Manager, Energy Analytics

Meta; Salt Lake City (UT); On-site; USD 160,000 - 260,000; Full time

Job summary

Meta is seeking a Manager of Energy Analytics to lead forecasting models and analytical frameworks for Meta's global data center portfolio. You will oversee a distributed team, set standards, and partner with Infrastructure and Finance leadership to drive capacity planning, budgeting, and rate design.

The role emphasizes building scalable data products, improving uncertainty analysis, and developing energy risk quantification capabilities across markets.

Qualifications

• Lead and grow a team of energy analysts spanning data center portfolio analytics and forecasting.
• Develop ICs and emerging team leads to scale the function.
• Establish career pathways, calibration practices, and succession depth.

Responsibilities

• Lead and grow a team of energy analysts spanning data center portfolio analytics, clean and renewable projects, cost and rate analysis, and load and generation forecasting.
• Own hiring, onboarding, capacity planning, and team structure as the function scales.
• Develop ICs and emerging team leads.
• Establish career pathways, calibration practices, and succession depth so the team's analytical capability is not concentrated in any single person.
• Lead with accountability, transparency, and recognition, promoting continuous improvement and learning across the team.
• Serve as an expert on energy rates and energy usage for Meta's growing global portfolio of data centers.
• Own development and continuous improvement of models to forecast energy usage, generation, and cost, and to analyze electric rate impacts for current and future data center sites.
• Set and enforce analytical standards across the team, covering methodology review, model documentation, version control, assumption governance, and QA of outputs used in financial and capacity decisions.
• Support analysis and strategy for development of new rate structures for current and future data center locations, including in new and emerging markets.
• Strengthen how the team characterizes uncertainty in its forecasts, moving beyond single point estimates toward ranges and scenario views that reflect price and volume variability, historical forecast error, and concentration by market, technology, and contract type.
• Help establish and scale an energy risk quantification capability within Energy Operations, building the systems that measure Meta's exposure to energy price and volume volatility and partnering with Finance to define the analytics and reporting cadence that surface material exposure shifts early.
• Build standardized tooling, data pipelines, and reporting that scale with the portfolio, reducing manual effort and streamlining communication of data and impact to the broader organization and leadership team
• Consolidate fragmented energy data across utility, market, and internal backend sources into durable, queryable data products with clear ownership
• Own the data controls and escalation paths that keep utility and market data reliable as transaction volume increases
• Lead development and delivery of monthly and annual summaries of key energy metrics to the Global Energy team, Infrastructure partners, Finance, and senior leadership
• Build strong partnerships with Infrastructure stakeholders to track data center design and capacity engineering trends, improve load forecasting methodologies, and support energy efficiency efforts
• Provide energy expertise to diverse internal teams and coordinate on relevant issues and requirements
• Represent energy analytics in cross-functional planning forums, translating analytical findings into clear recommendations and trade-offs for non-specialist audiences
• Refine processes, planning cycles, and reviews to support decision making, prioritization, and tracking of progress across key stakeholders
• Travel domestically and internationally as needed

Skills

Team leadership

Forecasting

Energy analytics

Data modeling

Stakeholder management

Tools

SQL

Python

Power BI

Job description

Summary:

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.

Required Skills:

Manager, Energy Analytics Responsibilities:

1. Lead and grow a team of energy analysts spanning data center portfolio analytics, clean and renewable projects, cost and rate analysis, and load and generation forecasting. Own hiring, onboarding, capacity planning, and team structure as the function scales

2. Develop ICs and emerging team leads

3. establish career pathways, calibration practices, and succession depth so the team's analytical capability is not concentrated in any single person

4. Lead with accountability, transparency, and recognition, promoting continuous improvement and learning across the team

5. Serve as an expert on energy rates and energy usage for Meta's growing global portfolio of data centers

6. Own development and continuous improvement of models to forecast energy usage, generation, and cost, and to analyze electric rate impacts for current and future data center sites

7. Set and enforce analytical standards across the team, covering methodology review, model documentation, version control, assumption governance, and QA of outputs used in financial and capacity decisions

8. Support analysis and strategy for development of new rate structures for current and future data center locations, including in new and emerging markets

9. Strengthen how the team characterizes uncertainty in its forecasts, moving beyond single point estimates toward ranges and scenario views that reflect price and volume variability, historical forecast error, and concentration by market, technology, and contract type

10. Help establish and scale an energy risk quantification capability within Energy Operations, building the systems that measure Meta's exposure to energy price and volume volatility and partnering with Finance to define the analytics and reporting cadence that surface material exposure shifts early

11. Build standardized tooling, data pipelines, and reporting that scale with the portfolio, reducing manual effort and streamlining communication of data and impact to the broader organization and leadership team

12. Consolidate fragmented energy data across utility, market, and internal backend sources into durable, queryable data products with clear ownership

13. Own the data controls and escalation paths that keep utility and market data reliable as transaction volume increases

14. Lead development and delivery of monthly and annual summaries of key energy metrics to the Global Energy team, Infrastructure partners, Finance, and senior leadership

15. Build strong partnerships with Infrastructure stakeholders to track data center design and capacity engineering trends, improve load forecasting methodologies, and support energy efficiency efforts

16. provide energy expertise to diverse internal teams and coordinate on relevant issues and requirements

17. Represent energy analytics in cross-functional planning forums, translating analytical findings into clear recommendations and trade-offs for non-specialist audiences

18. Refine processes, planning cycles, and reviews to support decision making, prioritization, and tracking of progress across key stakeholders

19. Travel domestically and internationally as needed