Head of Data, AI & Automation (all genders)

Evotec WD; Hamburg; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Evotec is seeking a senior leader to drive Automation as a Value Engine across Discovery, Preclinical R&D, and Enterprise Platforms, while building and scaling a scalable data platform and steering AI-enabled initiatives.

You will govern the AI lifecycle, embed automation in workflows, partner with business units, and ensure compliance in regulated environments. This role requires deep expertise in data engineering, RPA, and analytics to deliver measurable business value.

Qualifikationen

• Master's degree in a relevant field.
• Strong experience in data platforms and architecture.
• Proven ability to deliver business value and scale capabilities across complex organizations.

Aufgaben

• Automation as a Value Engine across Discovery & Preclinical Services R&D / Innovation Manufacturing 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) and Operational AI (process optimization, automation).
• Domain Enablement (Business Alignment): Work closely with Discovery & Preclinical Services R&D / Innovation and Manufacturing Enterprise Functions.
• Ensure automation and data solutions are business-driven, embedded in workflows, and scalable across domains.
• Governance & Standards: Define standards for data architecture, automation tools and platforms, and AI development/deployment.
• Ensure alignment with data governance and security/compliance.
• Capability Build-up: Develop capabilities in data engineering, automation (RPA, workflow, low-code), AI/ML; drive data and automation literacy across IT and business.

Kenntnisse

Data platforms & architecture

Automation technologies (RPA, workflow

AI / advanced analytics

Ausbildung

Master's degree in Data Science, Artificial Intelligence, Business Informatics, or a related field

Jobbeschreibung

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 www.evotec.com and follow us on X/Twitter @Evotec and LinkedIn.