Platform Manager

Celonis Celonis · Data AI · Munich, Germany · Value Engineering

The Platform Manager at Celonis is a senior technical and strategic role responsible for the enterprise architecture, data strategy, and value delivery of the Celonis platform within customer IT landscapes. This role bridges data engineering and C-level objectives, leading modernization efforts with emergent technologies like Agentic AI and influencing the product roadmap by acting as a conduit between customers and Celonis Product/Engineering. The role requires experience in Enterprise Architecture, Data & Integration, AI & Innovation, and Security & Compliance.

What you'd actually do

  1. Define the overall architecture, data, and cloud strategy for Celonis within the customer’s IT landscape. Ensure scalability, performance, and security across global deployments.
  2. Establish architectural principles, policies, and standards. Lead or consult on Architecture Review Boards (ARB) to ensure Celonis remains a "Clean Core" extension of the customer’s ERP (SAP, Oracle, etc.).
  3. Drive enterprise modernization by leveraging techniques like capability mapping and architecting solutions with emergent technologies (e.g., Agentic AI, Process Intelligence Graph).
  4. Design complex data pipelines (OCPM) and integration patterns (ETL/ELT, API ecosystems) that connect disparate systems into a unified Digital Twin of the business.
  5. Confidently present technical designs and value realizations to CIOs, CFOs, and CTOs, aligning their strategic goals with Celonis' technical capabilities.

Skills

Required

  • 12+ years in Enterprise Architecture or a CTO-level role at a major software vendor
  • Mastery of frameworks such as TOGAF or Zachman
  • Demonstrated experience in Agentic AI, Machine Learning workflows, and process mining methodologies
  • Strong foundation in cybersecurity posture, data privacy (GDPR/CCPA), and SOC2/ISO compliance within cloud environments (AWS, Azure, GCP)
  • Strong proficiency in German

Nice to have

  • Retail Industry Expertise

What the JD emphasized

  • most senior technical and strategic role
  • single point of accountability
  • customer escalations
  • business-critical problems
  • high-stakes technical blockers

Other signals

  • Leveraging emergent technologies (e.g., Agentic AI, Process Intelligence Graph)
  • Demonstrated experience in Agentic AI, Machine Learning workflows
  • Mobilize and lead a multidisciplinary team of Applied AI engineers, Data Scientists