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Data Center Lease Portfolio Manager

Meta
New York, NY$197k–$271kPosted Jul 23, 2026
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Data Center Lease Portfolio Manager

Meta New York, NY

Data Center Lease Portfolio Manager

Meta New York, NY 3 days ago Be among the first 25 applicants

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Meta provided pay range

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$197,000.00/yr - $271,000.00/yr Meta's infrastructure underpins some of the world's most widely used platforms, and the data center lease portfolio that supports this infrastructure must be managed with precision, strategic foresight, and operational rigor. Meta is seeking an experienced Lease Portfolio Manager to join the Global Leasing organization, responsible for overseeing a large-scale, geographically distributed portfolio of data center lease agreements. In this role, you will drive portfolio-level strategy, manage complex contractual obligations, and ensure that leased capacity aligns with Meta's long-range infrastructure demand forecasts. You will serve as a critical link between real estate, finance, legal, and capacity planning teams to optimize lease structures, mitigate risk, and support Meta's global data center growth.

Data Center Lease Portfolio Manager Responsibilities:

  • Own and manage a global portfolio of data center lease agreements, tracking key contractual milestones, renewal options, termination rights, and financial obligations
  • Develop and maintain portfolio-level capacity models that align leased data center inventory with long-range infrastructure demand forecasts
  • Lead lease restructuring, renewal, and exit negotiations in coordination with legal, finance, and site selection teams
  • Identify and escalate portfolio risks related to capacity shortfalls, lease expirations, or contractual non-compliance, and drive resolution strategies
  • Build and maintain financial models to evaluate lease economics, including total cost of ownership, capital exposure, and scenario analysis across lease structures
  • Partner with capacity planning and infrastructure teams to translate compute and power demand signals into actionable lease portfolio decisions
  • Develop and enforce portfolio governance standards, including lease abstraction processes, data integrity protocols, and reporting cadences
  • Collaborate with legal and compliance teams to ensure lease agreements meet regulatory requirements across multiple jurisdictions
  • Produce executive-level reporting and portfolio dashboards that communicate capacity availability, financial commitments, and strategic risks
  • Evaluate market conditions, colocation provider landscapes, and emerging lease structures to inform long-term portfolio strategy

Minimum Qualifications:

  • Experience managing large-scale, multi-site data center lease portfolios across diverse geographies and lease structures (e.g., Modified Gross, NNN, Yield-on-Cost)
  • Experience developing financial models for lease transactions, including NPV analysis, capital exposure modeling, and sensitivity analysis
  • Experience collaborating across legal, finance, real estate, and infrastructure or capacity planning functions to drive portfolio decisions
  • Experience synthesizing complex contractual, financial, and operational data into executive-level communications and strategic recommendations

Preferred Qualifications:

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience integrating capacity demand forecasting methodologies with real estate portfolio planning in a hyperscale or large enterprise data center environment
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Familiarity with power procurement, critical infrastructure constraints, and their impact on lease site selection and portfolio strategy
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices in data analysis and decision-support contexts
  • Demonstrated ability to integrate AI tools to optimize portfolio reporting workflows and drive measurable efficiency or accuracy improvements

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 accommodations-ext@meta.com.

$197,000/year to $271,000/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.

  • Seniority level

    Not Applicable

  • Employment type

    Full-time

  • Job function

    Finance and Sales

  • Industries

    Technology, Information and Internet

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