What you’ll do

• Shape the strategy: develop our data and AI strategy and roadmap, aligned with our business and IT strategy.
• Design the architecture: define our target data architecture and the standards for data integration, storage, modelling and access.
• Build the platform: design a central data platform (data warehouse or lakehouse) and build it step by step, prioritised by business value.
• Create a single source of truth: define data models, KPIs and master data together with our business units.
• Establish data governance: set up data ownership, data quality rules, metadata and access management.
• Connect the systems: design and oversee the interfaces between our source systems and the data platform.
• Bring AI to life: identify, evaluate and prioritise AI use cases, then take the best ones from proof of concept to stable operation.
• Stay compliant: make sure our solutions meet GxP, GDPR, EU AI Act and information security requirements.
• Steer partners: select technologies and external partners and lead implementation projects.
• Build know-how: advise management, train key users and grow data and AI skills across the organisation.

What you bring

• A degree in computer science, data science, business informatics, engineering or a related field
• Several years of experience in data architecture, data engineering or BI, including designing and implementing data platforms
• Solid knowledge of modern data architectures (data warehouse, lakehouse, data mesh) and cloud data platforms
• Strong skills in data modelling, data integration (ETL/ELT, APIs) and SQL
• Practical knowledge of machine learning and generative AI (e.g. large language models), including their limits and risks
• Experience with data governance, master data management and data quality
• Experience with reporting and analytics tools and with enabling self-service analytics
• Knowledge of data protection and information security; experience in regulated environments (e.g. GxP) is a plus
• Experience leading projects and managing external partners
• The ability to turn business needs into architecture, and to explain complex topics clearly to non-technical colleagues
• Very good English; German is a plus
• A structured, hands-on and independent way of working

Why CWS Cleanrooms?

• Real impact: you’ll build our data landscape from the ground up, not just maintain it.
• Visibility: you’ll work directly with management and across all business units.
• Entrepreneurial environment: short decision paths and room to shape things, backed by a strong international group.
• A meaningful industry: your work supports the safe production of medicines and high-tech products.

• Optimal start: A comprehensive, individually tailored onboarding program for an excellent start
• Flexibility: 30 vacation days per year and the option to work remotely part of the time
• Benefits: Lease bike for private use, company pension plan, childcare subsidy, training and development opportunities, employee events, discounted employee conditions at well-known online shops