Sr Manager, IMSC Information Architecture Make/Quality (Data Architecture)

Location: Zug, Switzerland; up to 10% international travel

Company

Johnson & Johnson MedTech develops healthcare and medical technology solutions as part of Johnson & Johnson’s broader healthcare innovation organization.

What you will do

• Design and implement FAIR, AI-ready data assets for Make and Quality domains across master, transactional, operational, and analytics data.
• Lead conceptual and logical information modeling, defining reusable structures, ownership, business terms, classifications, and system mappings.
• Establish standards for metadata, taxonomies, semantic models, ontologies, business glossaries, data contracts, lineage, and governed data products.
• Build an AI-ready context layer connecting metadata, business meaning, relationships, rules, lineage, and knowledge structures.
• Lead ontology and knowledge graph implementation and assess AI-assisted and agentic AI opportunities for metadata curation, semantic modeling, and quality processes.
• Partner with Data Owners, Data Governance, Data Operations, technology teams, and architecture stakeholders to drive adoption and provide guidance, playbooks, and architecture oversight.

Requirements

• Experience in information architecture, data architecture, data modeling, or data management across complex enterprise domains.
• Strong knowledge of FAIR data principles, metadata management, business glossaries, taxonomies, semantic modeling, ontologies, knowledge graphs, and data governance.
• Experience designing end-to-end data products across master data, transactional data, operational data, and analytics consumption layers.
• Experience with data catalogues, metadata repositories, semantic layers, ontology tools, knowledge graph technologies, lakehouse platforms, or comparable capabilities.
• Experience in pharmaceutical, healthcare, life sciences, supply chain, manufacturing, quality, or regulated data environments.
• Experience working with federated operating models and cross-functional business and technology stakeholders, including standards, playbooks, architecture reviews, and transformation initiatives.

Nice to have

• Familiarity with Alation, Databricks, Neo4j, TopBraid, SAP S/4HANA, SAP BDC, medallion architecture, or comparable technologies.
• Knowledge of IDMP, ISO standards, data mesh, and domain-driven design.
• Experience using automation, AI-assisted workflows, or agentic AI for data and information management.

Culture & Benefits

• Full-time employment within a global healthcare innovation organization.
• Work across business, data governance, data operations, technology, and architecture functions.
• Inclusive work environment focused on individual dignity, diversity, collaboration, and continuous learning.
• International travel of up to 10% may be required.