Head of Data, AI & Automation (all genders) - #2679380

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.