Head of Energy Risk Management and Grid Modeling

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 - $334000 (USD) + 25% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

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.