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Sr Manager, IMSC Information Architecture Make​/Quality

Job in 6300, Zug, Kanton Zug, Switzerland
Listing for: Johnson & Johnson Innovative Medicine
Full Time position
Listed on 2026-08-12
Job specializations:
  • IT/Tech
    Information & Knowledge Management, Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 210000 CHF Yearly CHF 140000.00 210000.00 YEAR
Job Description & How to Apply Below

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, and solutions are personal.

Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Governance & Policy

Job Category

Professional

All Job Posting Locations

Latina, Italy, Leiden, Netherlands, Ringaskiddy, Cork, Ireland, Zug, Switzerland

Job Description

Johnson & Johnson is recruiting for a Sr Manager, IMSC Information Architecture Make/Quality
, located in Zug, CH. As we continue to build out our Data Strategy and Operations organization within Innovative Medicine Supply Chain, we are creating this role as part of the Information Architecture pillar. The role will help establish Information Architecture as a strategic capability that enables AI-ready, trusted, reusable, and context-rich information across IMSC domains. The Sr Manager, IMSC Information Architecture Make/Quality will lead and oversee information architecture with primary focus on Make and Quality functional domains.

This role will ensure that data assets are not only technically well designed, but also semantically aligned, discoverable, reusable, governed, and ready for analytics, automation, and AI. As Sr Manager, IMSC Information Architecture, you will ensure data assets are FAIR, AI-ready, and aligned with IMSC Information Architecture principles, standards, metadata requirements, semantic models, and the broader IMSC information architecture. You will develop and apply strategies to minimize duplication of information, clarify source of truth, establish shared business meaning, and strengthen consistency across supply chain functions, systems, and data assets.

A key focus will be building the business context layer that connects data, knowledge, metadata, taxonomy, ontology, and semantic relationships to enable trusted AI and better business outcomes. Your scope will span master data, transactional data, analytical data, metadata, business glossary definitions, semantic models, taxonomies, ontology structures, and knowledge graph patterns. You will help define how data is structured, described, connected, governed, and reused across the data asset lifecycle.

You will collaborate closely with functional business partners, Data Owners, Data Governance, Data Operations, J&J Technology, and ensure adherence to architecture partners to design scalable information models and data assets that maximize business value, improve data trust and discoverability, and create the foundation for AI-ready data across IMSC.

Key Responsibilities
  • Design and implement end-to-end FAIR and AI-ready data assets for Make/Quality 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…
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