Senior Information Architect – Research & Development
Core
Define and govern enterprise ontologies, taxonomies, and semantic models to make R&D knowledge discoverable, interoperable, and AI-ready for breakthrough medicines.
Role type
Senior Enterprise Information Architect (R&D)
Builds
Enterprise knowledge layers, ontologies, taxonomies, canonical models, and metadata standards for R&D data products.
Domain
Pharmaceutical R&D / Semantic Web / Knowledge Graphs
Deliverable
production ML models
Required skills
Ontology and taxonomy design, Semantic modelling (RDF, OWL, SKOS, SHACL), Data Mesh principles, FAIR/TRUST data principles, Enterprise architecture governance, Data lifecycle management, Cloud containerization strategies, Knowledge graph architecture, Regulatory governance (GxP, privacy, data ethics), Stakeholder engagement and change leadership.
Preferred skills
Post-graduate degree in MIS/Data Management/Knowledge Engineering, Experience with pharma standards (CDISC, IDMP, SNOMED CT, MedDRA, LOINC, UMLS, ChEBI, OMOP, HL7 FHIR), Agile data definition scrums, Matrix-based environment experience, R&D lifecycle function experience (Target Identification, CMC, Clinical Development, etc.), Community of practice establishment.
Technologies
RDF, OWL, SKOS, SHACL, Metadata cataloguing tools, Data modelling tools, EA tools, Graph platforms, HL7 FHIR, CDISC SDTM.
Responsibilities
Lead semantic architecture and define ontology/assets, Drive enterprise modelling and standards, Curate ontologies and taxonomies, Lead transformation to reusable semantics, Champion FAIR/TRUST and Data Mesh, Partner on R&D strategy, Ensure conformance to standards via design reviews, Define architectures for AI/ML use cases, Lead architectural governance and education, Support data integration with reference models, Enable data governance metrics, Manage work packages and demand.
Seniority
Senior, hands-on IC with strategic partnership
