Information Architect – R&D; Data & Semantic Architecture (Hybrid Barcelona)
Barcelona, Spain
Work model: Hybrid role with regular on-site presence in Barcelona and close collaboration with general teams.
Key Responsibilities
- Define and maintain enterprise- and domain-level information architecture for R&D; initiatives, aligned with business capabilities and data strategy.
- Develop and govern conceptual, logical, and semantic data models, including ontologies, semantic layers, and Master and Reference Data models.
- Establish and embed data governance standards, principles, and patterns within delivery teams, acting as an architecture assurance authority.
- Support large-scale R&D; transformation programs (clinical planning, supply chain, regulatory submissions, AI initiatives, and data platform modernization).
- Define information architecture roadmaps and transition architectures aligned with enterprise transformation initiatives.
- Facilitate architecture and modeling workshops, translating complex semantic and technical concepts into clear, business-aligned outcomes.
- Collaborate with senior stakeholders across R&D;, IT, Data Office, and product teams, mentoring architects and data modelers as required.
Requirements
Mandatory
- Proven experience as an Information Architect within pharmaceutical or life sciences R&D; environments.
- Strong background in Information Architecture, Data Architecture (conceptual and logical focus), and Data Governance.
- Hands‑on experience with conceptual data modeling, semantic modeling, ontologies, and data integration.
- Solid experience with Master Data Management (MDM) and Reference Data Management (RDM).
- Experience supporting or leading enterprise- or domain-level transformation programs.
- Ability to define architecture principles, standards, and roadmaps.
- Strong stakeholder management, facilitation, and communication skills.
- Advanced level of English (spoken and written).
Nice to have
- Experience working with Enterpri