Lead Consultant - Data Science & Artificial Intelligence

Celonis Celonis · Data AI · Madrid, Spain · Services

Celonis is seeking a Lead Consultant to drive digital transformation for customers using their Process Intelligence platform. The role involves identifying customer priorities, developing data-driven process insights using SQL and complex data models, and enriching analyses with AI/ML algorithms. The consultant will implement Celonis' Process Automation technology, identify process inefficiencies, and ensure customer enablement for continuous improvement. The role requires a minimum of 7 years of experience in IT or Management Consulting, hands-on experience with AI/ML techniques, proficiency in SQL or other programming languages, and strong communication and analytical skills.

What you'd actually do

  1. Play a key role in the Celonis implementation project to ensure the optimal solution to tackle the customer’s pain points
  2. Design innovative analyses and operational apps and enrich them with Machine Learning algorithms or Artificial Intelligence to make the customer’s processes transparent
  3. Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer
  4. Conduct value workshops to develop business cases and align measures to improve process inefficiencies
  5. Implement the most relevant KPIs measuring the customer’s success

Skills

Required

  • Min. 7 years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area.
  • Hands-on experience applying AI/ML techniques or similar technologies
  • Proficiency with SQL or other programming languages (Python, R, Matlab...)
  • Strong communication skills in English
  • Excellent analytical skills

Nice to have

  • Strong interest in Big Data, Data Mining, and Process Mining
  • Business acumen is a strong plus
  • Understanding and interpreting business processes
  • Visionary and want to actively drive the Celonis Process Mining technology forward
  • Well organised and known for being a quick learner

What the JD emphasized

  • Hands-on experience applying AI/ML techniques or similar technologies