Related skills
information architecture data governance data architecture mdm semantic modeling📋 Description
- Define enterprise- and domain-level information architecture for R&D, aligned with data strategy.
- Develop and govern conceptual, logical, and semantic data models, including ontologies.
- Establish data governance standards, principles, and patterns within delivery teams.
- Support large-scale R&D transformations (AI, regulatory, data platform modernization).
- Define information architecture roadmaps and transition architectures.
- Facilitate architecture workshops translating concepts into business outcomes.
🎯 Requirements
- Proven Information Architect experience in pharma or life sciences R&D.
- Strong background in IA, Data Architecture, and Data Governance.
- Hands-on in conceptual data modeling, semantic modeling, ontologies, and data integration.
- Solid experience with MDM and RDM.
- Experience leading enterprise- or domain-level transformation programs.
- Advanced English (spoken and written).
🎁 Benefits
- Permanent contract with a competitive salary
- Flexible working model with remote work options
- Personalized career plan and continuous learning
- Participation in stable projects with a strong technical focus
- Flexible working hours and work–life balance
- Benefits package tailored to your needs
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