Lead Deployment Engineer

EngineersOfAI; Madrid; On-site; EUR 90,000 - 130,000; Full time

Job summary

Celonis is seeking a Lead Deployment Engineer to drive the hands-on implementation of Celonis solutions for enterprise customers. You will direct AI-augmented workflows, build data models, analyses, KPIs, and dashboards, and ensure outputs are validated against business requirements.

You will specify what to build, guide AI agents to execute, and iterate with customers to ensure measurable impact and alignment with business context.

Responsibilities

• Initiate and Connect: Conduct business discovery workshops to translate customers’ strategic objectives into high-impact Celonis use cases; Collaborate with the customer’s IT and business stakeholders to define project scope, data requirements, and success criteria; Ensure data connectivity and extraction pipelines are properly configured, working with specialist resources if required.

Job description

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 the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers\' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: solution go-live, solution adoption, initial value realization support and the long-term success of our customers.

The Role

As a Lead Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise with AI-augmented workflows to deliver high-quality outcomes, fast. You use Celonis’s AI deployment tools as your primary instruments - directing agents to build data models, generate analyses, and configure operational solutions, while applying your own judgment to validate outputs, adapt to customer context, and ensure business relevance.

This is not a traditional consulting role where you build everything manually. You are an AI-augmented delivery professional: you specify what needs to be built, direct AI agents to execute wherever possible, validate the results, and iterate with the customer. You generate value by understanding the customer’s business, translating their needs into technical specifications and solutions, and ensuring the platform delivers measurable impact.

The Work You’ll Do

Initiate and Connect

• Conduct business discovery workshops to translate customers’ strategic objectives into high-impact Celonis use cases
• Collaborate with the customer’s IT and business stakeholders to define project scope, data requirements, and success criteria
• Ensure data connectivity and extraction pipelines are properly configured, working with specialist resources if required

Build & Value

• Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards - writing clear specifications and validating agent outputs against business requirements
• Build and configure Celonis solutions across the platform: Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights
• Identify process inefficiencies and root causes using Celonis technology, always in close collaboration with the customer
• Validate AI-generated outputs for accuracy, business relevance, and alignment with customer context - applying domain knowledge where the AI cannot
• Lead value creation workshops and define measures to improve process inefficiencies
• Define and build KPIs measuring the customer’s success and quantify business impact
• Design and build operational solutions to drive value, adoption and improve process conformance

Rollout, Adoption, and Handover

• Enable key customer users to use and extend the solution independently, setting the foundation for long-term adoption
• Manage project outcomes against timelines, scope, and customer expectations
• Train and demonstrate to customer users, guiding them on the path to sustained value
• Document solution design decisions and co