Senior Manager, AI-Ready Data Architecture

Biopharma Careers; Madrid; Presencial; EUR 110.000 - 160.000; Jornada completa

Descripción de la vacante

Johnson & Johnson is recruiting for a Sr Manager, IMSC Information Architecture Plan & Source, located in Spain, ES. The role leads end-to-end information architecture across Plan & Source domains, ensuring data assets are FAIR, AI-ready, and governed to enable analytics and AI.

You will partner with Data Owners, Data Governance, Data Operations, and technology teams to design scalable information models and knowledge graphs, driving value across IMSC.

Formación

• 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.
• Energetic, accountable, curious, collaborative, and committed to continuous learning and capability building.

Responsabilidades

• 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.

Conocimientos

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

Information Technology Strategies

Leadership

Stakeholder Engagement

Strategic Thinking

Talent Management

Team Management

Descripción del empleo

Johnson & Johnson is recruiting for a Sr Manager, IMSC Information Architecture Plan & Source, located in Spain, ES. The role leads end-to-end information architecture across Plan & Source domains, ensuring data assets are FAIR, AI-ready, and governed to enable analytics and AI.

You will partner with Data Owners, Data Governance, Data Operations, and technology teams to design scalable information models and knowledge graphs, driving value across IMSC.