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Own the recurring reconciliation of usable power and spatial capacity across global data center clusters to ensure planning systems reflect physical floor reality.
Drive power over subscription and spatial release strategies to reclaim stranded floor spots and maximize the value of existing data center infrastructure.
Collaborate with partner teams through site-specific space, power, and network reservation constraints to unblock critical machine and network orders.
Serve as the technical sign-off on space, power, and cooling feasibility studies for high-density Machine Learning (ML) and networking deployments.
Collaborate closely with Data Center Fleet Efficiency, Capacity Planning, Power Engineering, Networking, Order Management, and Data Center Operations to align capacity policies and roadmaps.
Minimum qualifications
Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
Experience using data analysis or data center Infrastructure management tools to manage physical-to-logical inventory and power audits.
Experience with capacity planning within data center environments.
Preferred qualifications
2 years of experience managing cross-functional or cross-team projects.
Experience applying power oversubscription methodologies or capacity modeling specifically for cloud, machine learning (ML) or artificial intelligence (AI) infrastructure.
Experience deploying, integrating, or configuring spatial, power, or topology simulation tools to automate capacity planning.
Experience directing capacity clawbacks, reallocations, or floor reconfigurations to resolve space and power trade-offs across competing platforms and product area needs.
Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
Experience using data analysis or data center Infrastructure management tools to manage physical-to-logical inventory and power audits.
Experience with capacity planning within data center environments.
