Senior Manager, Energy Forecasting & Advanced Analytics

About the role

This role will lead the transformation of GE Vernova's 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.

Responsibilities

• Modernize legacy, spreadsheet-based, forecasting models into modular, scalable, and transparent platforms.
• In coordination with IT/AI/analytics groups, 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.
• 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.
• 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 5 years of experience in energy/power markets and forecasting or commensurate experience with a national lab/academia.
• Demonstrated experience applying AI, advanced analytics, data science, or quantitative methods in market analysis, forecasting, or decision support.

Qualifications

• 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 models/optimizers, production cost models/simulations, dispatch models, and/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.
• 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.

Skills

• 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 models/optimizers, production cost models/simulations, dispatch models, and/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.
• 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

• Medical, dental, vision, and prescription drug coverage.
• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
• Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling, and referral services.
• Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants.
• Tuition assistance.
• Adoption assistance.
• Paid parental leave.
• Disability benefits.
• Life insurance.
• 12 paid holidays.
• Permissive time off.

Pay

The starting salary range for this position is between $147,900.00 and $246,300.00. The Company pays a geographic differential of 110%, 120%, or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus.

Schedule

Full-time, permanent position.