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 and 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 and 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.