Head of Data Engineering & Factory

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 with proven experience influencing senior leadership

Nice to have

• Experience designing agent-compatible interfaces, metadata frameworks, and retrieval-augmented data access patterns
• Proven success mentoring multidisciplinary engineering teams across platform, data, quality, and artificial intelligence domains