Information Architect – R&D Data & Semantic Architecture (Hybrid Barcelona)Barcelona, SpainWork model: Hybrid role with regular on-site presence in Barcelona and close collaboration with global 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.RequirementsMandatory- 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 Enterprise Data Offices (EDO) or formal data governance organizations.- Knowledge of Data Mesh and Data Product operating models.- Exposure to AI/ML governance, metadata management, or data catalog initiatives.- Experience in regulatory, clinical, or late-stage R&D domains.- Familiarity with industry standards such as HL7 FHIR, CDISC, or eCTD.- Certifications such as CDMP, TOGAF, LeanIX, or equivalent.What We Offer- Permanent contract with a competitive salary- Flexible working model with remote work options- Personalized career plan and continuous learning (certifications, English training, etc.)- Participation in stable projects with a strong technical focus- Flexible working hours and a strong focus on work–life balance- Benefits package tailored to your needs#J-18808-Ljbffr