Description

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.

Portfolio Strategy Analyst, Data Center Energy Responsibilities:

• 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

Minimum Qualifications:

• 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
• 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

Preferred Qualifications:

• 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
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 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)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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 [email protected].

$132,000/year to $188,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.