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Job Function: Technology Enterprise Strategy & Security

Job Sub Function: Data Architecture

Job Category: People Leader

All Job Posting Locations: Madrid, Spain

- Design and implement end-to-end FAIR and AI-ready data assets for functional domains, spanning master data, transactional data, operational data, and analytics consumption needs.
- Lead conceptual and logical information modelling for assigned domains, ensuring that data assets reflect consistent business meaning, reusable structures, clear ownership, and alignment with IMSC Information Architecture standards.
- Define and apply Information Architecture principles, standards, and patterns across metadata, taxonomy, semantic modelling, ontology, business glossary, data assets design, and context layer development.
- Establish and maintain domain-level business semantics, including shared definitions, business terms, relationships, classifications, naming conventions, and mappings between business concepts, master data entities, and system representations.
- Support the development of the IMSC AI-ready context layer by connecting metadata, business meaning, relationships, rules, lineage, and knowledge structures that make data understandable and usable for analytics, automation, and AI.
- Partner with Data Owners and business process owners to ensure business ownership of data meaning, shared definitions, domain taxonomies, and reusable information models.
- Work closely with Data Governance to ensure that semantic definitions, metadata standards, data asset requirements, and information architecture policies are governed, adopted, and embedded into the data asset lifecycle.
- Collaborate with Data Operations and J&J; Technology partners to ensure information models are translated into scalable, technically feasible, and governed data assets within the approved IMSC data ecosystem.
- Provide Information Architecture oversight for strategic initiatives and architecture reviews, ensuring that new data assets are aligned to standards for meaning, ownership, reuse, metadata, discoverability, governance, and AI readiness.
- Contribute to the design and adoption of the IMSC Information Architecture operating model, including roles, responsibilities, decision rights, review criteria in architecture board, lifecycle processes, and federated ways of working.
- Support the establishment and adoption of metadata cataloguing practices, business glossary standards, lineage visibility, data contracts, and reusable templates that improve discoverability and trust.
- Lead ontology and knowledge graph implementation to create a coherent context layer.




- Identify and pilot opportunities to use AI-assisted and agentic AI capabilities to accelerate metadata curation, semantic modelling, taxonomy development, ontology creation, data asset design, and quality review processes.
- Create practical guidance, playbooks, and examples that help business and technology teams understand and apply Information Architecture standards across domains.
- Drive adoption and awareness of Information Architecture across IMSC by simplifying complex concepts, communicating the value of metadata and semantics, and supporting education for business and technology stakeholders.

Qualifications
- Experience working in pharmaceutical, healthcare, life sciences, supply chain, manufacturing, quality, or regulated data environments.
- Good knowledge of industry standards and practices related to data management and information architecture, including FAIR, IDMP, ISO standards, data mesh, domain-driven design, semantic layers, and knowledge graphs.
- In-depth experience in information architecture, data architecture, data modelling, or data management, with strong capability in conceptual and logical modelling across complex enterprise domains.
- Strong understanding of FAIR data principles, data product design, metadata management, business glossary, taxonomy, semantic modeling, ontology concepts, and knowledge graph patterns.
- Experience designing end-to-end data products across master data, transactional data, operational data, and analytics consumption layers.
- Strong understanding of how information architecture enables AI-ready data, including semantic consistency, contextual connectivity, metadata completeness, lineage, data ownership, and governed reuse.
- Experience working with data catalogues, metadata repositories, business glossaries, ontology tools, semantic layers, knowledge graph technologies, lakehouse platforms, or comparable data and information management capabilities.
- Familiarity with platforms and capabilities such as Alation, Databricks, Neo4j, TopBraid, SAP S/4HANA, SAP BDC, medallion architecture, or comparable enterprise data and semantic technologies.
- Ability to translate business needs into reusable information structures, shared definitions, domain models, data product requirements, and practical design guidance.
- Experience working in a federated operating model, partnering with Data Owners, Data Governance, Data Operations, and technology delivery teams.
- Experience supporting multi-year strategy, transformation, or technology deployment initiatives with focus on information management, data management, data products, analytics, or AI enablement.
- Strong ability to operate across business and technology stakeholders, simplify complex technical topics, and communicate the value of information architecture to senior and cross-functional audiences.
- Proven track record of building partnerships, influencing without authority, inspiring change, and delivering results across complex global ecosystems.
- Experience creating standards, playbooks, templates, architecture review criteria, or adoption materials for business and technology audiences.
- Good knowledge and understanding of data governance, data quality, data contracts, data product certification, lineage, access controls, and operating models for governed data products.




- Good knowledge and understanding of using automation, AI-assisted workflows, or agentic AI capabilities to accelerate data modelling, metadata curation, semantic modelling, or data quality processes. xqbhyrx
- Energetic, accountable, curious, collaborative, and committed to continuous learning and capability building.

Other

Requires up to 10% of international travel

Required Skills

- Business Alignment
- Business Architecture
- Data Architecture Development
- Data Migrations
- Data Savvy
- Data Visualization
- Developing Others
- Digital Marketing Technology
- Enterprise IT Governance
- Inclusive Leadership
- Information Security Management System (ISMSAll Job Posting Locations: Madrid, Spain0All Job Posting Locations: Madrid, Spain1All Job Posting Locations: Madrid, Spain2All Job Posting Locations: Madrid, Spain3All Job Posting Locations: Madrid, Spain4All Job Posting Locations: Madrid, Spain5All Job Posting Locations: Madrid, Spain6All Job Posting Locations: Madrid, Spain7All Job Posting Locations: Madrid, Spain8All Job Posting Locations: Madrid, Spain9

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📌 Sr Manager, Information Architecture Plan & Source (Madrid)
🏢 7300-Janssen-Cilag S.A. Legal Entity
📍 Madrid