Finance Manager - AI Capacity Demand

Microsoft•Redmond, WA

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. 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.

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.

Nice To Haves

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.

Responsibilities

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).