Team Join FinOps Governance team that is part of the Global Cloud Services organization. You’ll apply your expertise in AI cost management and data-driven optimization to lead programs that bring accountability and control to ServiceNow’s AI investments. Working closely with engineering teams building AI-powered skills and experiences, cloud finance leadership, and provider relationships with Azure, AWS, GCP, Anthropic and OpenAI, you’ll be the connective tissue between technical usage and financial discipline. About the role We are looking for a Staff FinOps AI Governance Lead to drive financial accountability and optimization across ServiceNow’s AI spend. This senior individual contributor role combines deep AI infrastructure literacy, data-driven governance, and cross-functional program leadership to ensure our AI investments are managed with the same rigor as our cloud infrastructure. The ideal candidate understands the economics of LLMs as well as they understand engineering and will thrive operating independently while engaging VP-level stakeholders with confidence and clarity. What you get to do in this role:Define, track, and systematically review AI cost and usage KPIs; identify anomalies and outliers that signal potential waste, misuse, or optimization opportunities. Design and operate an anomaly detection framework to surface suspiciously high AI usage across models and skill teams, and engage engineering collaboratively to investigate and remediate. Quantify, prioritize, and propose cost optimization opportunities—evaluating levers such as PTU vs. pay-as-you-go trade-offs, model tiering, context reduction, and caching—and drive them to measurable outcomes. Design preventive governance controls so that cost anomalies and overruns, once identified, are systematically prevented from recurring. Define and implement AI spend guardrails in coordination with cloud and LLM providers: set up budgets, configure alerts, manage commitment structures, and ensure contractual rate accuracy. Coordinate the AI FinOps governance program across engineering, finance, and cloud provider relationships—maintaining a clear operating model with documented standards and a regular review cadence. Prepare and deliver VP-level reporting and presentations on AI cost trends, optimization progress, and forward-looking forecasts, translating technical data into clear financial narratives. Operate as a self-starter and self-sufficient program owner: define scope, manage stakeholders, and drive workstreams to completion with minimal direction. 
