Experteer Overview

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As Sr Manager, IMSC Information Architecture Plan u0026amp; Source, you will shape the information architecture across Innovative Medicine Supply Chain to deliver AI-ready, trusted data assets. You will collaborate with business and technology partners to design scalable, semantically aligned data structures and governance. You will lead end-to-end modelling and ontologies that enable analytics, automation, and AI at scale.

This is a chance to influence data strategy in a globally impactful healthcare environment.

Compensaciones / Beneficios

- Design and implement end-to-end FAIR and AI-ready data assets for functional domains, including master, transactional, operational, and analytical data
- Lead conceptual and logical information modelling for assigned domains with clear ownership and reusable structures
- Define and apply IA principles, standards, and patterns across metadata, taxonomy, semantic modelling, ontology, business glossary, and data asset design
- Establish and maintain domain-level business semantics, including definitions, terms, and mappings
- Support development of the AI-ready context layer by connecting metadata, business meaning, relationships, lineage, and knowledge structures
- Collaborate with Data Owners and process owners to ensure shared ownership of data meaning and reusable models
- Work with Data Governance to embed semantics, metadata standards, and asset lifecycle governance
- Partner with Data Operations and Ju0026J Technology to translate models into governed data assets




- Provide IA oversight for strategic initiatives and architecture reviews to ensure AI readiness and metadata quality
- Contribute to the IA operating model, roles, lifecycle processes, and federated working approaches
- Support metadata cataloguing, glossary standards, lineage visibility, data contracts, and reusable templates
- Lead ontology and knowledge graph implementation for a coherent context layer
- Identify and pilot AI-assisted capabilities to accelerate metadata curation and modelling
- Create guidance, playbooks, and examples to apply IA standards across domains
- Drive IA adoption by simplifying concepts and communicating value to stakeholders
- Build awareness of metadata and semantics through education for business and technology teams
- Establish and maintain data governance, data quality, data contracts, and lineage practices
- Champion automation and AI-assisted workflows to accelerate data modelling and quality processes
- Operate with energy, accountability, curiosity, and collaboration to enable capability building

Responsabilidades

- Experience in pharmaceutical, healthcare, life sciences, supply chain, manufacturing, quality, or regulated data environments
- Knowledge of FAIR, IDMP, ISO standards, data mesh, domain-driven design, semantic layers, and knowledge graphs




- Strong experience in information architecture, data architecture, data modelling, or data management
- Deep understanding of FAIR data principles, data product design, metadata management, glossary, taxonomy, and ontology concepts
- Experience designing end-to-end data products across multiple data domains
- Understanding of how IA enables AI-ready data with semantic consistency and governance
- Experience with data catalogues, metadata repositories, glossary, xugodme ontology tools, semantic layers, knowledge graphs, lakehouse platforms
- Familiarity with Alation, Databricks, Neo4j, TopBraid, SAP S/4HANA, SAP BDC, or similar tools
- Ability to translate business needs into reusable information structures and domain models
- Experience in federated operating models and cross-functional partnerships
- Experience supporting multi-year strategy and technology deployments in information management, data products, analytics, or AI
- Strong communication skills to simplify complex topics for senior stakeholders
- Proven track record of cross-functional influence and delivering results across integral ecosystems
- Experience creating standards, templates, and adoption materials for business and technology
- Knowledge of data governance, data quality, data contracts, lineage, access controls, and operating models for governed data products
- Familiarity with automation and AI-assisted workflows to accelerate data modelling and quality
- Energetic, accountable, curious, collaborative with a commitment to continuous learning

Requisitos principales

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📌 Sr Manager, Information Architecture Plan & Source (Madrid)
🏢 Johnson u0026 Johnson
📍 Madrid