *_

Ensure you read the information regarding this opportunity thoroughly before making an application.

Are you ready to lead high-impact forecasting, research, and equity initiatives for one of the Pacific Northwest’s largest energy providers? We’re looking for a strategic and data-driven leader to manage Load Forecasting, Load Research, and Equity Data Collection—supporting long-term energy planning, compliance, and clean energy transformation. This is more than just a forecasting role—it’s an opportunity to directly shape the future of sustainable energy and equitable access across the region.

*Type: *Direct-Hire!
*Pay: *$119k – 154k annually, DOE
*Work Model: *Onsite and/or Hybrid – Portland, Oregon



*Responsibilities of the Load Forecasting Manager *

_*Load Forecast Leadership*_
* Manage energy and demand forecasting for regulatory, business, and operational use.
* Oversee the development of econometric models to analyze customer behavior and regulatory impacts.
* Collaborate cross-functionally to integrate large customer usage, DSM, and distributed generation into forecasts.
* Provide expert-level insight to senior leadership and regulatory bodies through presentations, testimony, and reports.
* Lead the functional team by overseeing daily operations, providing guidance and recommendations, and managing all aspects of employee development, including selection, coaching, performance evaluations, and annual reviews.

_*Load Research Oversight*_
* Guide load research efforts in support of general rate cases and strategic data initiatives.
* Ensure sample design accuracy and integrity of metered data through advanced analytics.
* Lead the evolution from traditional methods to cutting-edge AMI-based analysis.

_*DEI Data Impact*_
* Direct the development of equity-related data frameworks in response to clean energy legislation.
* Define customer equity metrics and maintain dashboards for transparency and compliance.
* Act as a thought leader in DEI data strategy—bridging regulatory requirements and community impact.

*Qualifications of the Load Forecasting Manager: *
* Bachelor’s degree in a relevant field (Economics, Statistics, Engineering, etc.); advanced degree preferred.
* 7+ years of experience in utility regulatory analysis (forecasting, revenue, production cost modeling, cost of service, pricing, etc.).
* 3+ years in a leadership role, managing teams and guiding cross-functional initiatives.
* Strong technical aptitude and ability to translate complex data into meaningful insights.
* Exceptional written/verbal communication skills and comfort engaging with senior leadership and external stakeholders.
* Deep understanding of utility economics and equity-related legislative mandates (e.g., CETA, HB 2021).



\*\*We are unable to accommodate corp. to corp. candidates\*\*


*About Motus Recruiting and Staffing, Inc:*

_Founded in 2006, Motus is an award-winning recruiting and staffing firm in the Pacific Northwest, specializing in professional services and technology solutions. We are a group of people who not only recognize the importance of representation, but actively fight for diversity, equity, and inclusion in the recruitment process. Our goal is to educate organizations on the importance of DEI when hiring, promoting, and supporting diverse employees. We are calling organizations to demonstrate their commitment to DEI by being intentional about who they hire._

_All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status._

_KG/BH13252_

Job Type: Full-time

Pay: $119,000.00 - $154,000.00 per year

Benefits:
* Dental insurance
* Health insurance
* Paid time off
* Vision insurance
Schedule:
* 8 hour shift
* Day shift



Application Question(s):
* Do you have a deep understanding of utility economics and equity-related legislative mandates?

Experience:
* utility regulatory analysis: 7 years (Preferred)
* Leadership: 3 years (Preferred)

Work Location: In person
Remote working/work at home options are available for this role.