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About the Role

Meta is seeking an experienced Lease Portfolio Manager to oversee a large-scale, geographically distributed portfolio of data center lease agreements. This role drives portfolio-level strategy, manages complex contractual obligations, and ensures leased capacity aligns with Meta's infrastructure demand forecasts, acting as a critical link between various internal teams to optimize lease structures and mitigate risk.

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 aligning 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 communicating capacity availability, financial commitments, and strategic risks.
Evaluate market conditions, colocation provider landscapes, and emerging lease structures to inform long-term portfolio strategy.

Requirements

Bachelor's degree in a directly related field, or equivalent practical experience.
10+ years of experience in data center lease portfolio management, real estate asset management, or data center capacity planning.
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.
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.

Experience Level

10+ years of experience

Education Level

Bachelor's degree

Salary/Compensations

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

Benefits

bonus
equity
benefits

About the Company

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.