The Taxonomy Lead for Data is responsible for designing, governing, and maintaining MedTech taxonomy and data classification standards.This includes organizing product, clinical, regulatory, commercial, and supply chain datasets in a way that improves discoverability, interoperability, and compliance across the device lifecycle.The role sits at the intersection of Data Governance, Regulatory Affairs, RCD, Quality, Medical Affairs, Supply Chain and Commercial teams. You will ensure that data terminology is harmonized across the organization, enabling trusted analytics, safer products, regulatory submissions, and enhanced digital health capabilities.Key ResponsibilitiesMedTech-specific Taxonomy s Metadata FrameworksDevelop and maintain taxonomies that support MedTech domains such as:Product classification (UDI, GMDN, EUDAMED, IMDRF codes)Clinical and procedural vocabularies (SNOMED CT, ICD-10, CPT)Quality and safety taxonomies (complaints, NCs, CAPA categories)Manufacturing and supply chain classificationsDigital health and device telemetry metadataDefine metadata standards that support device lifecycle management, clinical evidence generation, regulatory submissions, and post-market surveillance.Regulatory s Compliance AlignmentEnsure taxonomy and data classification structures meet expectations from regulators such as FDA, EMA, MHRA, and EU MDR/IVDR.Support compliance with data-related regulations (HIPAA, GDPR, MDR Article 33, etc.).Maintain audit-ready documentation for taxonomy governance and change management.Cross-Functional CollaborationPartner with RCD, Regulatory, Quality, Clinical, and Supply Chain teams to understand data requirements and harmonize terminology across business units.Work with technical teams to embed taxonomy in data platforms, digital tools, and device software ecosystems.Facilitate workshops with SMEs to validate taxonomy changes and ensure sector alignment (e.g., with clinical and scientific vocabularies).Tooling s Technology EnablementEmbed taxonomy into MedTech data systems, such as:Support integration with automated metadata tagging, artificial intelligence, or natural language processing for classification of clinical notes, complaints, and technical documents.Monitor taxonomy usage across systems to ensure consistent tagging of device, clinical, regulatory, and quality data.Review feedback, identify gaps, and drive iterative improvements.Maintain training materials and guidelines for global teams to ensure adoption.Required Skills Experience EssentialExperience in taxonomy design, metadata frameworks, or information architecture within a healthcare, MedTech, pharmaceutical, or regulated environment.Strong understanding of clinical coding systems (e.g., SNOMED CT, ICD-10, GMDN).Working knowledge of medical device regulatory requirements (MDR, FDA 21 CFR Part 820, UDI).Experience working with data governance, RIM systems, metadata management, or product lifecycle platforms.Strong analytical and conceptual skills, with ability to simplify complex MedTech terminology.Stakeholder engagement across scientific, clinical, and business functions.Experience with real-world data (RWD), clinical evidence, post-market surveillance, or digital health datasets.Familiarity with ontologies and semantic models for health and device data.Knowledge of AI-assisted metadata tagging, ML classification, or semantic search.Understanding of manufacturing, supply chain, or quality system data structures.Regulatory awareness – understands risk, compliance, and device lifecycle.Master Data Management– comfortable with E2E data flows.Data governance mindset – champions consistency, quality, and stewardship.Systems thinking – sees relationships across product, patient, and process data.Communication – able to engage with clinicians, engineers, regulatory experts, and data scientists.Precision s accuracy – essential in a safety-critical environment.Value This Role Brings to a MedTech OrganizationStrengthens data integrity for regulatory submissions and audits.Improves post-market surveillance, safety signal detection, and complaint investigations.Enables consistent reporting across RCD, Quality, Regulatory, and Commercial functions.Enhances data discoverability for clinical evidence generation and real-world data analysis.Supports digital innovation (connected devices, AI-enabled insights, remote monitoring).Reduces risk caused by inconsistent or siloed terminology.Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status
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