Head of Data, AI & Automation (all genders)

Evotec AG
Hamburg, Germany
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

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
+3 more
Low-code Data Management GXP

Job 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)
  1. 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
  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: *
  • Scientific AI (In Silico, analytics) *

  • Operational AI (process optimization, automation)

  1. 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
  1. 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)

Requirements

  • 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)

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