Cloud Economics Specialist

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Role:

The Lead Cloud Economics Specialist will own analytics, automation, and operating processes for cloud cost management, cost attribution, optimization tracking, strategic vendor economics, and product-margin support. The role will partner with Finance, Product & Engineering, IT, Procurement, Legal/Trust, and Data teams to turn complex usage and cost data into clear financial insights, scalable reporting, and executive-ready recommendations.

This is a senior, hands-on finance business partnering role at the intersection of Finance, cloud economics, data automation, vendor economics, and Product & Engineering decision support. You will work with complex usage and cost data, build scalable reporting and automation, and translate technical cost drivers into clear financial insights and recommendations. You will lead through ownership and influence rather than direct management, and you'll have room to define structure where mature processes don't yet exist.

The work you’ll do:

1. Cloud cost visibility and attribution

• Build and maintain reporting across AWS, Azure, GCP, and related hosting environments.
• Improve attribution of cloud and infrastructure costs to services, teams, products, customers, projects, and cost centers.

1. Automation, data pipelines, and analytics

• Use Python or equivalent scripting, SQL, APIs, BI tools, and workflow automation to reduce manual reporting.
• Build and maintain data pipelines connecting cloud billing, vendor usage, employee/project mapping, product usage, and financial data.

1. Optimization, forecasting, and vendor economics

• Maintain an optimization pipeline with opportunity size, owner, expected savings, realized savings, and implementation status.
• Support cloud commitment, reservation, savings-plan, and renewal decisions with usage baselines, forecast scenarios, and risk analysis.