VP, Enterprise AI FinOps & Cost Optimization

Jefferies; New York (NY); On-site; USD 175,000 - 200,000; Full time

Job summary

Jefferies is seeking an Enterprise AI FinOps Lead to drive financial transparency and cost governance for the Enterprise AI Program. You will define guardrails, forecast AI spend, and partner across Finance, Engineering, Procurement, and the AI PMO to optimize value while balancing risk and performance.

You will own cost analytics, dashboards, allocations, and executive reporting, translating complex consumption data into practical, measurable actions for business value.

Qualifications

• Significant experience in FinOps, cloud financial management, cost management and analytics.
• Proven ability to build cost transparency, dashboards, forecasts, and allocation models.
• Strong understanding of cloud cost drivers, pricing, and vendor economics.
• Ability to translate complex consumption data into actionable decisions for executives.
• Experience partnering with Engineering, Finance, Procurement and Product teams.

Responsibilities

• Define and implement the FinOps operating model for the AI program.
• Own AI spend view, forecasts, allocations, and optimization opportunities.
• Design dashboards by model, provider, application, user and cost category.
• Set guardrails for AI consumption, budgets, alerts and escalation processes.
• Analyze spend, anomalies, and provide executive-ready recommendations.
• Support showback, chargeback, or allocation approaches for consuming teams.

Skills

FinOps

Cloud economics

Cost governance

Financial analysis

Dashboarding

Tools

Data modeling

Forecasting

Job description

Jefferies is seeking an Enterprise AI FinOps Lead to drive financial transparency and cost governance for the Enterprise AI Program. You will define guardrails, forecast AI spend, and partner across Finance, Engineering, Procurement, and the AI PMO to optimize value while balancing risk and performance.

You will own cost analytics, dashboards, allocations, and executive reporting, translating complex consumption data into practical, measurable actions for business value.