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Microsoft

Group Finance Manager

Microsoft

Full-timeOn-sitePosted 6 October 2026
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Job description

Consumption Economics & Business Modeling Own financial modeling of AI, Copilot, and cloud consumption businesses. Develop and maintain end-to-end consumption economics frameworks linking product usage, revenue, COGS, margins, and infrastructure requirements. Evaluate economic implications of new products, pricing models , and monetization strategies. Partner with engineering and business leaders to understand key demand drivers and workload growth patterns. Develop multi-year scenarios evaluating growth, utilization, margin, and return-on-investment outcomes. Build driver-based forecasting models for AI, cloud, and consumption workloads. Develop best-case, base-case, and downside scenarios to support strategic decision making. Analyze demand signals, usage trends, customer adoption patterns, and infrastructure constraints. Prepare executive reviews, business updates, and long-range planning presentations. Present strategic recommendations to Finance and Engineering leadership. Translate complex technical and operational topics into actionable financial insights. Influence decisions through fact-based analysis and clear financial storytelling. Master'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 Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience. Experience leading teams and developing talent. Experience supporting cloud, AI, infrastructure, or technology businesses. Deep understanding of business economics, profitability analysis, and cost allocation methodologies. Experience working with large-scale data, reporting platforms, and financial automation. Ability to connect technical, operational, and financial drivers into clear business insights. Experience operating effectively in highly ambiguous and rapidly changing environments.

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