Director, EDE – Information Architecture, Commercial IT
AstraZeneca is hiring a Director, EDE – Information Architecture, Commercial IT in Barcelona, Spain. Level rates it ; you can apply on AstraZeneca.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions Metaphactory, Er Studio and AI safety among its tools and skills.
- Level classes it as a lead role.
- AstraZeneca has 1,300+ other open roles on Level.
AI in this role
Shape enterprise information architecture and semantic models to support commercial data, analytics, and AI initiatives.
Director, EDO – Information Architecture, Commercial IT
Introduction to the role
At AstraZeneca, we are strengthening the information foundations that connect our Commercial data, digital products, analytics and AI.
As Director, EDO – Information Architecture, Commercial IT, you will shape how information is defined, connected and reused across our global Commercial organisation. You will translate complex business needs into practical models and standards that help our teams make better use of trusted information.
Based in Barcelona, you will work with colleagues across business, product, engineering, data and governance. Together, we will create consistent approaches that improve interoperability, reduce duplication and prepare our information landscape for analytics and responsible AI.
What you’ll do
In this role, you will:
- Shape information architecture for major Commercial capabilities and programmes, translating 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 our EIA Ontology Framework and Playbook.
- Support programmes including Customer 2030, Future CRM, One Data Foundation and Commercial AI, helping our teams reuse common concepts and create AI-ready information.
- Guide architecture decisions and assurance while embedding privacy, consent, classification, ethics and governance into designs.
- Coach architects, analysts, engineers and product teams in semantic modelling and ontology adoption.
- Help modernise relevant ER/Studio assets into governed Metaphactory ontologies and encourage reusable approaches across markets and programmes.
What you’ll bring
We are looking for practical experience in enterprise information or data architecture and a track record of turning strategy into implemented solutions.
You will bring experience in conceptual, logical and semantic modelling, including ontology or taxonomy design. You will also understand data governance topics such as privacy, consent, classification and data ethics.
Knowledge of data lifecycles and approaches such as FAIR, TRUST or Data Mesh will help you succeed. Just as importantly, you will be able to explain complex choices clearly and work collaboratively with business, product, engineering and governance colleagues.
Additional experience
We value different career paths and recognise that relevant experience can come from pharmaceuticals, life sciences, healthcare, consumer, technology or other data-rich sectors.
Experience with some of the following would be valuable, but we do not expect you to have worked with all of them: 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.
Experience supporting Marketing, Medical, Customer Engagement, Commercial Excellence or Market Access would also be useful.
What we offer
We want our people to have the support and flexibility they need to do their best work. We offer employee benefits that support wellbeing, development and life at work, with specific benefits based on local policies and eligibility.
For this role, we combine in-person collaboration with flexibility. You will work from the office an average of at least three days each week, balanced with individual and business needs.
Why AstraZeneca
We bring together expertise across science, technology, data and Commercial teams to improve how information is used across our organisation.
You will have opportunities to work with AI, machine learning, knowledge graphs and modern data platforms, contribute to global programmes and learn alongside specialists from different disciplines.
Your work will provide information foundations that make data easier to understand, connect and use across our global organisation.
Equal opportunity and reasonable accommodation
We are committed to equal opportunity and an inclusive recruitment experience.
Join us
Bring your expertise in information architecture and help us create connected, trusted information that supports better decisions, analytics and responsible AI.
Apply to join our team in Barcelona.
Date Posted
27-Oct-2026Closing Date
05-Nov-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
How we rate this
Director, EDE – Information Architecture, Commercial IT at AstraZeneca rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where information architecture was part of your work. What did you do?
- Tell me about a project where semantic modelling was part of your work. What did you do?
- Tell me about a project where ontology design was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Safety, Information Architecture, Semantic Modelling, Ontology Design, and Data Governance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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