Senior Manager, Energy Forecasting – Advanced Analytics

Role Overview

• Modernize legacy, spreadsheet-based, forecasting models into modular, scalable, and transparent platforms.
• Reduce manual data preparation and handling through automation, more efficient data processing, standardized inputs, and AI-assisted workflows.
• Improve forecast accuracy and enable scenario functionality through the development and ownership of a modern forecasting platform.
• Build credibility and trust by enabling increased transparency and assumption sharing between forecasting domain experts and internal stakeholders/customers.
• Evaluate and introduce best in class energy modeling tools, programming languages, and frameworks appropriate for power system forecasting.
• Define data requirements, pipelines, and governance needed to support advanced forecasting.
• Partner with IT, digital, and analytics teams to align platforms, tools, and security requirements.
• Work closely with power system forecasting and policy experts to integrate domain logic into modern models.
• Enable experts to focus on insight generation rather than manual model execution.
• Apply AI, advanced analytics, and quantitative methods to improve forecasting processes, generate insights more efficiently, and enhance the accuracy and consistency of market assessments.
• Develop automated methods for evaluating, summarizing, and synthesizing third-party reports on global power markets and industry trends affecting generation and capacity additions by technology and fuel.
• Maintain awareness of and develop tools & methods to evaluate potential market disruptions, emerging opportunities, and structural shifts across the power sector.

Requirements

• Bachelor's degree in Engineering, Business, Economics, Data Science, or a related field from an accredited university or college
• At least 8 years of experience in energy/power markets and forecasting
• Demonstrated experience applying AI, advanced analytics, data science, or quantitative methods in market analysis, forecasting, or decision support
• Experience leading, coordinating, or contributing to complex analytical, technical, or technology-enabled projects
• Strong proficiency in modern analytical tools and languages (e.g., Python, R, Julia, or similar)
• Ability to work effectively with deep domain experts and translate between technical and economic perspectives
• Familiarity with energy policy analysis and regulatory driven forecasting
• Experience with capacity expansion or power system optimization models
• Experience in the power generation industry or related energy market analysis field

Tech Stack

• Python

Benefits

• Medical
• Dental
• Vision
• Prescription drug coverage
• Access to Health Coach from GE Vernova
• 24/7 nurse-based resource
• Access to Employee Assistance Program
• Tuition assistance
• Adoption assistance
• Paid parental leave
• Disability benefits
• Life insurance
• 12 paid holidays
• Permissive time off