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Head of Data Engineering & Factory
Job in
4040, Basel, Kanton Basel-Landschaft, Switzerland
Listed on 2026-06-15
Listing for:
Novartis
Full Time
position Listed on 2026-06-15
Job specializations:
-
Engineering
AI Engineer (Applied/Software), Systems Engineer -
IT/Tech
AI Engineer (Applied/Software), Systems Engineer
Job Description & How to Apply Below
Job Title:
Head of Data Engineering & Factory
Location:
Basel, Switzerland
Relocation Support:
This role is based in Basel, Switzerland. Novartis is unable to offer relocation support: please only apply if accessible.
The Role
- Define and execute the vision, roadmap, and operating model for the Data Product Factory
- Lead industrialization of scalable, production-grade data product engineering across Biomedical Research domains
- Drive adoption of standardized engineering patterns, reusable blueprints, and contract-first design principles
- Ensure all data products are artificial intelligence-ready with standardized interfaces, metadata, and controlled access mechanisms
- Lead modernization of engineering practices using automation-first and artificial intelligence-native approaches
- Oversee end-to-end lifecycle of data products including build, certification, deployment, and deprecation
- Establish and scale continuous integration, continuous deployment, and development and operations capabilities across platforms
- Embed governance, security, lineage, and policy-as-code into engineering workflows by design
- Build and lead high-performing engineering teams, driving technical excellence and organizational capability growth
- Partner with domain and platform leaders to align business priorities with engineering delivery outcomes
- Over 10 years of experience in software engineering, platform architecture, or enterprise data infrastructure
- Proven track record building and scaling enterprise data platforms or productized data systems
- Strong experience leading engineering teams within complex, matrixed organizational environments
- Deep expertise in continuous integration, continuous deployment, and automated testing practices in production environments
Note:
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