Head of Data, AI & Automation (all genders)

Responsibilities:

• 1. 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)
• 2. 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
• 3. 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)
• 4. 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
• 5. 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)
• 6. 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.