Senior Cloud FinOps Analyst

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Job Description ## About the Role Service Now  is hiring a Senior Staff Cloud Fin Ops Analyst to lead cloud financial optimization across AWS, Microsoft Azure, Google Cloud Platform, private infrastructure, and emerging AI services. The role sits at the intersection of Engineering, Finance, Product, Capacity Planning, Procurement, and cloud providers, with a focus on improving infrastructure efficiency, unit economics, commitment performance, and gross margin.

This position is intended to go beyond standard cloud reporting. It requires turning complex cost and usage data into practical actions that improve financial accountability, support decision-making, and strengthen optimization outcomes across the enterprise.

The role also contributes to Service Now’s AI-powered Fin Ops Control Tower by helping define analytical models, practitioner workflows, and AI-assisted capabilities for cloud cost analysis and planning.##

Key Responsibilities – Lead governance models for cloud ownership, allocation, accountability, and escalation.  – Partner with engineering teams to strengthen tagging, owner assignment, budget alerts, and cost-signal routing.  – Track compliance with ownership and allocation standards and close gaps where spend is unowned or misattributed.  – Develop and improve multi-cloud rate optimization strategies across major cloud providers.  – Manage Reserved Instances, Savings Plans, Committed Use Discounts, capacity reservations, and similar pricing instruments.  

– Analyze forecasts, pricing terms, workload demand, coverage, utilization, expiration, break-even position, and stranded commitment risk.  – Build scenarios that quantify savings, financial exposure, and forecast sensitivity.  – Partner with Finance, Procurement, Engineering, and cloud providers to manage commitment portfolios.  – Build and manage an optimization pipeline covering rate, usage, waste, architecture, and operational efficiency.  – Measure identified, accepted, implemented, and realized savings using consistent methodologies.  

– Validate savings against billing and usage data.  – Create executive scorecards covering opportunity value, ownership, implementation progress, realized savings, and residual risk.  – Contribute to the design of AI-powered Fin Ops tooling and user experiences.  – Define requirements, analytical models, semantic definitions, and practitioner experiences with Data Engineering, Fin Ops Engineering, Business Intelligence, and Product teams.  – Help develop AI-assisted capabilities for anomaly detection, forecasting, variance explanations, commitment analysis, optimization recommendations, and natural-language exploration of cost and usage data.  

– Support conformed multi-cloud datasets and interactive applications for showback, optimization, planning, executive reporting, and unit economics.  – Develop allocation and unit-economic models and improve ownership visibility and financial accountability.  – Advise senior Engineering, Finance, Product, and Infrastructure leaders.  – Lead cross-functional initiatives, mentor Fin Ops practitioners, and present analytical findings as clear executive recommendations.## Required Skills– 12+ years of related experience with a Bachelor’s degree, or 8+ years with a Master’s degree, or a PhD with 5+ years of experience, or equivalent experience.  

– Experience applying AI to work processes, decision-making, problem-solving, automation, or analytical workflows.  – Extensive experience in Fin Ops, cloud economics, infrastructure analytics, or technology-finance.  – Strong pricing knowledge across AWS, Azure, and GCP.  – Advanced SQL skills.  – Strong forecasting skills.  – Strong financial modeling skills.  – Demonstrated expertise in rate…