Technology FinOps Manager

About the role

We are seeking an experienced hands-on FinOps practitioner to support both the execution and build-out of our cloud and AI cost management capability. This role combines executional FinOps delivery with capability design responsibilities, helping establish scalable processes, governance, and reporting across cloud and AI spend.

Responsibilities

• Support the design and implementation of FinOps capabilities, including cost allocation, tagging standards, governance forums, reporting frameworks, and forecasting processes
• Execute day-to-day FinOps processes across cloud infrastructure and AI/ML workloads, including cost allocation, anomaly detection, and showback/chargeback reporting
• Develop and maintain cost transparency across cloud and AI spend, including reporting by business unit, application, platform, and AI use case
• Analyze cloud and AI cost drivers, identifying trends, anomalies, and key contributors to spend variability
• Support forecasting, budgeting, and variance analysis for both baseline cloud usage and variable AI consumption models (e.g., tokens, API calls, GPU usage)
• Identify, prioritize, and track cost optimization opportunities across cloud infrastructure and AI workloads, and partner with engineering teams to drive execution
• Maintain and enhance FinOps tooling, dashboards, and data pipelines, ensuring high-quality cost and usage data and improving tagging and allocation accuracy
• Integrate AI cost management into FinOps processes, including tracking model usage, GPU consumption, and AI platform costs
• Partner with cloud engineering, AI teams, finance, and procurement to drive cost accountability and informed decision-making
• Support governance cadences such as monthly cost reviews and AI spend forums, enabling consistent monitoring and accountability
• Contribute to continuous improvement of FinOps processes, identifying gaps and helping scale the capability as cloud and AI adoption grows

Qualifications

• Bachelor’s degree in Finance, Business, Technology, or a related discipline
• 8+ years of relevant experience
• 4+ years of experience in FinOps, cloud cost management, or technology finance with hands-on execution responsibility
• Experience working with at least one major cloud platform (AWS, Azure, or GCP) and strong understanding of consumption-based pricing models
• Proven ability to analyze cloud and AI spend data and translate it into actionable insights and optimization opportunities
• Experience partnering with technical teams (engineering, AI, etc.) and finance stakeholders in a cross-functional environment
• Strong analytical and data skills, including proficiency in Excel and experience with cost reporting and allocation frameworks