CloudFinOpsAnalyst

Your Impact This role manages and optimizes cloud expenses within the Engineering organization, focusing on AWS infrastructure, Snowflake data platforms, and OpenAI/Anthropic API utilization. The analyst tracks consumption data, creates financial models, and collaborates with engineering teams to build cost-efficient systems. What You'll Do GenAI Cost Modeling: Build and manage cost models tracking spend across OpenAI and Anthropic, breaking down costs by application, prompt/response tokens, and model types. Snowflake Resource Management: Audit Snowflake utilization to optimize virtual warehouse sizing, auto-suspend settings, and data storage lifecycles. Vendor Contract Optimization: Track utilization trends to assist leadership in evaluating capacity purchases and pricing models for specialized vendors. AWS Cost Optimization: Monitor AWS consumption and propose optimization strategies, including infrastructure rightsizing and managing Savings Plans and Reserved Instances. Anomaly Detection: Build real-time alerting systems to identify spending spikes. Tagging & Policy Enforcement: Develop and implement cloud governance guidelines and tagging policies to ensure accurate expense allocation across engineering teams. Reporting & Dashboards: Create and maintain financial reports, variance analyses, and dashboards using QuickSight to communicate expense trends to stakeholders. Budgeting & Forecasting: Develop data-driven forecasts and annual budgets for cloud and AI expenses based on engineering product roadmaps. Cross-Functional Alignment: Coordinate with engineering, data, and finance teams to negotiate vendor pricing and align technical operations with budget guidelines. Who You Are A minimum of 6–7 years of professional experience in cloud financial management, technology systems analysis, or engineering operations Platform Knowledge: Understanding of Snowflake credit structures and LLM pricing metrics (input/output tokens, context windows). AWS Infrastructure: Knowl