CSL R&D is driving significant transformation — accelerating its data and AI ambitions in a way that demands architecture thinking rooted in business value, not just technical delivery. The R&D Data Architect is a brand new role, created to make that ambition a reality. This role is responsible for designing and managing the data architecture that connects scientific discovery, clinical development, regulatory compliance, and operational efficiency — across both internal and external data sources.

You will define and promote the future-state vision for R&D data architecture — the City Plan — and guide the critical architectural decisions that shape our digital initiatives. That means owning the enterprise data model, defining master data sources, and ensuring integration across platforms, while also serving as the interface between R&D and enterprise I&T. The scope spans data, integration, automation, and AI.

Key responsibilities