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.