Head of Data, AI & Automation (all genders)

Responsibilities • 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) • 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 • 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) • 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 • 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) • 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) 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.