Lead Deployment Engineer - Public Sector - Federal

Celonis Celonis · Data AI · United States +1 · Remote · Services

Lead Deployment Engineer for Celonis, focusing on implementing AI-augmented solutions for enterprise customers. The role involves directing AI agents (Apollo) to build data models, analyses, and configurations, while applying human judgment to validate outputs, adapt to customer context, and ensure business relevance. The primary focus is on leveraging AI tools for faster, smarter delivery of Celonis platform solutions, with an emphasis on understanding customer business needs and translating them into technical specifications for AI execution.

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. Validate AI-generated outputs for accuracy, business relevance, and alignment with customer context - applying domain knowledge where the AI cannot

Skills

Required

  • 7+ years in Management or IT consulting, data/solution consulting, or process improvement consulting
  • Platform expertise in Celonis
  • Ability to build and configure Celonis solutions
  • Understanding of business processes
  • Customer stakeholder management
  • Translating business needs into technical specifications

Nice to have

  • Experience in Public Sector / Federal

What the JD emphasized

  • You generate value by understanding the customer’s business, translating their needs into technical specifications and solutions, and ensuring the platform delivers measurable impact.
  • You work with AI agents as your primary tools - your job is to direct, validate, and refine their output, not to write every line of code or build every analysis manually
  • You need strong specification and context engineering skills - the ability to translate a customer’s ambiguous business need into a precise instruction that an AI agent can execute correctly

Other signals

  • AI-augmented delivery
  • directing AI agents
  • validating AI outputs
  • customer business understanding
  • translating needs into technical specifications