Senior Finance Manager - Cloud & AI Revenue Planning
Microsoft · Redmond, WA · Financial Analysis
About this role
Microsoft is hiring a senior-level Financial Analyst in the finance function based in Redmond, WA. The posting calls out experience with Azure. Compensation is listed at $96,500–$188,400 per year.
- Role
- Financial Analyst
- Function
- finance
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Redmond, WA
- Department
- Financial Analysis
- Posted
- May 14, 2026
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Job description
from Microsoft careersWho are we?
Cloud and Artificial Intelligence (C+AI) is the fastest-growing business in Microsoft’s history, with Azure delivering multi‑billion‑dollar annual revenue growth. This is a pivotal moment for the business as AI fundamentally reshapes how customers build, deploy, and scale technology.
Our team sits at the center of this transformation, leading long‑term revenue planning, investment strategy, and strategic analysis for Azure AI. We partner closely with Engineering, Product, Sales, Marketing, Business Planning, and Business Development to shape business models, evaluate tradeoffs, and influence executive decision‑making through data‑driven insights and clear financial storytelling.
We are hiring a Senior Finance Manager to play a critical role in shaping Azure AI’s business models, investment decisions, and future roadmap. This role operates at the intersection of strategy, finance, and product, partnering closely with senior leaders across Engineering, Product, Sales, Marketing, and Finance.
This opportunity is best suited for candidates with strong strategic and analytical rigor, experience with complex problem‑solving, financial judgment, and executive influence. Success requires comfort with ambiguity, the ability to structure complex, open‑ended questions, and confidence engaging in executive‑level discussions.
You will thrive in this role if you enjoy acting as a strategic thought partner, building business cases from first principles, and translating complex analysis into clear, actionable recommendations.