New 
Senior Demand Planner
 Microsoft | |
remote work
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 United States, Washington, Redmond | |
 Jan 22, 2025 | |
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OverviewIn alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Microsoft Cloud Operations and Innovation (CO+I) is the engine that powers our cloud services.Our infrastructure is comprised of a large global portfolio of more than one hundred datacenters and one million servers.Our foundation is built upon and managed by a team of subject matter experts, who work tirelessly to support digital services for more than one billion customers and twenty million businesses in over ninety countries worldwide. Within CO+I, the Core Datacenter Services (CDS) team is responsible for improving overall availability and efficiency for Microsoft's cloud business. We have multiple teams focused on both Microsoft and Lessor datacenter performance and all aspects of datacenter utilization effectiveness that includes power, water and labor. We are seeking a Senior Demand Planner to support the Operational Supply Chain across datacenters globally. This role will drive the demand forecast and plan across our critical environment supply chain. 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. This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ. Relocation support will be provided, and successful candidates will need to relocate or reside within 50 miles of the hub office location. This role is eligible for hybrid or remote work, up to 100%.
ResponsibilitiesDemand Planning and Forecasts: Oversees and directs the plan or forecast across the company for demand planning. Drives clarity and understanding of what is required to achieve plan (e.g., operational resources, collaborative planning, forecasting, and replenishment [CPFR], budget, engineering changes) and assists team members with potential issues. Oversees the analysis of data and leads team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improving existing models. Oversees development of short and long term (e.g., weekly, monthly, quarterly) demand forecasts and develops and publishes key forecast accuracy metrics; analyzes data to identify potential sources of forecasting error. Partners closely with Business Units, Finance, and/or Operations to drive optimal short and long-term demand plans to achieve financial and operations targets, and to gather requirements to build forecasting and decision support models to improve efficiency. Presents findings/insights regularly to forecasters, planners, stakeholders, and senior leadership.Capacity Planning: Leads capacity plan development and engagement, while impacting customer capacity availability and the bottom line cost. Leverages subject matter expertise to manage supply-demand match and mitigation plans for capacity gaps, as well as what-if scenarios to support decision making with a Service and a profit and loss (P&L) mindset. Engages and drives challenging decisions with Engineering. Contributes to plans and execution beyond one's area.Finished Goods Inventory: Leads the designing of solutions to adjust to changes in demand after deployment and excessive finished goods. Addresses excess goods by leading the repurposing of such goods for components or complex products and providing solutions to reduce future issues.Risk Management: Engages with senior leaders to difficult business decisions around risk mitigation or de-risk; makes tradeoff decisions. Drives the prioritization and criticality during demand or supply events (e.g., quality, hardware, reliability, execution delays). Manages risk to plans. Leads the creation of the correct buffer and inventory strategy to manage risk.Lifecycle Management: Manages hardware and software roadmap. Launches through decommission plans and strategies (e.g., demand forecast, inventory, buffer). Drives solutions to meet business goals.Independently defines and manages strategic implementation for both new and improved processes two to three years in advance.Leads collaboration among team and leverages data to identify pockets of opportunities to apply algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. | |