About this job

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.

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