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

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