Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in program or project management.

• 5 years of experience in resource planning.

• Experience in Python.

Preferred qualifications:

• PhD in Power Systems, Electrical Engineering, Computer Science, Operations Research, Economics, or related discipline.

• Experience in electricity markets across multiple regions globally.

• Experience in identifying potential risks in resource planning and developing mitigation strategies to ensure reliable and cost-effective energy supply.

• Experience coordinating with energy experts and non-experts, and leading projects requiring inputs from multiple teams through cross-functional collaboration.

• Experience in production cost modeling software applications (e.g., PLEXOS and PROMOD).

• Familiarity with a variety of RTOs and ISOs, understanding their market structures, rules, and regulatory environments.

As an Energy Modeling Technical Program Manager on the Portfolio Management team, you will lead individual strategic initiatives and projects and work with teams across the company in support of Google's global data center energy portfolio, including our efforts to reach 24/7 carbon-free energy and other clean energy objectives. In particular, You will focus on production cost modeling with the goal of creating long-term fundamental electricity price forecasts, and identifying constraints related to generation and transmission capacity, which is crucial for asset management and our data center energy supply strategy.

In this role, you will leverage the expertise and power systems modeling to simulate various scenarios that include capacity expansion, generation mix, transmission constraints, and other relevant factors which will lead to valuable insights and recommendations. You will support critical power supply decisions, ranging from operating strategies, hedging decisions, to long-term data center investment and resource planning decisions.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

• Perform production cost modeling to produce long-term fundamental electricity price forecasts.

• Provide strategic insights for our energy supply by conducting supply scenario analysis and transmission evaluation.

• Contribute to the selection and development of appropriate modeling assumptions used to run medium and long-term production cost models.

• Collect, analyze, and interpret data related to energy markets, load forecasting, generation capacity, and transmission constraints to inform energy supply planning decisions.

• Communicate and present complex topics to stakeholders.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.