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 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
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