Lead / Principal Consultant - Data and AI

About Celonis

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.

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.

The Role

As a Lead / Principal Consultant - Data and AI (referred to internally as a Lead / Principal 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.

Responsibilities

• 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.
• 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.
• 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 configurations for future reference and handoff.

Qualifications

• Experience: 7+ years minimum in Management or IT consulting, data/solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators.
• Platform skills: Ability to build and configure solutions on the Celonis platform, including data modeling, process analysis, KPI definition, and automation.
• Proficiency in: PQL, SQL, and Python.
• AI fluency: Comfort working with AI-assisted development tools (e.g., Claude Code, Codex, Cursor, etc.).
• Business and process domain expertise: Strong understanding /deep expertise of enterprise business processes and financial metrics.
• Education: Bachelor’s or Master’s in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or a comparable field.
• Languages: Fluency in English and German required.
• Travel: Willingness to travel to customer location up to 50%, according to customer requirement and project delivery phases.