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.