Experience: 10+ years
As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company's largest and most complex cost center ( Compute & Infrastructure ).
You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty.
- Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments.
- Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning)
- Coordinate closely with Corporate FP&A on timelines and process
- Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs.
- Develop frameworks for investment trade-offs to guide executive decision making.
- Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics.
- Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer).
- Lead budget vs. actual analysis for compute and infrastructure spend.
- Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance.
- Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs CapEx).
- Translate complex infrastructure costs into clear insights for leadership.
- Build scenario models to support leadership decisions on capacity scaling, new model launches, and infrastructure investments.
- 10+ years in strategic finance, with experience in infrastructure, cloud, hardware, or compute-intensive environments
- Must have experience running an FP&A team at the corporate level or business unit level with significant scale.
- Strong financial modeling skills, particularly in capacity planning, unit economics, and scenario analysis under uncertainty.
- Experience supporting large-scale infrastructure or cloud spend (e.g., AWS/GCP/Azure, GPUs, data centers).
- Ability to translate technical concepts (compute usage, model training/inference, system architecture) into financial insights.
- Proficiency in Excel/Sheets, SQL, and BI tools (e.g., Tableau); experience with planning systems like Anaplan is a plus.
- Strong cross-functional partnership skills, especially with Engineering, Product, and Supply Chain.
- Familiarity with AI/ML infrastructure cost drivers and the economics of training and serving models.
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