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.

You will partner with senior leadership while working directly with engineering, AI, and finance teams to improve cost transparency, forecasting, and optimization. The ideal candidate has practical FinOps experience and has worked within a financial services or similarly regulated environment, with strong attention to data quality, governance, and stakeholder coordination.

Key Responsibilities

FinOps Capability Design & Execution

• 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

Required 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

Preferred Qualifications

• Familiarity with AI cost drivers, including token-based pricing, GPU usage, and model training vs. inference economics
• Experience with FinOps or cloud cost management tools such as Flexera, Apptio, or native cloud platforms
• Experience contributing to FinOps capability design, including reporting frameworks, governance models, or forecasting processes
• Experience building dashboards and visualizations using tools such as Power BI or Tableau

Location: New York City; hybrid with a minimum of two days per week in office.

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Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.

Compensation Details

The salary range for this role is $150,000-$180,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.