Digital Technology Lead for Information Architecture

Overview

In this role you lead information architecture and data foundation initiatives within UCB’s Patient Solutions and R&D Digital Technology team. You will design scalable data architectures, drive digital transformation, and shape the research data foundation to enable reusable and AI-ready data products. You’ll collaborate with scientists, data owners and IT partners to ensure compliant, high-quality data solutions that accelerate research, development and patient impact. This position offers global scope, cross-functional influence, and hands-on technology leadership in a hybrid work environment.

Pay / Benefits

• hybrid-first work model
• local hub collaboration
• equal opportunity employer
• inclusive culture
• flexible office time (40% in office)
• reasonable accommodation support

Responsibilities

• Co-design the global information architecture for R&D, ensuring FAIR and ALCOA+ data governance
• Lead a digital transformation portfolio to build a scalable data foundation for reusable AI-ready data products
• Implement scalable metadata management to improve data quality, lineage, and discoverability
• Oversee system interdependencies and scale transversal, compliant operations
• Engage with scientists and data owners across global R&D and collaborate with transversal DT colleagues
• Define and advance the digital technology roadmap for Patient Solutions and accelerate transformation

Key requirements

• Master’s degree (minimum) in a scientific or technology field; PhD also acceptable
• Deep IT expertise in designing data foundation environments with modern technologies
• Hands-on experience with Databricks and Snowflake configuration/pipeline implementation and data catalogs
• Experience in information architecture design for global R&D digitalization programs
• Understanding of ELNs, sample registries, modeling & analytics and integrating them into a data foundation
• Strong knowledge of scientific data formats, data management, metadata governance and data modeling
• Experience applying AI-driven approaches to data or metadata management
• Strong ability to bridge research and technology and communicate with scientific and IT stakeholders
• Curious, innovative mindset with a positive can-do attitude

• collaborative
• curious
• proactive
• Databricks
• Snowflake
• metadata management

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