Senior Enterprise Information Architect
- R&D; Are you ready to architect the semantic foundation that powers AI across R&D; and accelerates breakthrough medicines to patients? Step into a senior role where you will define how data becomes connected knowledge across complex scientific, clinical and operational domains. Based in Barcelona, you will be a key member of a general information architecture practice, leading the design and governance of ontologies, taxonomies, canonical models and metadata standards that make R&D; knowledge discoverable, interoperable and AI-ready. You will partner with technology and R&D; leaders to connect business capabilities end to end, ensuring our most critical data products and platforms align to strategy and deliver measurable value. Can you lead the shift from fragmented, project-specific models to a reusable enterprise knowledge layer that scales across the portfolio? shape architectural scope and ways of working for information technology. benchmark against leading practices and maintain coherent blueprints for projects and domains. Define and curate enterprise ontologies, taxonomies, controlled vocabularies and semantic layers that connect knowledge across platforms, data products and knowledge graphs. Transformation to Reusable Semantics: Lead the transformation from project-specific models to reusable enterprise semantic and context assets with clear standards, governance, tooling, adoption pathways and measurable capability uplift. FAIR/TRUST and Data Mesh Enablement: Champion FAIR and TRUST data principles; align information architecture outputs to a Data Mesh operating model to improve data product discoverability and interoperability. assure project designs for conformance to enterprise ontology and metadata standards through blueprints and design reviews.



AI-ready Data and Analytics Patterns: Select and define architectures for reporting, analytics, data science, digital and AI/ML use cases emphasizing semantic consistency, metadata, lineage, quality and interoperability; develop architectural decisions and progress work through forums and councils; Data Integration and Reference Models: Support or lead data integration architecture grounded in canonical and semantic reference models; enforce standard enterprise data element names, characteristics and domains across project lifecycles. Metrics and Data Governance Enablement: Partner with the Data Office to embed governance in IA builds and provide assurance via standardized metrics, including master data consumption, classification metadata, ontology adoption and semantic coverage. coordinate demand and recharge in partnership with practice leadership, project managers and business partners. Bachelor's Degree or equivalent number of years of experience in a Computer Science, Data Management or relevant scientific field. Experience in leading and delivering enterprise data platform and enterprise information architectural thinking, and its practical application. Experience in the use of conceptual, logical and semantic data modelling technologies, including ontology and taxonomy design. Experience in defining and working with information and data regulatory governances (e.g. GxP, privacy, data ethics).



The role holder will possess a blend of data/information architecture, analysis, and engineering skills. Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. FAIR data principles, TRUST, Data Mesh). Understanding of ontologies, semantic layers, knowledge graphs and canonical information models, and how they enable discoverability, interoperability and AI-ready data. Understands Data Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Understanding the appropriate data structure and technology based on business use case and completely familiar with data lifecycles. Post-graduate degree in MIS, Data Management, Knowledge Engineering or equivalent domain. Extensive experience in a senior information/data architecture role with practical examples of designing and providing end-to-end and point data architecture designs or blueprints that have been delivered and implemented for substantial real world use cases. Experience of Information and Data Governance frameworks and their application in a commercial or regulated organisation. Experience in Agile data definition scrums. Experience in the use of tooling, e.g. metadata cataloguing tools, data modelling tools, ontology/semantic modelling tools (e.g. Understanding of, or familiarity with, Data Mesh approaches (as distinct from Data Fabric or Data Platform). Target Identification and Validation, Lead Compound Generation and Optimization, Chemistry Manufacturing & Controls (CMC), Precision Medicine and Bio Sample Management, Pre-Clinical Development, Cell and Gene Therapy, Clinical Development, Regulatory Affairs, Patient Safety, R&D; Quality, Real World Evidence, R&D; Project an

📌 Senior Information Architect (Barcelona)
🏢 AstraZeneca
📍 Barcelona