Head of Data, AI & Automation (all genders)

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)

1. 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

1. 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)

1. 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

1. 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)

1. 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.