New 
Senior Demand Planner
 Microsoft | |
 United States, Washington, Redmond | |
 Jan 03, 2025 | |
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OverviewMicrosoft's Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the infrastructure underlying this growth including AI! CSCP's vision is to empower customers to achieve more by delivering Cloud Capacity Differentiated at Scale. Our mission is to deliver capacity for all cloud services predictably through intelligent systems driven by continuous learning and a world class organization. The CSCP Organization is responsible for traditional supply chain functions such as Plan, Source, Make, Deliver, but also manages supportability (spares), decommissioning and disposition of Data center assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is comprised of a large global portfolio of more than 200 datacenters supporting services for more than 1 billion customers in over 90 countries worldwide. This role is part of AI Planning which is within the Microsoft Cloud Planning (MCP) organization in CSCP. AI Planning's mission is to drive AI planning excellence and innovative leadership to deliver scalable AI capacity. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Within AI Planning we embody and lead with these core Microsoft values daily.
ResponsibilitiesFor AI Planning Portfolio: Demonstrates a deep understanding of analysis, which can include quantitative and qualitative research methodologies, including the strengths, limitations, and applicability of each. Generates insights from multiple studies or sources, and interprets the business implications for stakeholders. Identifies opportunities to do additional in-depth analysis on specific business questions. Capacity Plan Develops a capacity order plan that meets customer needs, while maintaining compliance to supply and execution policies, through put capacities and contractual requirements.Continuous Improvement:Evaluates cross-functional supply-chain processes within their area of responsibility, recommends improvements to stakeholders, and delivers solutions to support these improvements. Demand Planning and Forecasts: Defines the plan or forecast and manages it for multiple services or areas, incorporates the business drivers into the plan (e.g., forecast, budget). Drives understanding of what is required to achieve plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment [CPFR], budget, engineering changes). Performs data analyses to identify trends, patterns, correlations, and insights to develop new forecasting models and improving existing models. Proactively identifies demand planning opportunities for improvement. Assists in the ongoing development and maintenance of demand planning processes and systems to improve forecasting accuracy. Documents and communicates demand forecast insights to stakeholders up to and including the executive level. Partners closely with Marketing, Finance, and/or Channel Operations to drive optimal short and long-term demand plans to achieve financial and operations targets. Finished goods inventory: Begins to design solutions independently to adjust to changes in demand after deployment and excessive finished goods. May collaborate with others on the reworking of finished goods. Addresses excess goods by beginning to repurpose such goods for components or more complex products. Lifecycle Management: Manages hardware and software roadmap. Launches through decommission plans and strategies (e.g., demand forecast, inventory, buffer). Design solutions toward managing them or request events to mitigate business risk.Machine Learning and Analysis: Collaborates to leverage data to identify pockets of opportunity to apply algorithms to improve solutions to a business problem.Uses statistical analysis tools to evaluate and leverage Machine Learning models for demand planning usage. Assists with the communication of insights under the direction of senior team members. Applies advanced analytics concepts towards rich insights and key financial and strategic decisions. Risk Management: Identifies, communicates, and actively mitigates capacity risk. Collaborates with the team to determine prioritization and criticality during demand or supply events (e.g., quality, hardware, reliability, execution delays). Manages risk to financial plans and margins. Contributes to creating the correct buffer and inventory strategy to manage risk.Embody our Culture and Values | |