Director, EDO - Information Architecture, Commercial IT

About the role

AstraZeneca is strengthening the information foundations that connect its Commercial data, digital products, analytics and AI. As Director, EDO - Information Architecture, Commercial IT, you will define how information is modelled, connected and reused across the global Commercial organisation, turning complex business needs into practical models and standards. The role is based in Barcelona and works with colleagues across business, product, engineering, data and governance.

Key responsibilities

• Shape information architecture for major Commercial capabilities and programmes, turning business priorities into clear models, standards and decisions.
• Develop conceptual, logical and semantic models across operational systems, master data and data products.
• Create and maintain ontologies, taxonomies and controlled vocabularies using the EIA Ontology Framework and Playbook.
• Support programmes such as Customer 2030, Future CRM, One Data Foundation and Commercial AI so teams can reuse common concepts and build AI-ready information.
• Guide architecture decisions and embed privacy, consent, classification, ethics and governance into designs.
• Coach architects, analysts, engineers and product teams in semantic modelling and ontology adoption.
• Modernise ER/Studio assets into governed Metaphactory ontologies and promote reusable approaches across markets and programmes.

Required profile

• Practical experience in enterprise information or data architecture and a track record of turning strategy into implemented solutions.
• Experience in conceptual, logical and semantic modelling, including ontology or taxonomy design.
• Understanding of data governance topics such as privacy, consent, classification and data ethics.
• Ability to explain complex choices clearly and work collaboratively with business, product, engineering and governance colleagues.
• Relevant experience can come from pharmaceuticals, life sciences, healthcare, consumer, technology or other data-rich sectors; experience in Marketing, Medical, Customer Engagement, Commercial Excellence or Market Access is useful.

Required skills

• Knowledge of data lifecycles and approaches such as FAIR, TRUST or Data Mesh.
• Valuable but not expected: knowledge graphs, OWL, RDF, SKOS, SHACL, Metaphactory, Collibra, ER/Studio, cloud data platforms, master and reference data, CRM, HCP/HCO data, claims data, syndicated data and Agile delivery.

What we offer

• Employee benefits supporting wellbeing, development and life at work, according to local policy and eligibility.
• In-person collaboration combined with flexibility, working from the office on average at least three days per week.