Lead Deployment Engineer

Celonis Celonis · Data AI · Madrid, Spain · Services

Lead Deployment Engineer for Celonis, focusing on AI-augmented delivery of Process Intelligence solutions. The role involves directing AI agents (Apollo) to build data models, analyses, and configurations, while applying judgment, domain expertise, and customer context to validate and refine outputs. The emphasis is on translating business needs into technical specifications for AI agents and ensuring measurable business impact through platform solutions.

What you'd actually do

  1. Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards - writing clear specifications and validating agent outputs against business requirements
  2. Build and configure Celonis solutions across the platform: Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights
  3. Conduct business discovery workshops to translate customers’ strategic objectives into high-impact Celonis use cases
  4. Identify process inefficiencies and root causes using Celonis technology, always in close collaboration with the customer
  5. Develop and maintain deep expertise in one or more process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals

Skills

Required

  • 7+ years in Management or IT consulting, data/solution consulting, or process improvement consulting
  • Platform mastery
  • AI-augmented delivery
  • Specification and context engineering skills
  • Domain expertise

Nice to have

  • Experience with Celonis platform
  • Experience with AI deployment tools

What the JD emphasized

  • direct AI agents
  • validating agent outputs
  • customer context
  • business relevance
  • AI-augmented delivery
  • specification and context engineering skills

Other signals

  • AI-augmented delivery
  • directing AI agents
  • validating AI outputs
  • customer solutions