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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.
Job Responsibility:
Buffer target planning & optimization: Lead monthly planning cycles to generate and publish optimal buffer targets by executing planning models, conducting analysis, providing explanations to stakeholders to build an alignment, and implementing changes to improve buffer plan
Buffer planning continuous improvement: Drive continuous improvement of buffer planning models and processes by partnering with cross-functional teams, such as Server Planning, Engineering Group, Finance and Data Science, to align on evolving business needs and deliver scalable, data-driven solutions
Addressing capacity risks and opportunities: Assess the current buffer planning process and mechanism, identify limitations and gaps in relation to the growing business complexity, and develop interim and long-term solutions to mitigate business risks
Business requirements & alignment: Engage with key stakeholders including Capacity Planning, Engineering Group, Supply Chain and Finance, to understand new business requirements, develop and communicate solution options, and build cross-functional consensus for plans addressing those requirements
Buffer Planning Model enhancement: Partner with Data Science team and beyond, to improve the buffer planning model for continuous improvement for optimization as well as to address the new business complexity
Metrics development & control: Develop metrics to measure the effectiveness of buffer planning, conduct data analysis to identify risks and opportunities, communicate and share business intelligence with key stakeholders including leadership, and implement solutions to manage buffering levels
Business Intelligence generation & decision support: Support various buffer-related inquiries from leadership and stakeholders to navigate the business decision-making, by running what-if simulations and providing clear explanations
Requirements:
Bachelor's Degree in Computer Science, Engineering, Supply Chain, Information Technology (IT), Business, Operations, Finance, Accounting, Data Science, or related field AND 4+ 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
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:
Data Analysis and Visualization skills (SQL, Python, R, Power BI, Power Pivot, etc.)
Program management skillsets with ability to manage multiple projects simultaneously
Experience in Finance to communicate the plan change in CapEx impact
Experience and proficiency in effective communication across multiple leadership levels of an organization
Ability to work in an ambiguous and fast-moving environment