Data Center Capacity Planner, Infrastructure Services
Summary
Imagine what you could do here. At Apple, new ideas have a way of quickly becoming great products, services, and customer experiences. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
We are seeking an analytical resource with data center experience to be a part of the Data Center Capacity Planning Strategy and Initiatives team. This team is responsible for providing centralized insight into data center physical infrastructure demand/supply, capacity readiness, and help identify opportunities for future Data Center builds. Additionally, this role is hyper focused on the Remote Data Center space and will assist in managing Apple leased data centers around the globe. This role will help do critical data analysis and create metrics and benchmarks to bring capacity planning into the future.
Description
This role serves as a strategic nexus across data center engineering, cloud platforms, and data center operations, ensuring the organization maintains a clear, forward looking view of infrastructure capacity needs and risks. As Data Center Capacity Planning becomes increasingly supported by automation and AI driven analytics, this role will focus on governance, strategic interpretation of capacity insights, and cross organizational alignment. The resource will help guide capacity planning discipline across teams, translate infrastructure demand into actionable investment priorities, and ensure data center physical infrastructure supports the company’s growth.
Responsibilities
- Build analysis to provide holistic view of infrastructure demand, capacity outlook, and long term scaling considerations across physical infrastructure.
- Consolidate and interpret infrastructure capacity insights from engineering and platform teams to inform leadership on data center capacity readiness, growth projections, and potential constraints.
- Oversee planning and coordination for physical data center infrastructure, ensuring data center physical capacity readiness is aligned with infrastructure growth and platform needs.
- Identify and communicate infrastructure capacity risks and readiness gaps, enabling proactive mitigation and supporting reliable data center scaling.
- Establish and track performance metrics for capacity planning, promoting consistent planning practices and operational discipline across teams.
- Drive the adoption of automation and AI driven analytics in data center capacity planning, ensuring the organization leverages advanced insights while maintaining strategic oversight.
- Lead cross functional collaboration and team development, partnering with engineering, cloud, data center, finance, and supply chain teams to align infrastructure capacity planning with business priorities.
- Develop and lead data center strategy development initiatives to solidify Apple’s long term data center strategy.
Minimum Qualifications
- BS/MS in a related discipline or equivalent hands-on industry experience.
- Experience in data center colocation operations and management, infrastructure operations, cloud platforms, capacity planning, or engineering program leadership
- Experience coordinating cross team planning initiatives in complex infrastructure environments
- Ability to translate infrastructure data and analytics into strategic insights for senior leadership
- Strong analytical, communication, and stakeholder management skills
Preferred Qualifications
- 3-5+ years of experience in infrastructure operations, cloud platforms, capacity planning, or engineering program leadership
- Strong understanding of AI/ML, compute infrastructure, cloud platforms, and large scale distributed systems
- Understanding of hybrid infrastructure environments spanning data center and cloud platforms
- Experience with infrastructure planning, capacity governance, or infrastructure strategy functions
- Experience working with infrastructure telemetry, observability platforms, or capacity analytics tools
- Exposure to AI driven analytics or automated infrastructure planning systems