Senior Manager, AI-Ready Information Architecture

Biopharma Careers

Madrid

Presencial

EUR 75.000 - 129.000

Jornada completa

Hace 8 días

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Descripción de la vacante

Johnson & Johnson is recruiting for a Sr Manager, IMSC Information Architecture Deliver, based in Spain. You will lead end-to-end information architecture efforts across master, transactional, and analytical data, ensuring AI-ready, semantically aligned assets that support analytics and automation.

The role requires deep experience in data architecture, modeling, and governance, with collaboration across Data Owners, Governance, Operations, and Technology to translate concepts into scalable data

Formación

Experience in pharmaceutical, healthcare, life sciences, supply chain, manufacturing, quality, or regulated data environments.

Responsabilidades

Design and implement end-to-end FAIR and AI-ready data assets for functional domains.
Lead conceptual and logical information modelling for assigned domains.
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.