11,137 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
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
Communication and data visualization skills
Preferred experience
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)
Experience with Tableau or other data visualization software
Qualification wording
20. 8+ years of relevant work experience with an electric utility, financial institution, energy supplier, renewable energy project developer, or energy-intensive consumer
21. 4+ years of direct people management experience, including managing a team through growth and change
22. Hands-on experience analyzing and interpreting energy usage data, electric tariffs, and wholesale energy market data
23. Experience owning forecasting or analytical models used in budgeting, capacity, or investment decisions
24. Experience building or materially scaling an analytical capability rather than inheriting an established one
26. Communication and data visualization skills
31. Experience with energy or commodity risk quantification: exposure measurement, probabilistic forecasting, scenario and stress analysis, or risk reporting
32. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
33. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
35. Experience with Tableau or other data visualization software
We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Pay
Higher than most similar jobs
$154K$226K
$197K–$271K against $154K–$226K, the middle half of what similar US postings state.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Time since we first saw it
Day 29
857
Similar jobs usually come down between day 8 and day 57.
Well past Meta’s usual: its jobs come down by about day 8.
From 9,264 similar postings that came down, and 324 of Meta’s. Coming down is not always a hire.
Meta is hiring
1000 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Excel
Tableau
Where the posting names them
42. Experience in international energy markets or regulatory environments
43. Experience with Python programming
**Public Compensation:**
38. 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
39. Experience with SQL and working directly with data warehouses or backend databases
40. Experience with renewable energy procurement, PPAs, or clean energy project analytics
24. Experience building or materially scaling an analytical capability rather than inheriting an established one
25. Advanced Excel skills and experience working with large data sets
26. Communication and data visualization skills
34. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
35. Experience with Tableau or other data visualization software
36. Experience overseeing a large energy portfolio including budgeting, forecasting, and data automation
Yes. We’ve followed 25 other Manager, Energy Analytics jobs there since October 2026. All 25 are still up.
HartfordStill up after 30 days, first seen Oct 14
SeattleStill up after 30 days, first seen Oct 14
San FranciscoStill up after 30 days, first seen Oct 14
MadisonStill up after 30 days, first seen Oct 14
RestonStill up after 30 days, first seen Oct 14
TallahasseeStill up after 30 days, first seen Oct 14
Santa FeStill up after 30 days, first seen Oct 14
Salt Lake CityStill up after 30 days, first seen Oct 14
This jobUp 30 days so far, first seen Oct 14
Oct 14Today
Large employers often post one title for several teams, so these can be separate openings.
About Meta
People
About 78,865 in 2025, up 6% from the year before.Annual report (SEC Form 10-K)
Company
Listed as META.
H-1B visas
3,530 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 3,792 people. The latest was filed May 22, 2026.State WARN notices
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
**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 (up to 30%)
**Minimum Qualifications:**
Minimum Qualifications:
20. 8+ years of relevant work experience with an electric utility, financial institution, energy supplier, renewable energy project developer, or energy-intensive consumer
21. 4+ years of direct people management experience, including managing a team through growth and change
22. Hands-on experience analyzing and interpreting energy usage data, electric tariffs, and wholesale energy market data
23. Experience owning forecasting or analytical models used in budgeting, capacity, or investment decisions
24. Experience building or materially scaling an analytical capability rather than inheriting an established one
25. Advanced Excel skills and experience working with large data sets
26. Communication and data visualization skills
27. experience developing narratives and communicating effectively with multiple stakeholders and leadership
28. Experience training, mentoring, and leading analytics professionals, and experience developing team members at different points in their career
29. Background establishing programmatic approaches to work, supporting teams, and developing cross-functional relationships
30. Experience prioritizing across competing stakeholder demands and communicating trade-offs
**Preferred Qualifications:**
Preferred Qualifications:
31. Experience with energy or commodity risk quantification: exposure measurement, probabilistic forecasting, scenario and stress analysis, or risk reporting
32. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
33. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
34. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
35. Experience with Tableau or other data visualization software
36. Experience overseeing a large energy portfolio including budgeting, forecasting, and data automation
37. Experience managing a distributed or multi-site team, or managing managers/team leads
38. 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
39. Experience with SQL and working directly with data warehouses or backend databases
40. Experience with renewable energy procurement, PPAs, or clean energy project analytics
41. Experience supporting large-scale infrastructure or data center growth
42. Experience in international energy markets or regulatory environments
43. Experience with Python programming
**Public Compensation:**
$197,000/year to $271,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.