About the Role
Meta's Global Strategy & Development team seeks a Data Center Location Strategy Analyst to support long-term capacity planning and site selection for Meta's global data center portfolio. This role involves developing scenario analyses and optionality models to evaluate optimal locations for new data center capacities, directly influencing multi-billion dollar capital investment decisions. You will collaborate with various teams to create location frameworks that balance demand forecasts with supply constraints, ensuring Meta's infrastructure scales reliably to support billions of users.
Responsibilities
- Develop and maintain location strategy frameworks and analyses evaluating potential data center sites based on power availability, land cost, network connectivity, permitting risk, climate exposure, and labor market depth.
- Translate long-range capacity demand forecasts into geographic supply requirements, identifying regional gaps and prioritizing site development pipelines.
- Build quantitative models, scenario analyses, and optionality strategies to compare location alternatives across cost, risk, schedule, and strategic fit.
- Synthesize market intelligence on power grid infrastructure, utility interconnection timelines, renewable energy availability, and regulatory environments.
- Collaborate with real estate, energy, network, and cross-functional teams to assess site-specific feasibility constraints and incorporate findings into portfolio-level recommendations.
- Develop and maintain dashboards and reporting tools to track the health of the site development pipeline.
- Conduct portfolio health reviews and partner with finance and capacity planning teams to align location strategy outputs with financial models and investment plans.
- Identify emerging markets and geographies that meet Meta's data center siting criteria through proactive market assessments.
- Communicate location strategy recommendations and supporting analyses to stakeholders and leadership through written deliverables and presentations.
Requirements
- Bachelor's degree in a directly related field, or equivalent practical experience.
- 6+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, energy market analysis, or a closely related field.
- Experience building quantitative models to evaluate and compare infrastructure investment alternatives, including scenario analysis and sensitivity modeling.
- Experience synthesizing complex, multi-variable datasets spanning geographic, energy, regulatory, and financial dimensions to produce actionable strategic recommendations.
- Experience collaborating cross-functionally with real estate, energy, finance, or network teams to drive alignment on infrastructure planning decisions.
- Ability to source and utilize data, including data visualization, to communicate analytical findings and strategic recommendations to technical and non-technical stakeholders.
Skills
- Data center site selection
- Infrastructure capacity planning
- Real estate strategy
- Energy market analysis
- Quantitative modeling
- Scenario analysis
- Sensitivity modeling
- Data synthesis
- Geographic analysis
- Energy analysis
- Regulatory analysis
- Financial analysis
- Cross-functional collaboration
- Data visualization
- Data center industry experience
- Capacity delivery
- Scaling
- AI or automation tools integration
- Geospatial analysis tools
- GIS platforms
- Hyperscale data center design
- Construction timelines
- Power systems
- Utility interconnection processes
- Renewable energy procurement
- AI skill development
- Prompt engineering
- Context engineering
- Agent orchestration
- Responsible AI practices
- Risk assessment
- Bias mitigation
- Quality and accuracy reviews
Location
- Global
Work Type
- Full-time
Experience Level
- 6+ years
Education Level
- Bachelor's degree
Salary/Compensations
- $154,000/year to $200,000/year
Benefits
- Bonus
- Equity
About the Company
- Meta's Global Strategy & Development team supports the long-term capacity planning and site selection strategy that underpins Meta's global data center portfolio.
