About this role
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
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• 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.