Business Infrastructure Demand Planner

Join the Cloud Infrastructure Business Operations team where we serve as a critical bridge between cross-functional business partners. Our team ensures that Apples infrastructure capacity is planned forecasted and scaled to meet current and future demands an Infrastructure Demand Planner you will apply technical expertise in cloud and datacenter infrastructure alongside advanced analytical capabilities to optimize capacity planning and resource allocation. You will partner closely with engineering finance and supply chain teams to align demand forecasts with procurement and deployment strategies ensuring our infrastructure scales seamlessly to support future growth.

In this role you will:nnDevelop short mid and long-term forecasts for infrastructure resources (compute storage cloud resources and data center capacity) based on historical trends lines of business and stakeholder trade-offs between cloud and on-premise infrastructure optimizing performance cost and scalability for future and implement strategies for optimizing cloud and datacenter resource planning including buffer assessments inventory management financial liability management and supply chain risk with engineering finance and supply chain teams to align demand forecasts with procurement and deployment with senior leadership to review long-term infrastructure capacity plans and secure approvals for resource acquisition and scalable planning processes and automation frameworks to improve forecasting tools and reduce reliance on manual Excel-based AI/ML-driven capacity planning methodologies to enhance forecast accuracy and resource datacenter constraints such as power cooling and space availability to inform capacity expansion planning.n

Required: Bachelors degree in Business Operations Supply Chain Engineering Data Science or a related field.n7 to 10 years working in demand planning infrastructure planning cloud operations supply chain or a related understanding of cloud and datacenter infrastructure including compute storage networking virtualization and hyperscale/cloud provider in cloud capacity planning and forecasting methodologies for AWS Azure GCP or private cloud knowledge of hardware lifecycle management including procurement lead times and supply chain constraints for servers networking equipment and in infrastructure financial modeling Total Cost of Ownership (TCO) analysis and cost optimization strategies for cloud and on-premise skills using Excel for complex modeling VBA and automation alongside data analysis and forecasting tools (e.g. Python SQL R Power BI Tableau).nProven track record in capacity modeling demand forecasting and scenario planning for large-scale ability to apply operations research statistical forecasting or machine learning techniques to infrastructure in long-range planning for infrastructure growth including multi-year capacity projections and investment at influencing technical and non-technical stakeholders including engineering finance supply chain and executive in managing cross-functional planning processes and aligning stakeholders on demand signals and infrastructure of presenting complex data and planning insights to executive leadership (VP-level and above) with clear actionable of collaborating within large-scale matrixed organizations that require strategic alignment across multiple experience handling sensitive and confidential information with integrity and discretionnAbility to be onsite; this role is an in-person onsite to work nights and weekends as to 10% travel required both domestic and international.n

Masters degree in Operations Research Supply Chain Data Science Business Administration (MBA) or a related with Cloud FinOps (financial operations) particularly cost forecasting and chargeback of AI/ML-driven capacity planning and predictive analytics tenure at a hyperscale cloud provider data center operator or large enterprise infrastructure planning team.n