OverviewJob 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. Ready to shape how data powers scientific breakthroughs? As Head of Data Engineering & Factory, you will lead the vision and evolution of a cutting-edge Data Product Factory—transforming how scalable, artificial intelligence-ready data products are built, delivered, and consumed across Biomedical Research. This is a high-impact leadership role where you will combine deep technical expertise with strategic thinking to industrialize data engineering, accelerate innovation through automation and artificial intelligence, and enable a truly data-centric organization. You will work at the forefront of modern engineering practices, driving measurable outcomes while empowering teams to build reliable, high-quality data products at scale.Key ResponsibilitiesDefine and execute the vision, roadmap, and operating model for the Data Product FactoryLead industrialization of scalable, production-grade data product engineering across Biomedical Research domainsDrive adoption of standardized engineering patterns, reusable blueprints, and contract-first design principlesEnsure all data products are artificial intelligence-ready with standardized interfaces, metadata, and controlled access mechanismsLead modernization of engineering practices using automation-first and artificial intelligence-native approachesOversee end-to-end lifecycle of data products including build, certification, deployment, and deprecationEstablish and scale continuous integration, continuous deployment, and development and operations capabilities across platformsEmbed governance, security, lineage, and policy-as-code into engineering workflows by designBuild and lead high-performing engineering teams, driving technical excellence and organizational capability growthPartner with domain and platform leaders to align business priorities with engineering delivery outcomesEssential RequirementsOver 10 years of experience in software engineering, platform architecture, or enterprise data infrastructureProven track record building and scaling enterprise data platforms or productized data systemsStrong experience leading engineering teams within complex, matrixed organizational environmentsDeep expertise in continuous integration, continuous deployment, and automated testing practices in production environmentsDemonstrated experience embedding governance, access control, lineage, and compliance within engineering workflowsExperience enabling artificial intelligence use cases through well-designed data products, interfaces, and metadata frameworksStrong ability to apply automation and artificial intelligence to improve engineering productivity and operational efficiencyExcellent communication and stakeholder management skills with proven experience influencing senior leadershipDesirable RequirementsExperience designing agent-compatible interfaces, metadata frameworks, and retrieval-augmented data access patternsProven success mentoring multidisciplinary engineering teams across platform, data, quality, and artificial intelligence domainsCommitment to Diversity and InclusionNovartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Accessibility and AccommodationNovartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or to receive more detailed information about the essential functions of a position, please email inclusion.switzerland@novartis.com and share the nature of your request along with your contact information. Please include the job requisition number in your message.
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