Kelly Science, Engineering, Technology & Telecom · 6 hours ago
Data & Business Taxonomy Lead
Kelly Science, Engineering, Technology & Telecom is seeking a Data & Business Taxonomy Lead who will play a strategic role in shaping and governing the enterprise information landscape. This role is responsible for defining and sustaining business taxonomies and data standards while ensuring data quality and usability across the organization.
Responsibilities
Own the design, development, and maintenance of enterprise‑wide business taxonomies, controlled vocabularies, and metadata standards
Translate complex business, regulatory, and technical requirements into structured, scalable taxonomy models
Partner with subject matter experts to harmonize terminology across functions, regions, and systems
Serve as the taxonomy representative within the Data Office, ensuring alignment to enterprise data governance policies and frameworks
Establish and enforce metadata standards, naming conventions, and classification models across RA, R&D, and related domains
Ensure taxonomies support regulatory needs, including EU MDR, EUDAMED, UDI/GUDID, and privacy requirements (GDPR, HIPAA)
Collaborate with data stewards to define data quality rules, validation processes, and lineage requirements tied to taxonomy structures
Monitor taxonomy adoption and drive remediation for inconsistencies, duplication, or gaps in metadata
Partner with enterprise architects and system owners to embed taxonomies into digital platforms, data lakes, master data systems, and analytics tools
Support metadata management technologies (e.g., data catalogues, governance platforms) and improve user experience and findability of key data assets
Ensure taxonomies support advanced analytics, reporting consistency, and semantic interoperability across systems
Enable standardized metrics, KPIs, and dashboards through structured and governed business definitions
Develop training, communication, and adoption strategies to promote understanding and correct usage of taxonomies
Build relationships with business leaders, SMEs, and functional teams to drive alignment and cultural adoption of data governance practices
Qualification
Required
Bachelor's or Master's degree in Life Sciences, Information Management, Data Governance, Regulatory Affairs, Computer Science, or related field
Proven experience in data governance, taxonomy design, metadata management, or master data management within a regulated industry (MedTech, Pharma, or Life Sciences)
Strong understanding of regulatory frameworks (EU MDR, GUDID/UDI, GDPR, HIPAA)
Hands-on experience with metadata management or data cataloguing tools (e.g., Collibra, Informatica, Alation)
Demonstrated success in leading cross-functional stakeholders in matrixed organizations
Strong analytical, conceptual modelling, and problem‑solving skills
Excellent communication skills with the ability to translate complex concepts for non‑technical audiences
Preferred
Experience in RA or R&D environments
Prior involvement in large-scale digital transformation or enterprise data initiatives
Familiarity with data architecture, data warehousing, and BI/analytics tools (Power BI, Tableau, etc.)
Experience developing taxonomies for regulatory submissions, clinical data, product lifecycle data, or quality systems
Company
Kelly Science, Engineering, Technology & Telecom
Kelly Science, Engineering, Technology & Telecom specializes in science, engineering, technology, and telecom.