Head of Data, AI & Automation (all genders)

Stellenbeschreibung:

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


    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 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.


Company Overview


Evotec is a life science company with a unique business model that delivers on its mission to discover and develop highly effective therapeutics and make them available to the patients. The Company’s multimodality platform comprises a unique combination of innovative technologies, data and science for the discovery, development, and production of first-in-class and best-in-class pharmaceutical products. Evotec leverages this "Data-driven R&D Autobahn to Cures" for proprietary projects and within a network of partners including all Top 20 Pharma and over 800 biotechnology companies, academic institutions, as well as other healthcare stakeholders. Evotec has strategic activities in a broad range of currently underserved therapeutic areas, including e.g. neurology, oncology, as well as metabolic and infectious diseases. Within these areas of expertise, Evotec aims to create the world-leading co-owned pipeline for innovative therapeutics and has to-date established a portfolio of more than 200 proprietary and co-owned R&D projects from early discovery to clinical development. Evotec operates globally with more than 5,000 highly qualified people. The Company’s 17 sites offer highly synergistic technologies and services and operate as complementary clusters of excellence.


For additional information please go to and follow us on X/Twitter @Evotec and LinkedIn.

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Stelleninformationen

  • Veröffentlichungsdatum:

    01 Sep 2026
  • Standort:

    Hamburg
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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