Driving cost optimization across cloud, on-premises, SaaS, and AI services while establishing financial transparency and accountability for AI workloads.
This position is based in Veldhoven, Netherlands and follows a hybrid working model requiring office presence three days per week.
- Drive cost optimization across cloud, on-premises, SaaS, and AI services by identifying savings opportunities and validating business impact.
- 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.
- Proactively equip, guide, and train stakeholders on FinOps, cloud optimization, and AI cost management practices.
- Ensure reliable cost management tooling, including access control, data quality, cost mapping, tagging/labeling standards, dashboards, reporting, and vendor engagement.
- Identify, analyze, and report cost opportunities and risks across Azure, Google Cloud, on-premises, and AI consumption.
- Bachelor's or Master's degree in System Engineering
- Business Management
- Data Analytics / Data Science
- Finance
- IT