Find & Apply For Energy Analyst / Auditor Jobs in Menlo Park, California

Meta's Infrastructure organization is seeking a Manager to lead energy analytics strategy for our global data center portfolio. As power demand grows by an order of magnitude over the coming years, energy cost and usage become increasingly material drivers of Meta's financial performance. In this role, you will lead a growing, geographically distributed team of experienced analysts responsible for developing the forecasting models and analytical frameworks that inform capacity planning, budgeting, procurement strategy, and rate design across Meta's data center infrastructure. As the portfolio continues to scale, this role carries increased ownership: setting standards across the team, developing experienced individual contributors and emerging leads, and serving as a primary energy analytics partner to Infrastructure and Finance leadership. You will also build the systems that quantify the portfolio's exposure to energy price and volume volatility across markets.

Qualifications:

8+ years of relevant work experience with an electric utility, financial institution, energy supplier, renewable energy project developer, or energy-intensive consumer 4+ years of direct people management experience, including managing a team through growth and change Hands-on experience analyzing and interpreting energy usage data, electric tariffs, and wholesale energy market data Experience owning forecasting or analytical models used in budgeting, capacity, or investment decisions Experience building or materially scaling an analytical capability rather than inheriting an established one Advanced Excel skills and experience working with large data sets Communication and data visualization skills; experience developing narratives and communicating effectively with multiple stakeholders and leadership Experience training, mentoring, and leading analytics professionals, and experience developing team members at different points in their career Background establishing programmatic approaches to work, supporting teams, and developing cross-functional relationships Experience prioritizing across competing stakeholder demands and communicating trade-offs Experience with energy or commodity risk quantification: exposure measurement, probabilistic forecasting, scenario and stress analysis, or risk reporting Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with Tableau or other data visualization software Experience overseeing a large energy portfolio including budgeting, forecasting, and data automation Experience managing a distributed or multi-site team, or managing managers/team leads Experience integrating AI tooling to redesign analytical workflows with measurable impact, including prompt and context engineering or agent orchestration, and developing models that bridge fragmented energy data across backend databases Experience with SQL and working directly with data warehouses or backend databases Experience with renewable energy procurement, PPAs, or clean energy project analytics Experience supporting large-scale infrastructure or data center growth Experience in international energy markets or regulatory environments Experience with Python programming