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Senior Finance Manager - Cloud & AI Revenue Planning

United States, Redmond Employment contract 96500.00 - 188400.00 USD / Year · Job Posted May 17, 2026
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Job Description

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.

Job Responsibility

  • Lead long‑range business planning, market and competitive analyses, and investment evaluations in partnership with Engineering, Product, Marketing, and Finance stakeholders
  • act as a strategic catalyst for growth
  • Build and maintain scalable financial models and automated analyses to support decision‑making across Azure AI partnerships and initiatives
  • Develop business models and monetization frameworks
  • assess risks, opportunities, and tradeoffs to influence pricing, capacity planning, and go‑to‑market decisions
  • Partner with stakeholders to define key performance indicators and success metrics
  • translate insights into clear executive narratives that shape long‑term revenue and growth strategy
  • Ensure compliance with company policies, legal standards, and regulatory requirements by reviewing and monitoring accuracy of financial documents and business processes. Drives corrective measures. Consults with business partners on sharing financial information, approved instruments and processes, and consistency with corporate policies. Collaborates with Compliance groups to ensure team is current on company policies and procedures
  • Embody our culture and values.

Requirements

  • Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science, or related field AND 4+ years of post-graduate financial analysis, accounting, controllership, or finance work experience
  • OR Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science, or related field AND 2+ years of post-graduate financial analysis, accounting, controllership, or finance work experience
  • OR equivalent experience.

Nice to have

  • Cross group collaboration skills including the ability to comfortably communicate with executive management at Microsoft
  • Ability to effectively manage multiple inputs across many stakeholders, prioritizing the effort on main drivers
  • Ability to deal with ambiguity and uncertainty in a business that evolves at a very fast pace
  • Analytical and strategic thinker
  • Ability to identify opportunities for the business to and build and nurture relationships across finance and business partners to drive results and insights
  • Show propensity for learning, and demonstrate ability to identify, analyze, interpret, and deliver sound solutions
  • Executive level oral and written communication skills - ability to communicate complex analysis and models in a simple way
  • Highly proficient in Microsoft Excel and the ability to synthesize insights from large datasets.

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