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Senior Demand Forecasting Manager

United States, Redmond 116900.00 - 203600.00 USD / Year · Job Posted March 20, 2026
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Job Description

Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP’s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries. Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business. We are seeking an experienced Senior Demand Forecasting Manager to join our team!

Job Responsibility

  • Managing the rolling 12-week customer demand forecast for Azure Compute that directly drives compute cluster triggers across Azure regions and availability zones
  • The forecast is developed using a combination of live usage telemetry, backlog conversion trends, service launches, other inorganics, etc
  • Play a critical role in ensuring accurate regional and AZ level forecast signals to enable timely and efficient capacity delivery for both 1P and 3P workloads
  • Monitor forecast consumption versus plan, ensuring alignment with live usage, backlog, and customer onboarding trends
  • Report and explain weekly forecast deltas, identifying the drivers of change and associated financial and operational impacts
  • Identify regional demand risks and proactively surface mitigation options through alternate AZ or CPU family swaps
  • Partner to reconcile short-term consumption patterns with mid-term demand plans
  • Collaborate with analytics and tooling teams to automate data ingestion, validation, and visualization of 12-week forecast signals
  • Continuously improve forecast accuracy and bias metrics through model enhancements, new telemetry inputs, and process discipline
  • Support ad-hoc investigations for demand spikes, large customer onboarding, and cross-regional migrations

Requirements

  • Bachelor's Degree in Computer Science, Engineering, Supply Chain, Information Technology (IT), Business, Operations, Finance, Accounting, Data Science, or related field AND 6+ years supply chain, inventory management or sales operations experience, preferably in planning (demand/supply/forecasting), cloud industry experience, infrastructure, data science, and/or channel management experience OR equivalent experience
  • 4+ years of forecasting experience working with Product / Engineering Groups in Cloud / high tech supply chain
  • Experience with Advanced Data Modeling & Forecasting Analytics
  • Experience building and refining models (using SQL, Python, or R) that simulate capacity demand scenarios, quantify forecast error, and provide actionable insights to improve planning accuracy
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have

Proficiency in designing and implementing automation pipelines (e.g., Power BI) that integrate signals across S&OP and S&OE horizons, enabling real-time risk detection, variance tracking, and decision-making at scale

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