Taxonomy Manager

Employment Type: Full-Time – 12-Month Fixed Term Contract (FTC)

Start Date: Immediate

Extension: Potential for extension based on programme needs

A leading global healthcare and medical technology organisation is seeking a Taxonomy Lead – Data to support the development and governance of enterprise data classification standards within its Medical Technology division.

This role sits within the organisation’s Global Data and Digital Transformation function and will play a key role in structuring and governing data across the medical device lifecycle. The successful candidate will ensure consistent terminology, classification frameworks, and metadata standards are applied across product, clinical, regulatory, quality, and supply chain datasets.

The position requires strong collaboration across Regulatory Affairs, R&D, Quality, Medical Affairs, Supply Chain, and Commercial teams, enabling trusted analytics, improved regulatory compliance, and enhanced digital health capabilities.

The Taxonomy Lead for Data will be responsible for designing, implementing, and maintaining taxonomy and metadata frameworks across the organisation’s MedTech data landscape.

The role focuses on ensuring that complex datasets related to medical devices, clinical evidence, regulatory submissions, product lifecycle management, and quality systems are consistently structured, discoverable, and compliant with global regulatory requirements.

The individual will work closely with data governance teams, domain experts, and technical teams to embed taxonomy standards into data platforms and operational processes.

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• Design and maintain taxonomy frameworks supporting key MedTech domains, including:
  
• Product classifications (e.g., UDI, GMDN, EUDAMED, IMDRF codes)
  
• Clinical and procedural vocabularies (e.g., SNOMED CT, ICD-10, CPT)
  
• Quality and safety classifications (complaints, non-conformances, CAPA categories)
  
• Manufacturing and supply chain data structures
  
• Digital health and connected device metadata
  
• Establish and maintain metadata standards that support device lifecycle management, clinical evidence generation, regulatory submissions, and post-market surveillance.
  
• Ensure taxonomies enable improved data discoverability, interoperability, and analytics across enterprise platforms.
  

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• Ensure taxonomy frameworks align with regulatory expectations from global authorities such as FDA, EMA, MHRA, and EU MDR/IVDR.
  
• Support compliance with data privacy and governance regulations, including GDPR and other healthcare data standards.
  
• Maintain audit-ready documentation for taxonomy governance, data classification standards, and change management processes.
  

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• Partner with R&D, Regulatory Affairs, Quality, Clinical, Supply Chain, and Commercial teams to understand domain-specific data requirements.
  
• Harmonise terminology across different business functions and systems.
  
• Facilitate workshops with subject matter experts to validate taxonomy structures and updates.
  
• Align internal taxonomy frameworks with recognised clinical and scientific vocabularies.
  
• Embed taxonomy frameworks within enterprise data platforms and tools, including:
  
• Metadata management systems
  
• Support integration with automated metadata tagging technologies, including artificial intelligence and natural language processing tools.
  
• Enable classification and tagging of clinical documents, complaints, technical reports, and regulatory documentation.
  
• Monitor the use of taxonomy standards across systems and teams to ensure consistent data classification.
  
• Identify gaps or inconsistencies and drive continuous improvements.
  
• Develop documentation, governance processes, and training materials to support global adoption.
  
• Provide guidance to business and technical teams on taxonomy usage and governance.
  

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• Experience designing taxonomy frameworks, metadata models, or information architecture in a healthcare, life sciences, MedTech, or other regulated environment.
  
• Strong understanding of clinical coding systems such as SNOMED CT, ICD-10, or GMDN.
  
• Familiarity with medical device regulatory frameworks, including MDR, UDI, or FDA quality system requirements.
  
• Experience working with data governance frameworks, metadata management tools, or product lifecycle systems.
  
• Strong analytical and conceptual skills with the ability to structure complex domain terminology.
  
• Experience engaging cross-functional stakeholders across clinical, scientific, and business teams.
  
• Experience working with real-world data (RWD), clinical evidence generation, or post-market surveillance datasets.
  
• Knowledge of ontologies, semantic data models, or knowledge graphs for healthcare data.
  
• Familiarity with AI-assisted metadata tagging, machine learning classification, or semantic search technologies.
  
• Understanding of manufacturing, supply chain, or quality management system data structures. xcfaprz
  
• Data Governance & Metadata Management
  
• Regulatory Awareness (Medical Device Lifecycle)
  
• Master Data Management
  
• Cross-Functional Collaboration
  
• Systems Thinking & Data Relationships
  
• Stakeholder Engagement
  
• Clear Communication Across Technical and Scientific Teams
  
• Precision & Attention to Detail
  

This role plays a critical part in strengthening the organisation’s data governance and regulatory readiness across the MedTech lifecycle.

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• Improving data integrity for regulatory submissions and audits
  
• Strengthening post-market surveillance and safety signal detection
  
• Enabling consistent reporting across R&D, Quality, Regulatory, and Commercial teams
  
• Enhancing data discoverability for clinical evidence and real-world data analysis
  
• Supporting digital innovation, including connected medical devices and AI-driven insights
  
• Reducing operational and compliance risk caused by inconsistent terminology or siloed data structures