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Apple Demand Strategy Lead Cloud Infrastructure Business Operations United States, California, Cupertino 806726042
Yesterday
With this data we propose and implement strategies for optimizing cloud and datacenter resource planning, including buffer assessments, inventory management, financial liability management, and supply chain risk mitigation. This role requires a strategic attitude, technical expertise in cloud infrastructure, and strong problem solving capabilities to optimize prioritization.
- Minimum of 7 years of experience in demand planning, infrastructure planning, cloud operations, supply chain, or a related field.
- Familiarity with hardware lifecycle management, including procurement, lead times, and supply chain constraints for servers, networking equipment, and storage.
- Strong experience with infrastructure financial modeling, TCO analysis, and cost optimization strategies for cloud and on-prem resources.
- Strong skills in Excel, including advanced modeling, VBA, and automation. Proficiency in data analysis and forecasting tools (e.g., Python, SQL, R, Power BI, Tableau).
- Experience with capacity modeling, demand forecasting, and scenario planning for large-scale infrastructure.
- Experience in long-range planning for infrastructure growth, including multi-year capacity projections and investment strategy.
- Shown ability to influence technical and non-technical customers, including engineering, finance, supply chain, and executive teams.
- Experience leading cross-functional planning processes, aligning partners on demand signals and infrastructure roadmaps.
- Prior experience presenting complex data and planning insights to executive leadership (VP-level and above) with clear, actionable recommendations.
- MBA or MS in Operations Research, Supply Chain, Data Science, Engineering or a related field.
- Deep understanding of cloud and datacenter infrastructure, including compute, storage, networking, virtualization, and hyperscale/cloud provider ecosystems.
- Experience with cloud capacity planning and forecasting methodologies for AWS, Azure, GCP, or private cloud environments.
- Experience with Cloud FinOps (financial operations), particularly cost forecasting and chargeback models.
- Familiarity with AI/ML-driven capacity planning and predictive analytics tools.
- Prior experience in a hyperscale cloud provider, data center operator, or large enterprise infrastructure planning team.
- Knowledge of operations research, statistical forecasting, or machine learning techniques for infrastructure planning.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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