Senior Finance Manager - Data Center Deal Modeling

Microsoft • Redmond, WA

20h

About The Position

Empower every person and organization on the planet to achieve more. That’s what inspires us, drives our work, and pushes us to challenge the status quo every day. Embracing our cloud-first strategy, we deliver solutions that are optimized for the world and enable customers to drive their business more successfully. Microsoft’s Commercial Product Infrastructure (CPI) team is an exciting and fast-evolving finance team at the forefront of Microsoft’s Cloud-first strategy. We are looking for a talented and motivated individual to help shape the future of our cloud products.
The Cloud Infra and Supply Execution (CISE) finance team is an exciting and fast-evolvingfinance team at the forefront of Microsoft’s Cloud-first strategy. The CISE finance team is responsible for supporting delivering cloud capacity at the right time, right place and right cost. We’re seeking a Senior Finance Manager to own deal modelling and end to end coverage for accelerated capacity asks.
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.

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.

Nice To Haves

• Demonstrated expertise in financial modeling (NPV/IRR, sensitivity, price/volume mix), forecasting, and scenario planning for capital intensive programs.
• Proven ability to partner across engineering, procurement, operations, influencing decisions with clear narratives and well structured analyses.
• Grasp of inventory/accounting mechanics (capitalization policies, carrying costs, write downs, controls) and portfolio governance.
• Advanced proficiency with Excel/Power BI (or similar), and the ability to connect disparate data sources into executive ready insights.

Responsibilities

• The role requires a high degree of agility and skill in navigating multiple stakeholder requirements while enabling the accelerated growth aspirations for the business in a highly competitive market environment. To be successful, the individual needs to be highly collaborative, self-motivated and be curious in learning.
• Own the definition, standardization, and governance of financial and infrastructure efficiency metrics across data center build execution, lease economics, and end to end Total Cost of Ownership (TCO).
• Develop and maintain robust internal and external benchmarks for construction cost, lease structures, infrastructure efficiency, and cost to build, enabling consistent comparison across regions and capacity pathways.
• Lead infrastructure efficiency analytics, identifying key cost drivers, performance variances, and systemic improvement opportunities across build and lease programs.
• Embed standardized metrics and benchmarks into core finance and execution rhythms (investment reviews, planning, forecasting, and build execution tracking) to drive consistent, data driven decisions.
• Partner with engineering, real estate, capacity planning, and delivery teams to align metric definitions, validate assumptions, and ensure metrics are operationally meaningful and decision relevant.
• Provide executive ready insights and recommendations that frame tradeoffs, highlight risks and opportunities, and support both baseline and accelerated capacity build and lease strategies.
• Embody our culture and values

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees