Information Architect (R&D Data & Semantic Architecture, Pharma)

TL;DR

Information Architect (R&D Data & Semantic Architecture): Define and maintain enterprise- and domain-level information architecture for R&D initiatives with an accent on conceptual, logical, and semantic data models including ontologies. Focus on establishing data governance standards, supporting large-scale transformation programs, and facilitating architecture workshops.

Location: Hybrid role with regular on-site presence in Barcelona, Spain

Company

Accelerator driving growth across Ibero-America, part of EPAM Group, combining global engineering with regional expertise in Cloud, Data & Analytics, AI, and digital transformation.

What you will do

• Define and maintain enterprise- and domain-level information architecture aligned with business capabilities and data strategy.
• Develop conceptual, logical, and semantic data models, ontologies, semantic layers, and Master/Reference Data models.
• Establish data governance standards and patterns within delivery teams as architecture assurance authority.
• Support R&D transformation programs in clinical planning, supply chain, regulatory submissions, AI, and data platforms.
• Define information architecture roadmaps and transition architectures for enterprise initiatives.
• Facilitate workshops and collaborate with senior stakeholders across R&D, IT, Data Office, and product teams.

Requirements

• Proven experience as Information Architect in pharmaceutical or life sciences R&D environments
• Strong background in Information Architecture, Data Architecture (conceptual/logical), and Data Governance
• Hands-on 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
• Advanced level of English (spoken and written)
• Strong stakeholder management, facilitation, and communication skills

Nice to have

• Experience with Enterprise Data Offices 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 standards like HL7 FHIR, CDISC, or eCTD
• Certifications such as CDMP, TOGAF, LeanIX, or equivalent

Culture & Benefits

• Permanent contract with competitive salary
• Flexible working model with remote options and flexible hours
• Personalized career plan, continuous learning, certifications, and English training
• Participation in stable projects with strong technical focus
• Strong focus on work-life balance
• Benefits package tailored to your needs