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Senior Staff Cloud FinOps Analyst

ServiceNow · Santa Clara, CALIFORNIA · On-site

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About ServiceNow

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.

About the role

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.

What they're looking for

  • 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
More about this role

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.

  • 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...

Read the full posting on ServiceNow's site ↗

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