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Meta designs, builds, and operates some of the most innovative and efficient data centers in the world. Powering this infrastructure responsibly and cost-effectively requires deep expertise in energy markets, infrastructure development strategy, and portfolio-level planning. Meta is seeking an experienced Portfolio Strategy Analyst to join the Infrastructure Development and Construction team, focused on energy strategy across Meta's global data center portfolio. In this role, you will drive analytical frameworks and strategic insights that shape how Meta evaluates, develops, and optimizes energy supply and demand across its rapidly growing infrastructure footprint.
Job Responsibility
Develop and maintain portfolio-level energy strategy models that assess capital and operational cost implications of data center development decisions across multiple geographies
Analyze energy market structures, utility rate environments, and grid interconnection timelines to inform site selection and development sequencing decisions
Synthesize load forecasting data, capacity planning inputs, and energy procurement signals to produce integrated portfolio outlooks for infrastructure leadership
Identify strategic risks and opportunities across the data center development pipeline related to energy availability, grid constraints, and regulatory changes
Partner with Commercial Energy and Clean Energy teams to align the energy strategy with broader infrastructure development priorities
Build and support scalable analytical tools and dashboards to track portfolio-level energy metrics, development milestones, and cost performance against targets
Support scenario planning and sensitivity analyses for new market entry, capacity expansion, and energy transition initiatives
Collaborate with Finance and Infrastructure teams to evaluate the energy-related financial impacts of development decisions and support investment approvals
Communicate portfolio strategy findings and recommendations to cross-functional stakeholders and infrastructure leadership through structured written and verbal presentations
Requirements
6 years of experience in energy strategy, infrastructure development, or portfolio planning within the energy industry, large-scale data center development, or a related capital-intensive sector
Demonstrated ability to build integrated financial and market models that connect deal-level economics to portfolio-level outcomes
Experience analyzing energy market data, utility rate structures, grid interconnection processes, or power procurement frameworks in the context of large infrastructure portfolios
Hands-on experience with wholesale energy markets, including familiarity with pricing structures (LMPs, capacity markets, RECs, PPAs), basis risk, and forward curves
Experience building and maintaining complex financial or operational models to support strategic planning and investment decision-making
Experience working cross-functionally with Finance, Site Development, and Infrastructure teams to translate analytical outputs into actionable strategic recommendations
Experience in communicating complex energy or infrastructure concepts clearly in written and presentation formats to technical and non-technical audiences
Nice to have
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with data visualization tools to build portfolio tracking and reporting solutions
Experience supporting data center, hyperscale infrastructure, or large industrial energy strategy in a portfolio planning or development context
Experience with energy portfolio optimization or resource planning at scale (10+ gigawatts)
Familiarity with clean and renewable energy procurement structures, including power purchase agreements and renewable energy certificates, as they relate to large-scale infrastructure portfolios
Experience in building and presenting risk frameworks that quantify exposure across multiple dimensions (market, credit, volumetric, operational)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Proficiency in SQL, Python, or similar tools for large-scale data analysis and automation of analytical workflows