Senior Manager, Energy Forecasting & Advanced Analytics

Job Description Summary GE Vernova is modernizing its forecasting capabilities to improve the accuracy, efficiency, and strategic value of its power system outlooks. This role will lead the transformation of our forecasting models, tools, and analytics workflows. The incumbent will introduce state of the art energy modeling techniques, improved data processing methods, and AI-enabled approaches to augment expert judgment and reduce manual interventions. This leader will work alongside experienced power system and energy forecasting experts, complementing deep domain expertise with advanced modeling, data science, and AI capabilities to build a next generation forecasting capability. Roles and Responsibilities 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; balance model sophistication with explainability to ensure outputs remain decision-ready and trusted. 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; translate expert assumptions into structured, parameterized, and testable model components. 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 and methods to evaluate potential market disruptions, emerging opportunities, and structural shifts across the power sector. Required Qualifications 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. Desired Characteristics Demonstrated experience developing energy or power system forecast models (demand, supply mix, capacity expansion, policy scenarios, etc.). Strong proficiency in modern analytical tools and languages (e.g., Python, R, Julia, or similar). Experience moving analytical workflows beyond Excel into scalable modeling environments. Ability to work effectively with deep domain experts and translate between technical and economic perspectives. Strong communication skills to explain complex models and insights to senior stakeholders. Familiarity with energy policy analysis and regulatory driven forecasting. Experience with capacity expansion or power system optimization models. Prior work in energy consulting, system operators, utilities, or energy technology firms. Experience building or modernizing analytics capabilities in an enterprise setting. Experience in the power generation industry or related energy market analysis field. Passionate about using AI and emerging analytical tools to improve forecasting, productivity, and decision quality. Highly curious and inquisitive, self-directed continuous learner. Demonstrated ability to analyze and resolve complex problems. Demonstrated results in a highly dynamic environment with tight time constraints. Ability to distill complex issues into simple, clear messages. Ability to organize, prioritize, and manage multiple simultaneous projects with an appropriate sense of urgency. Strong attention to detail. Strong leadership, influence, and stakeholder management skills. Strong oral and written communication skills. Strong grasp of power industry technologies, landscape, and market trends. Strong project management skills with demonstrated ability to lead programs and cross-functional initiatives. Ability to translate AI and technical concepts into actionable business insights. Benefits GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. Relocation assistance is provided. Pay range for this position is between $147,900.00 and $246,300.00, with a geographic differential of 110%, 120% or 130% of salary in certain areas. Bonus eligibility: discretionary annual bonus. Benefits include medical, dental, vision, and prescription drug coverage; access to a health coach and an employee assistance program; retirement benefits through the GE Vernova Retirement Savings Plan with company matching contributions; tuition assistance; adoption assistance; paid parental leave; disability benefits; life insurance; 12 paid holidays; and permissive time off. Equal Opportunity Employer GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). #J-18808-Ljbffr