This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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. The Commercial Product Infrastructure (CPI) team is an exciting and fast-evolving finance team at the forefront of Microsoft’s cloud-first strategy. The Integrated Business Planning (IBP) team's charter is to build out and operate Microsoft’s cloud infrastructure while driving down unit cost of capacity, ensuring cloud services achieve gross margin growth and share expansion. As a crucial member of the team you’ll provide financial leadership supporting long-term, strategic GPU and Commercial Cloud initiatives across our worldwide fleet.
Job Responsibility:
Aggregate and normalize demand signals across AI properties, platforms, and internal consumers
Identify trends, seasonality, anomalies, and leading indicators in AI usage and capacity demand
Produce standardized demand views and reporting for LT and senior stakeholders
Translate complex demand data into clear, executive-ready insights and narratives
Support real-time or near–real-time dashboards for decision-making during capacity constraints or demand spikes
Partner with finance, capacity planning, and engineering teams to ensure consistent definitions and demand assumptions
Maintain data pipelines and datasets used for demand analysis and reporting
Improve data quality, automation, and scalability of demand forecasting processes
Work closely with GPU strategy, finance, and AI platform teams to align demand forecasts with supply plans and allocation decisions
Serve as a central point of contact for AI demand-related questions, analyses, and adhoc requests
Support scenario modeling (e.g., “what-if” demand changes, prioritization tradeoffs)
Requirements:
Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership, finance, or related field OR equivalent experience
1–3 years of experience in analytics, forecasting, planning, or a related role (internships and rotations included)
Proven analytical and quantitative skills with experience working on large datasets
Proficiency in Excel and at least one of: SQL, Python, R, or Power BI
Ability to clearly communicate insights to both technical and non-technical audiences
Exposure to capacity demand forecasting, capacity planning, or supply/demand modeling
Familiarity with cloud infrastructure, AI workloads, or GPU-based compute environments
Experience building dashboards or executive-facing reporting
Understanding of financial planning, cost drivers, or utilization metrics
Comfort working in ambiguous, fast-moving environments