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# Head of Data, AI & Automation (all genders)

- **Company:** Evotec AG
- **Location:** Hamburg, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Cyber Security, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Security, Data Systems, Software Deployment, Enterprise Data Management, AI Platforms, Low-code, Data Management, GXP
- **Published:** August 12, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=aa27bad3feda2f6c

## About the Role

* 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)

## Description

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)


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