Knowledge Graph and Semantic Governance Manager
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Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Location: Barcelona - Spain (3 days working from the office and 2 days working from home)
Global Operations Data Office leads the transformation to AIready data that powers Ops 2030. We enable trusted structured contextualized data and scalable data products delivered responsibly. We partner across Pharmaceutical Technology & Development Manufacturing Global Engineering Quality Sustainability Global Supply Chain and Procurement operating from hubs in the UK Sweden US China and Global Technology Centres in India and Mexico. Our work directly impacts patients by accelerating digital data and AIdriven operations.
About the Role
We are hiring a Knowledge Graph and Semantic Governance Manager to lead the delivery of the semantic layer strategy for Global Operations. You will:
Set the semantic strategy and framework for building ontologies and knowledge graphs guiding standards platforms and engineering practices. Understand the way the LLMs consume and reason over structured knowledge and take this into consideration of the overall sematic strategy and framework.
Design and deliver ontologydriven models and embed semantic capabilities into data products and analytics across manufacturing supply chain and development. This will require close collaboration with AI/ML engineers and data scientists who builds solutions but also enterprise teams who are shaping and governing the semantic layer.
Youll collaborate closely with Operations IT R&D Semantic Engineering and the Enterprise Data Office to deliver FAIR interoperable data that scales AI and automation.
Govern Global Operations knowledge graphs and ontologies built in alignment with the Global Operations reference model.
Define the governance Framework for Knowledge graphs and ontologies for Global Operations.
What Youll Do
Leadership & Strategy: Design and evolve the semantic strategy and framework for Global Operations; establish and chair/co-chair governance for Global Operations knowledge graphs; define standards lifecycle versioning and stewardship; track and introduce best practices in knowledge representation. Understand how LLMs consume and reason over structured knowledge.
Semantic Architecture & Modelling: Set direction for ontology and metadata modelling across Global Operations; oversee design of ontologies taxonomies and reference data; ensure alignment with the Operations Reference Data Model and enterprise architecture; guide use of RDF/OWL SKOS SHACL and property graphs (e.g. Neo4j). This requires close collaboration with other teams across AZ enterprise (i.e. other Set area Data Offices Enterprise Data Office Enterprise Architecture AI/ML engineers and data scientists)
Build Ontologies: Be part of the team that build ontologies enabling the Ops 2030 use cases
Product and Platform Enablement: Collaborate with It to embed semantic standards into data products APIs and integrations; partner with product teams to enable highvalue use cases; influence enterprise selection and use of platforms (GraphDB Neptune etc.) and tools (Protégé VocBench Metaphactory).
What Youll Need
Deep experience leading semantic data/knowledge graph programs in complex global environments with delivery of production solutions.
Proven stakeholder management skills
Expertise in ontology engineering and semantic web standards (RDF OWL SKOS SHACL SPARQL) and familiarity with property graph modelling and Cypher.
Strong background in metadata taxonomy/thesaurus development and terminology standardization.
Proven ability to translate business capabilities into semantic models and data products; effective engagement with both technical and nontechnical stakeholders.
Solid programming/automation skills and modern engineering practices; Git/GitHub for version control.
Bachelors degree in computer science Information Systems Data Engineering or related; Masters preferred.
Desirable
Knowledge of FAIR principles data governance and enterprise data architecture.
Handson experience with Neo4j/Cypher and semantic platforms (GraphDB Amazon Neptune); tools such as Protégé VocBench Metaphactory.
Exposure to manufacturing and industrial data (ERP MES IoT; Cognite Data Fusion).
Experience applying graphs in AI/ML (embeddings reasoning LLM integration).
Why Join Us
Join a team with the mandate and investment to scale data and AI across Global Operations. Your work will directly impact patients by accelerating how we develop and deliver lifechanging medicines. Youll lead crosscompany changebuilding partnerships and ecosystems modernizing ways of working and delivering semantic foundations that drive speed interoperability and smarter decisions.
When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Are you ready to make a difference Apply now and join us in our mission to change lives.
Date Posted
25-mar-2026Closing Date
29-mar-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.
Required Experience:
Manager
Key Skills
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
