Description

As an Information Architect, you will define and govern enterprise-level information architecture for R&D initiatives, including semantic data models, ontologies, and data governance standards. You'll collaborate with global teams on large-scale transformation programs in clinical planning, supply chain, and AI initiatives.

Requirements

• Proven experience as Information Architect in pharmaceutical or life sciences R&D environments
• Strong background in Information Architecture, Data Architecture (conceptual/logical), and Data Governance
• Hands-on experience with conceptual data modeling, semantic modeling, ontologies, and data integration
• Experience with Master Data Management (MDM) and Reference Data Management (RDM)
• Advanced level of English (spoken and written)

Responsibilities

• Define and maintain enterprise- and domain-level information architecture for R&D initiatives
• Develop and govern conceptual, logical, and semantic data models including ontologies and Master/Reference Data
• Establish data governance standards, principles, and patterns within delivery teams
• Support large-scale R&D transformation programs such as clinical planning, supply chain, and AI initiatives
• Facilitate architecture workshops and collaborate with senior stakeholders across R&D, IT, and Data Office