Head of Data, AI & Automation (all genders) - #2743295

Responsibilities

• Automation as a Value Engine (Primary Focus)
• Drive automation across:
• • Discovery & Preclinical Services
  • • R&D / Innovation
    • • Drug Development
      • • Enterprise Platforms (e.g. ERP, Finance, HR)
        • Identify and scale quick-win automation use cases (e.g. RPA in ERP, workflow automation)
        • Establish automation as a standard lever for efficiency and quality improvement
        • Define and track automation-driven value (cost, speed, quality)
        • Data & AI Platform Leadership
        • Build and operate a scalable enterprise data platform
        • Enable:
        • • Data integration across lab, manufacturing and enterprise systems
          • • Self-service analytics and data access
            • Provide the foundation for AI and advanced analytics at scale
            • AI Enablement & Scaling
            • Move from isolated AI use cases to industrialized AI deployment
            • Define and govern the AI lifecycle (use case → development → scaling)
            • Support:
            • • Scientific AI (In Silico, analytics)
              • • Operational AI (process optimization, automation)
              • Domain Enablement (Business Alignment)
              • Work closely with:
              • • Discovery & Preclinical Services
                • • R&D / Innovation
                  • • Manufacturing
                    • Enterprise Functions
                  • Ensure automation and data solutions are:
                • • Business-driven
              • • Embedded in workflows
            • • Scalable across domains
  • Governance & Standards
  • Define standards for:
  • • Data architecture
    • • Automation tools and platforms
      • • AI development and deployment
        • Ensure alignment with:
        • • Data governance (business-owned)
          • • Security & compliance (InfoSec-defined)
          • Capability Build-up
            
          Develop Capabilities In
          
          
          • Data engineering
          • Automation (RPA, workflow, low-code)
          • AI/ML
          • Drive data and automation literacy across IT and business
            
            
          Qualifications
          
          
          • Master's degree in Data Science, Artificial Intelligence, Business Informatics, or a related field.
          • Strong experience in:
            
            
        • • Data platforms and architecture
      • • Automation technologies (RPA, workflow, low-code)
    • • AI / advanced analytics
      • Proven track record in:
        
        
    • • Delivering business value (not just technology)
  • • Scaling capabilities across complex organizations
    • Ability to:
      
      
  • • Bridge business and technology

• • Drive change and adoption
    
    

• • Operate in regulated environments (GxP is a plus)
    

FR : Dans le cadre de sa politique Diversité, Evotec étudie, à compétences égales, toutes les candidatures dont celles des personnes en situation de handicap.

ENG : In the frame of our Diversity policy, Evotec considers, with equal competences, all applications including people with disabilities.