Principal Resource Adequacy Planning Engineer

Jobgether

United States

Remote

USD 175,000 - 199,000

Full time

16 hours ago
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Benefits offered by this job

Salary: 175,325–199,225 USD per year
Fully remote within United States
Health, dental, vision, and life ins.
Paid time off and holidays
401(k) with employer match
Discretionary profit-sharing (7% of-s­
Flexible schedule with Pacific Time; e

Job summary

Jobgether is listing a Principal Resource Adequacy Planning Engineer based in the United States, remote opportunity focused on probabilistic studies using SERVM to assess LOLE, ELCC, capacity accreditation, and planning reserve margins. You will lead complex analyses, establish modeling standards, and mentor engineers, presenting findings to senior leaders.

This role blends grid reliability with cross-functional collaboration.

Qualifications

  • Bachelor's degree in Electrical Engineering or related quantitative discipline.
  • 10+ years of experience in resource adequacy, generation or transmission planning, or related fields.
  • Hands-on experience leading SERVM studies with LOLE/ELCC and planning margins.
  • Strong written and verbal communication for boards, regulators, and executives.

Responsibilities

  • Lead complex SERVM studies covering LOLE, ELCC, capacity accreditation, and planning margins.
  • Mentor engineers, set QA/QC and model governance standards, and review analyses.
  • Translate findings into clear reports and board materials for decisions.
  • Engage with stakeholders and represent the organization at meetings and forums.
  • Identify reliability risks and resolve analytical challenges with senior leadership guidance.

Skills

SERVM modeling
LOLE analysis
ELCC analysis
Stakeholder engagement
Python
SQL
R
MATLAB
Excel

Education

Bachelor's degree in Electrical Engineering or related quantitative discipline
Advanced degree preferred

Tools

SERVM
Python
SQL
R
MATLAB
Excel

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Resource Adequacy Planning Engineer based in the United States. Join a team dedicated to strengthening electric grid reliability across the Western Interconnection. As Principal Resource Adequacy Planning Engineer, you will lead advanced probabilistic resource adequacy studies and provide technical guidance on critical planning decisions. You will use SERVM to conduct complex Loss of Load Expectation (LOLE), Effective Load Carrying Capability (ELCC), capacity accreditation, and planning reserve margin analyses. Combining deep technical expertise with strong stakeholder engagement, you will help utilities and industry partners understand analytical findings and their implications. You will also establish modeling standards, mentor technical professionals, and advise senior decision-makers. This remote opportunity offers a highly visible role at the intersection of power system planning, grid reliability, and industry collaboration.

Accountabilities
Responsibilities

You will lead the technical development and delivery of resource adequacy studies while serving as a trusted advisor to stakeholders and senior decision-makers. Your responsibilities will include:

  • Lead complex SERVM studies covering LOLE, ELCC, capacity accreditation, and planning reserve margins.
  • Recommend study assumptions, sensitivities, and methodologies, working with participants to build understanding and alignment.
  • Serve as a primary technical liaison for members, committees, vendors, regulators, leadership, and board representatives.
  • Translate complex analytical findings into clear technical reports, presentations, board materials, and defensible recommendations.
  • Build and maintain strong stakeholder relationships by addressing technical questions, resolving concerns, and explaining implications for resource adequacy programs.
  • Establish quality assurance and quality control (QA/QC) processes and model-governance standards.
  • Review modeling work and promote consistent technical methodologies and documentation practices.
  • Mentor engineers and analysts, supporting their technical development and strengthening team capabilities.
  • Identify emerging reliability risks and resolve complex or precedent-setting analytical challenges.
  • Represent the organization at stakeholder meetings, workshops, and industry forums.
Requirements

The ideal candidate combines extensive experience in probabilistic resource adequacy modeling with the ability to communicate complex technical concepts to diverse audiences. Required qualifications include:

  • Typically 10+ years of progressively responsible experience in resource adequacy, generation or transmission planning, integrated resource planning, power system analysis, or electric markets.
  • Recent, hands-on experience leading complex SERVM studies, particularly involving LOLE, ELCC, capacity accreditation, and planning reserve margins.
  • Demonstrated technical leadership in managing complex studies, establishing QA/QC and model-governance standards, mentoring professionals, and resolving novel analytical challenges.
  • Strong written and verbal communication skills, including experience presenting technical findings to boards, regulators, committees, or executive audiences.
  • Ability to explain complex modeling methodologies and analytical results clearly, defend technical recommendations, and engage effectively with stakeholders from different backgrounds.
  • Advanced proficiency in analytical tools and programming languages such as Python, SQL, R, MATLAB, or Excel.
  • Bachelor's degree in Electrical Engineering, Power Systems Engineering, Energy Systems, Applied Mathematics, Statistics, or a related quantitative discipline.
Preferred Qualifications
  • Knowledge of resource adequacy practices within the Western Interconnection.
  • Previous experience working with a Western resource adequacy program, an ISO/RTO, an electric utility, or a similar organization.
  • Advanced degree in Electrical Engineering, Operations Research, Statistics, or a related field.
Benefits
  • Annual salary ranging from $175,325 to $199,225, depending on experience and qualifications.
  • Fully remote position open to candidates residing in the United States.
  • Employer-paid health, dental, vision, and life insurance.
  • Paid time off and 11 paid holidays.
  • Company-funded Health Reimbursement Arrangement (HRA).
  • 401(k) plan with a 6% employer match.
  • Discretionary profit-sharing contribution, budgeted at 7% of salary.
  • Flexible working schedule, with a preferred schedule of Monday to Friday, 8:00 a.m. to 5:00 p.m. Pacific Time; flexibility is available for other time zones.
  • Quarterly travel to the headquarters in Portland, Oregon, plus approximately six additional trips per year for stakeholder engagement and industry events.
How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?
Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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