Finance Manager, Cloud AI

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<div class="isg-job-description“>OverviewEmpower every person and organization on the planet to achieve more. That’s what inspires us, motivates our work, and pushes us to challenge the status quo every day. Microsoft’s Integrated Business Planning (IBP) Finance team is perfectly placed to unlock maximum impact across Microsoft and our Customers. We are seeking a dynamic Finance Manager to meaningfully contribute to demand signal alignment, server fleet health, and server supply planning. If you thrive in fast-paced and ambiguous environments, are energized by finding and realizing value through data analysis, and enjoy contributing to meaningful business decisions, this is the role for you! We partner closely with Microsoft Cloud Planning, Azure Engineering, and many Microsoft Finance Teams. This role and team plays a critical role in connecting dots across Microsoft to ensure we deliver success to our customers and shareholders at the same time. Our Demand and Capacity Finance Team is chartered to match server demand to server supply, analyze fleet utilization health, and identify optimization levers that contribute to customer and business success. These efforts contribute to ensuring cloud services achieve revenue, margin, and profit growth. All while enhancing transparency into Cloud Infrastructure investments and safeguarding shareholder interest. 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.
ResponsibilitiesAnalyze Azure server fleet health across Azure workloads, identify improvement areas, and influence fleet to achieve target health utilization. Assess both peak and mean utilization. Analyze multi-bottleneck resource consumption for storage workloads and identify demand shaping scenarios to allow for improved server resource utilization. Extend server demand signal planning horizon to contribute to effective long-term hardware planning. Build replacement capacity scenario analysis as needed to influence optimal decommission planning. Analyze drivers for monthly Azure server rack plan for changes. Ensure rack plan fidelity and reasonableness. Partner with Azure Engineering Group and Workload Owners to validate changes and ensure proper server resource allocation. Analysis and modeling for strategic projects, new responsibilities, or ad hoc needs to unlock breadth of impact across team and partners. Embody Microsoft our culture and values.

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