R&D Data Architect

About the role

The R&D Data Architect will design and manage the data architecture that connects scientific discovery, clinical development, regulatory compliance and operational efficiency. This brand‑new position is central to turning CSL R&D’s data and AI ambitions into reality, working across internal and external data sources.

Key responsibilities

• Lead the design, development and evolution of the R&D data architecture.
• Collaborate with R&D Architecture Lead, Head of R&D Data Strategy, digital business partners, scientists, engineers and product teams to align architecture with R&D goals and overall business strategy.
• Provide technical leadership and oversight to data engineering teams implementing the architecture vision.
• Drive adoption of modern data architecture approaches such as Data Mesh, Data Products, Semantic Layers and Knowledge Graphs.
• Evaluate emerging data trends and propose innovations to enhance R&D productivity and enable next‑generation research solutions.
• Ensure architectural compliance with security, scalability and regulatory standards.
• Mentor technical teams and promote best practices in data architecture across projects.
• Partner with I&T Enterprise Data teams to align R&D with CSL strategic direction.

Required profile

• Technical implementation experience, for example delivering Data Products or a Semantic Layer.
• Proven ability to provide technical oversight to data engineering teams.
• Understanding of security, scalability and regulatory compliance requirements for data architecture.

Required skills

• Data Mesh
• Data Products
• Semantic Layers
• Knowledge Graphs