Job Details
Data Center Location Strategy Manager
**Summary:**
Meta designs, builds, and operates some of the most advanced data center infrastructure in the world, powering the AI and connectivity products used by billions of people globally. Meta is seeking a Data Center Location Strategy Manager to lead the long-term site selection and geographic portfolio strategy that underpins Meta's global infrastructure expansion. This role carries principal-level responsibility for defining where Meta builds, leases, and invests in data center capacity, with direct influence on multi-billion-dollar infrastructure decisions. The Data Center Location Strategy Manager will synthesize power availability, land use, regulatory environments, network topology, climate risk, and geopolitical factors into actionable location strategies that align with Meta's AI and capacity growth objectives.
**Required Skills:**
Data Center Location Strategy Manager Responsibilities:
1. Define and own Meta's multi-year data center location strategy, establishing the geographic framework that guides site selection decisions across owned, leased, and colocation capacity globally
2. Lead quantitative and qualitative site evaluation processes, integrating power grid capacity, renewable energy availability, land entitlement risk, water resources, seismic and climate risk, and total cost of ownership into location scoring models
3. Partner with capacity planning, site selection & development, energy, network infrastructure, and policy teams to align location strategy with long-range capacity forecasts and AI infrastructure requirements
4. Present location strategy recommendations and portfolio trade-off analyses to executive leadership, translating complex geospatial and infrastructure data into clear strategic narratives
5. Lead cross-functional due diligence for new market entry, coordinating with legal, environmental, government affairs, and construction teams to assess feasibility and risk for prospective sites
6. Establish frameworks for evaluating emerging markets and non-traditional geographies, including offshore, edge, and distributed compute locations, to support evolving AI workload distribution needs
7. Drive commercial solutions through creative deal and option analysis and direct negotiations with external vendors and partners
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in a directly related field, or equivalent practical experience
9. 12+ years of experience in data center site selection, infrastructure location strategy, real estate development, or energy infrastructure planning
10. Experience leading multi-market or global location strategy programs for large-scale data center or critical infrastructure portfolios
11. Experience synthesizing power infrastructure, land use, regulatory, and climate risk data into executive-level location recommendations
12. Experience influencing capital investment decisions through written strategy documents, financial models, and executive presentations
13. Experience working cross-functionally with real estate, energy, legal, government affairs, and engineering teams on complex infrastructure development programs
**Preferred Qualifications:**
Preferred Qualifications:
14. Experience with geospatial analysis platforms and site evaluation tooling applied to data center or utility infrastructure planning
15. Familiarity with power purchase agreements, utility interconnection processes, and renewable energy procurement as they relate to data center site viability
16. Experience evaluating data center markets across multiple international regions, including navigating varying regulatory and permitting environments
17. Background in capacity planning or long-range infrastructure forecasting for hyperscale or AI-focused compute environments
18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
19. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
**Public Compensation:**
$202,000/year to $273,000/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.
Meta designs, builds, and operates some of the most advanced data center infrastructure in the world, powering the AI and connectivity products used by billions of people globally. Meta is seeking a Data Center Location Strategy Manager to lead the long-term site selection and geographic portfolio strategy that underpins Meta's global infrastructure expansion. This role carries principal-level responsibility for defining where Meta builds, leases, and invests in data center capacity, with direct influence on multi-billion-dollar infrastructure decisions. The Data Center Location Strategy Manager will synthesize power availability, land use, regulatory environments, network topology, climate risk, and geopolitical factors into actionable location strategies that align with Meta's AI and capacity growth objectives.
**Required Skills:**
Data Center Location Strategy Manager Responsibilities:
1. Define and own Meta's multi-year data center location strategy, establishing the geographic framework that guides site selection decisions across owned, leased, and colocation capacity globally
2. Lead quantitative and qualitative site evaluation processes, integrating power grid capacity, renewable energy availability, land entitlement risk, water resources, seismic and climate risk, and total cost of ownership into location scoring models
3. Partner with capacity planning, site selection & development, energy, network infrastructure, and policy teams to align location strategy with long-range capacity forecasts and AI infrastructure requirements
4. Present location strategy recommendations and portfolio trade-off analyses to executive leadership, translating complex geospatial and infrastructure data into clear strategic narratives
5. Lead cross-functional due diligence for new market entry, coordinating with legal, environmental, government affairs, and construction teams to assess feasibility and risk for prospective sites
6. Establish frameworks for evaluating emerging markets and non-traditional geographies, including offshore, edge, and distributed compute locations, to support evolving AI workload distribution needs
7. Drive commercial solutions through creative deal and option analysis and direct negotiations with external vendors and partners
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in a directly related field, or equivalent practical experience
9. 12+ years of experience in data center site selection, infrastructure location strategy, real estate development, or energy infrastructure planning
10. Experience leading multi-market or global location strategy programs for large-scale data center or critical infrastructure portfolios
11. Experience synthesizing power infrastructure, land use, regulatory, and climate risk data into executive-level location recommendations
12. Experience influencing capital investment decisions through written strategy documents, financial models, and executive presentations
13. Experience working cross-functionally with real estate, energy, legal, government affairs, and engineering teams on complex infrastructure development programs
**Preferred Qualifications:**
Preferred Qualifications:
14. Experience with geospatial analysis platforms and site evaluation tooling applied to data center or utility infrastructure planning
15. Familiarity with power purchase agreements, utility interconnection processes, and renewable energy procurement as they relate to data center site viability
16. Experience evaluating data center markets across multiple international regions, including navigating varying regulatory and permitting environments
17. Background in capacity planning or long-range infrastructure forecasting for hyperscale or AI-focused compute environments
18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
19. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
**Public Compensation:**
$202,000/year to $273,000/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.
Job #NLX290271349