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Microsoft
NewEmpower every person and organization on the planet to achieve more. That is what inspires us, drives our work, and pushes us to challenge the status quo every day. Through our Cloud-first strategy, we strive to deliver solutions that are optimized for the world and enable customers to drive their business more successfully. The Microsoft Cloud Infrastructure Finance team is an exciting and fast-evolving finance team at the forefront of Microsoft’s Cloud-first and AI transformation.
As demand for cloud and AI services accelerates, delivering infrastructure capacity efficiently and converting it into customer-ready services is one of Microsoft’s most critical business priorities. The Cloud Capacity Delivery & Automation role sits at the center of this challenge, connecting customer demand signals to supply execution, server deployment, go-live readiness, and monetization. We are looking for a Finance Manager - Cloud Capacity Delivery & Automation who is passionate about data, automation, operational excellence, and shaping the future of Microsoft cloud products.
This is a role for a systems-oriented finance professional who can operate across Finance, Engineering, Supply Chain, Capacity Planning, and Cloud Operations. The ideal candidate should pair strong finance and business judgment with data fluency, automation mindset, and curiosity about AI infrastructure. The core mission is to drive visibility, automation, and execution excellence across the cloud infrastructure delivery lifecycle, accelerating the path from customer demand to monetizable capacity.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. We foster a culture of growth, innovation, collaboration, respect, integrity, and accountability where everyone can thrive.
Support Capacity Execution
Partner with Finance, Capacity Planning, Supply Chain, Engineering, and Cloud Operations stakeholders to track infrastructure delivery milestones and execution progress.
Help connect customer demand signals, supply availability, deployment progress, go-live readiness, and monetizable capacity through recurring reporting and analysis.
Identify variances, risks, blockers, and follow-up actions within defined workstreams, escalating issues with clear supporting data.
Build Reporting, Data, and Automation Solutions
Develop and maintain dashboards, reports, and analytical tools that improve visibility into capacity delivery and business performance.
Partner with FD&E, data, and engineering teams to improve data quality, reporting logic, and scalable analytical frameworks.
Use automation and AI-enabled tools to reduce manual reporting effort, streamline recurring processes, and improve reliability of insights.
Deliver Actionable Business Insights
Analyze operational and financial datasets related to demand planning, supply execution, deployment readiness, utilization, and monetization.
Prepare variance analysis, trend analysis, and scenario support to help business partners understand execution performance and tradeoffs.
Translate complex data into clear summaries, recommendations, and decision support for finance and business leaders.
Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership, finance, or related field OR equivalent experience.
Preferred Qualifications
Experience with Power BI, Excel, SQL, Microsoft Fabric, Python, Databricks, or similar analytics and data platforms.
Experience improving recurring reporting processes through automation, process design, or business intelligence tools.
Familiarity with cloud infrastructure, data center operations, supply chain execution, capacity management, or technology operations.
Interest in applying AI, Copilot, automation, and modern analytics to improve finance and operational decision-making.
Financial Analysis IC3 - The typical base pay range for this role across the U.S. is USD $77,800 - $153,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $102,200 - $169,900 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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