Lead Data Architect – Clinical Imaging and AI Platforms
This role is responsible for defining the enterprise data architecture strategy and establishing standards for metadata, interoperability, lineage, and AI-ready data models. It will enable scalable analytics and AI/ML workflows for Research (REDs) and Product Development (PD) while driving modernization of imaging data platforms in partnership with engineering, informatics, and governance teams.
The Lead Data Architect serves as the strategic bridge between scientific, business, and technology organizations across Research, Product Development, RIS, and RDT, translating business priorities into scalable, secure, and interoperable data architectures. This role ensures alignment with GxP, SaMD, FAIR, and clinical data governance frameworks.
Job Responsibilities
Define and execute the enterprise data architecture strategy and roadmap for multi-modal imaging and research data within the General Imaging Platform (GIP)
Design scalable and interoperable data architectures supporting Radiology, Digital Pathology, AI/ML, clinical,
and translational research workflows
Establish and enforce standards for data modeling, metadata management, lineage, interoperability, cataloging, and governance across structured and unstructured datasets in close partnership with the Data managers and Study teams
Lead the design and implementation of cloud-native data platforms, data lakes/lakehouses, and distributed analytics ecosystems supporting global R&D; and clinical initiatives
Partner with scientific, clinical, and technical stakeholders to translate business and research requirements into scalable, compliant, and reusable data solutions
Act as the primary architecture lead for imaging and multi-modal data ecosystems, coordinating across gRED, pRED, PD, RDT, RIS, and enterprise IT functions
Ensure alignment with GxP, FAIR standards, HIPAA/GDPR, security, privacy, and enterprise governance standards across all data architecture initiat
📌 Data Architect (Madrid)
🏢 Roche
📍 Madrid