Head of Data, AI & Automation (all genders)
Director
Description
Responsibilities
1. Automation as a Value Engine (Primary Focus)
- Drive automation across:
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- Discovery & Preclinical Services
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- R&D / Innovation
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- Drug Development
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- 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:
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- Data integration across lab, manufacturing and enterprise systems
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- 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:
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- Scientific AI (In Silico, analytics)
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- Operational AI (process optimization, automation)
4. Domain Enablement (Business Alignment)
- Work closely with:
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- Discovery & Preclinical Services
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- R&D / Innovation
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- Manufacturing
- Enterprise Functions
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- Ensure automation and data solutions are:
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- Business-driven
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- Embedded in workflows
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- Scalable across domains
5. Governance & Standards
- Define standards for:
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- Data architecture
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- Automation tools and platforms
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- AI development and deployment
- Ensure alignment with:
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- Data governance (business-owned)
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- 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:
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- Data platforms and architecture
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- Automation technologies (RPA, workflow, low-code)
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- AI / advanced analytics
- Proven track record in:
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- Delivering business value (not just technology)
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- Scaling capabilities across complex organizations
- Ability to:
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- Bridge business and technology
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- Drive change and adoption
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- 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.