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Celonis — Madrid, Comunidad de Madrid
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action.
We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Team: Celonis Services is a strategic services organisation that focuses on the technical aspects of our customers' journeys as well as generating tangible business value during engagements.
It includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical, and domain expertise, and focus on delivering Celonis implementations, maximizing business value, and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.
The Role: As a Senior Consultant – Supply Chain Management, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities – particularly in end-to-end supply chain and operations processes – and lead your project team towards developing data-driven process insights and actions to ensure that customers receive maximum value. You always leverage the newest features and functionalities of the Celonis software, such as Process Automation, Artificial Intelligence (AI), and Machine Learning.
Qualifications
you need: 4+ years working experience in IT-Consulting, Solution/Data Consulting, or Process Improvement Consulting within Software Vendors, Consulting firms, or System Integrators, ideally with exposure to supply chain or operations domains Demonstrated ability to translate business
Requirements
into technical solutions (data models) Strong knowledge of data-related languages ( SQL required , other programming languages such as Python are a plus) A strong appetite for value-driven approaches (KPI definition, business case calculations, value realization approaches) and data topics (Big Data, Data Mining, and Process Mining) Understanding of supply chain processes (e.g., procure-to-pay, order-to-cash, production planning, logistics, or inventory management ) and related financial metrics; knowledge of standard ERPs (SAP, Oracle, etc.) i