Consultant Load Forecasting - Strategy, Long Term Planning & Bus Performance - Akron FirstEnergy Headquarters

FirstEnergy at a Glance

We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers’ lives brighter, the environment better and our communities stronger.

FirstEnergy (NYSE: FE) is dedicated to safety, reliability, and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,500 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of 3,780 megawatts.

About the Opportunity

This is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp.  [SC00]

Consultant, Load Forecasting

The Consultant, Load Forecasting serves as a trusted enterprise advisor, providing leadership, technical expertise, and strategic insight into the evolving landscape of energy demand. The Consultant will shape long-term load forecasting frameworks, guide executive decision-making, support regulatory strategy, and lead high-impact analytical initiatives that influence the company’s future direction.

This position is ideal for a seasoned forecasting professional who brings deep analytical experience, strong external-facing communication skills, and the ability to steward complex, enterprise‑wide forecasting processes. The Consultant will also play a pivotal role in modernizing forecasting capabilities and developing talent across the organization.

Key Responsibilities

Enterprise Forecast Leadership

• Serve as the primary technical authority for enterprise customer, energy, and peak load forecasts, ensuring alignment across Finance, Regulatory Affairs, Operations, Rates, and Planning.
• Own and advance FirstEnergy’s long-term forecasting architecture, including scenario frameworks, governing assumptions, and methodological standards.
• Drive transparency, rigor, and cross-functional coordination in all forecasting outputs.

Regulatory Strategy & Stakeholder Engagement

• Provide expert-level support for rate cases, regulatory filings, and stakeholder proceedings.
• Prepare and defend forecasting analyses, ensuring clarity, defensibility, and alignment with regulatory expectations.
• Advise senior leaders on forecast risk, uncertainty, and strategic implications.

Scenario Modeling & Strategic Insights

• Lead enterprise scenario modeling related to electrification, DER and EV adoption, economic cycles, extreme weather patterns, and evolving customer classes.
• Translate complex analytical findings into clear, concise insights and narratives for senior leadership.
• Identify structural trends and emerging drivers that influence long-term energy demand.

Modernization & Innovation

• Lead initiatives to upgrade forecasting tools, datasets, automation processes, statistical methodologies, and machine learning integration.
• Promote innovation by identifying emerging industry best practices and recommending enhancements to improve forecast accuracy and usability.

Collaboration & Talent Development

• Partner with teams across Finance, Operations, Rates, Regulatory Affairs, and Strategy to ensure cohesive forecasting approaches and shared assumptions.
• Mentor and develop junior and mid-level analysts, elevating modeling rigor, communication skills, and domain expertise across the team.
• Foster a culture of teamwork, collaboration, safety, and continuous improvement.

Required Qualifications

Education & Experience

• Bachelor’s degree in Electrical Engineering, Mathematics, Statistics, Economics, Data Science, or a related quantitative field; a master’s degree is preferred but not required.
• Typically, 7 - 10 years of professional experience in load forecasting, energy analytics, utility planning, or related quantitative fields within the energy sector.
• Demonstrated experience contributing to or leading complex analytical projects; experience collaborating across functional teams in a regulated utility environment is a strong plus.

Technical Expertise

• Proficiency with statistical modeling and forecasting techniques (e.g., regression modeling, time‑series methods, econometric analysis, scenario modeling).
• Experience using analytical tools and programming languages such as Python, R, SAS, or similar platforms.
• Strong skills in data visualization and analysis using tools such as Power BI, Tableau, or similar.
• Ability to build, main