Senior Finance Manager - Cloud Infrastructure - Capacity Delivery & Automation

Microsoft•Redmond, WA

8d•$97,600 - $206,400

About The Position

Empower 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 talented, motivated, and technically curious individual 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 skilled 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.

Requirements

Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience.
Masters Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years of post-graduate financial analysis, accounting, controllership, or finance work experience OR Bachelor's degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ years of post-graduate financial analysis, accounting, controllership or finance work experience OR equivalent experience.
1+ year(s) experience in multinationals with multi-product/multi-segment finance roles.
1+ year(s) work experience in matrix-based organization.
1+ year(s) work experience in the technology or software industry.

Nice To Haves

Experience with Power BI, Microsoft Fabric, SQL, Python, Databricks, or similar analytics and data platforms.
Experience leveraging automation, AI, machine learning, Copilot, or modern business intelligence solutions to improve business processes.
Familiarity with cloud infrastructure, data center operations, supply chain execution, capacity management, or technology operations.
Passion for technology and desire to solve complex business problems through systems thinking, automation, and innovation.

Responsibilities

Drive End-to-End Capacity Execution: Partner across Capacity Planning, Supply Chain, Engineering, Cloud Operations, and Finance to improve infrastructure delivery execution.
Connect customer demand signals to supply availability, deployment progress, go-live readiness, and monetizable cloud capacity.
Identify execution bottlenecks, risks, and opportunities to accelerate capacity delivery and customer availability.
Support operating rhythms that improve predictability, accountability, and execution performance across the delivery lifecycle.
Build Data, Automation, and AI Solutions: Develop dashboards, analytical tools, and automation solutions that improve visibility into capacity execution and decision-making.
Partner with FD&E and engineering teams to build and maintain scalable data models, reporting platforms, and operational analytics.
Leverage AI and automation technologies to streamline manual processes, improve decision quality, and increase operational effectiveness.
Help define and improve data foundations that support infrastructure planning, delivery execution, and capacity monetization.
Deliver Strategic Insights: Analyze large-scale operational datasets spanning demand planning, supply execution, deployment readiness, and capacity utilization.
Develop scenario analyses and predictive insights that improve execution outcomes and leadership decisions.
Translate complex technical and operational data into clear, actionable recommendations for business leaders.
Surface risks, dependencies, and optimization opportunities across the infrastructure delivery process.