Head of Energy Risk Management and Grid Modeling

Design, develop, and execute frameworks to measure and mitigate risk across Google's global multi-gigawatt energy portfolio.Drive long-term electricity price forecasting using advanced grid modeling to simulate scenarios including capacity expansion, generation mix, and transmission constraints.Partner with procurement, operations, sustainability, and finance to integrate risk and pricing insights into agreement negotiations.Translate complex modeling and risk metrics into clear, actionable insights for executive decision-making.Manage, mentor, and grow a specialized team of quantitative analysts, grid modelers, and energy risk professionals.Minimum qualifications:Bachelor's degree in a technical field, or equivalent practical experience.10 years of experience in program management.7 years of experience in leadership roles with direct reports.Experience with Python.Experience with production cost modeling software applications such as PLEXOS or PROMOD.Experience with Regional Transmission Organizations (RTOs) and Transmission System Operators (TSOs), and their market structures, rules, and regulatory environments.Preferred qualifications:PhD in Power Systems, Electrical Engineering, Computer Science, Operations Research, Economics, or related disciplines.Experience in identifying potential risks in resource planning and developing mitigation strategies to ensure reliable and cost-effective energy supply.Experience in electricity markets across multiple regions globally.Experience coordinating with energy experts and non-experts alike; lead projects requiring inputs from multiple teams through excellent cross-functional collaboration.Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $333000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; New York, NY, USA; Sunnyvale, CA, USA.Bachelor's degree in a technical field, or equivalent practical experience.10 years of experience in program management.7 years of experience in leadership roles with direct reports.Experience with Python.Experience with production cost modeling software applications such as PLEXOS or PROMOD.Experience with Regional Transmission Organizations (RTOs) and Transmission System Operators (TSOs), and their market structures, rules, and regulatory environments.