Head of Data Engineering & Factory

## Job Title: Head of Data Engineering & Factory ## Location: Cambridge, USA ## Relocation Support: This role is based in Cambridge, USA. 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. ## Responsibilities - 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 ## Requirements - 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 - Demonstrated experience embedding governance, access control, lineage, and compliance within engineering workflows - Experience enabling artificial intelligence use cases through well-designed data products, interfaces, and metadata frameworks - Strong ability to apply automation and artificial intelligence to improve engineering productivity and operational efficiency - Excellent communication and stakeholder management skills ## Nice to Have ## Benefits