FinOps AI & Optimization Practitioner

Role Overview

The FinOps AI & Optimization Practitioner will enable financial transparency, accountability, and optimization across cloud, on-premises, and AI services. The role will help the organization understand, govern, forecast, and optimize consumption across traditional infrastructure and emerging AI workloads.

What You Will Do

Drive cost optimization across cloud, on-premises, SaaS, and AI services by identifying savings opportunities, validating business impact, and supporting implementation with accountable owners. Establish FinOps for AI practices covering AI cost visibility, allocation, forecasting, budgeting, anomaly detection, unit economics, cost-per-token, cost-per-inference, GPU utilization, and AI business value tracking.

Why It Might Be a Fit

To thrive in this role, you need to have strong analytical, documentation, communication, and presentation skills. Ability to simplify complex technical and financial topics for diverse audiences. Forward thinker with a practical optimization mindset and focus on measurable value.

Requirements

• Minimum 5 years of experience in FinOps, cloud cost management, IT finance, cloud operations, platform engineering, or a related role in an international IT organization.
• Strong understanding of Azure and Google Cloud cost models, cloud principles, reservations/commitments, tagging, allocation, forecasting, budgeting, showback, and chargeback.
• Experience translating technical usage into financial insights and actionable recommendations for non-finance stakeholders and business owners.
• Experience with cost visualization and analytics tools; ability to create dashboards, reports, and insights that support decisions.
• Experience with change management, stakeholder enablement, governance, and optimization execution in large organizations.
• FinOps Practitioner certification, or willingness to obtain it; AI/cloud optimization certifications are a plus.

Benefits

• Benefits package

Tagged as: Change Management, Forecasting