Senior Staff Cloud FinOps Analyst

ServiceNow is seeking a highly experienced Senior Staff Cloud FinOps Analyst to lead enterprise-scale cloud financial optimization across AWS, Microsoft Azure, Google Cloud Platform, private infrastructure, and emerging AI services.

This is not a traditional cloud reporting role. The successful candidate will operate at the intersection of Engineering, Finance, Product, Capacity Planning, Procurement, and cloud service providers. They will transform complex cloud Cost & Usage data into actionable strategies that improve infrastructure efficiency, unit economics, commitment performance, and gross margin.

What you get to do in this role:

Governance and Accountability

• Work with Engineering, Finance, Product, and platform teams to agree on who owns what, at what granularity, and what each owner is accountable for. Partner with engineering teams to build the automation behind ownership and accountability: tagging and allocation enforcement, owner assignment, budget and threshold alerting, and routing of cost signals to the accountable team.
• Maintain the operating model for governance, including documented standards, a regular review cadence, and clear escalation paths when accountability breaks down. Track adherence to ownership and allocation standards, and close gaps where spend is unowned or misattributed.

Rate Optimization

• Develop and continuously improve ServiceNow’s multi-cloud rate optimization strategy. Manage Reserved Instances, Savings Plans, Committed Use Discounts, capacity reservations, and other provider-specific pricing instruments.
• Analyze consumption forecasts, contractual pricing, workload demand, coverage, utilization, expiration, break-even position, and stranded-commitment risk. Build scenarios that quantify expected savings, financial exposure, and forecast sensitivity. Partner with Finance, Procurement, Engineering, and cloud providers to execute and adjust commitment portfolios.

Savings Realization

• Build and manage an enterprise optimization pipeline covering rate, usage, waste, architecture, and operational efficiency. Quantify opportunity, implementation complexity, risk, confidence, and expected value.
• Establish consistent methodologies for measuring identified, accepted, implemented, and realized savings. Validate results against actual billing and usage data. Create executive scorecards covering opportunity value, accountable ownership, implementation progress, realized savings, and residual risk.

AI-Powered Cost & Usage Tooling

• Help shape ServiceNow’s homegrown, AI-powered FinOps Control Tower. Work with Data Engineering, FinOps Engineering, Business Intelligence, and Product teams to define requirements, analytical models, semantic definitions, and practitioner experiences.
• Develop AI-assisted capabilities for anomaly detection, forecasting, variance explanations, commitment analysis, optimization recommendations, and natural-language exploration of Cost & Usage data. Help create conformed multi-cloud datasets and interactive applications for showback, optimization, planning, executive reporting, and unit economics.

Cost Visibility and Leadership

• Develop allocation and unit-economic models and drive ownership visibility, and financial accountability.
• Serve as a trusted advisor to senior Engineering, Finance, Product, and Infrastructure leaders. Influence technical decisions, lead complex cross-functional initiatives, mentor FinOps practitioners, and translate detailed analysis into clear executive recommendations., We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
• 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.
• Candidates should bring extensive FinOps, cloud economics, infrastructure analytics, or technology-finance experience
• Strong AWS, Azure, and GCP pricing knowledge
• Advanced SQL, forecasting, and financial-modeling skills
• Demonstrated expertise in rate optimization, rightsizing, savings validation, and cloud unit economics.
• Experience building internal data products and applying AI to analytical workflows is strongly preferred.

For positions in this location, we offer a base pay of $165,500 - $289,600, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We’re building an AI-native culture where technology and talent are unstoppable together. And we’re just getting started.