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)
Legal
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.