Data Center Lease Portfolio Manager

Meta

$130K — $180K *
Real Estate & Construction
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 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
  • Experience developing financial models for lease transactions
  • Experience collaborating across legal, finance, real estate, and infrastructure or capacity planning functions
  • Experience synthesizing complex contractual, financial, and operational data into executive-level communications

Responsibilities

  • Own and manage a global portfolio of data center lease agreements
  • Develop and maintain portfolio-level capacity models
  • Lead lease restructuring, renewal, and exit negotiations
  • Identify and escalate portfolio risks and drive resolution strategies
  • Build and maintain financial models to evaluate lease economics
  • Partner with capacity planning and infrastructure teams for actionable lease decisions
  • Produce executive-level reporting and portfolio dashboards

Benefits

  • Professional development opportunities
  • Collaborative work environment
  • Access to advanced AI tools and technologies
  • Potential for flexible remote working arrangements
  • Comprehensive health benefits
Full Job Description
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
• 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

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

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