PIM Data Taxonomist

Are you passionate about organizing complex product data to create seamless digital experiences across global markets and diverse brands? As a PIM Data Taxonomist, you will own and evolve the taxonomy, data model, and hierarchy structures that power content discovery, digital merchandising, and product management across a multi-brand, multi-market ecosystem.

You will be a key player in building and governing structured product data frameworks that are both globally consistent and locally adaptable—supporting scalability, localization, and user‑centric digital experiences. This role collaborates across content, product, data, and technology teams to ensure digital platforms are powered by clean, structured, and optimized product data.

• Own, manage and design enterprise data model, product taxonomy, hierarchy, and attribute structures within the PIM system to support product discovery, categorization, search, and syndication across multiple brands and global markets.
• Develop and maintain scalable, flexible data models that align with evolving digital, merchandising, and business needs.
• Establish and enforce data governance standards and taxonomy guidelines to ensure data consistency, quality, and usability across regions and platforms.
• Collaborate with product, content, UX, and regional teams to ensure that taxonomy supports both centralized global strategies and localized content requirements.
• Support product onboarding and SKU expansion efforts by defining clear classification frameworks and processes for data enrichment.
• Lead or participate in data cleanup, normalization, and structuring initiatives to improve product information quality and platform performance.
• Act as a subject matter expert in taxonomy and structured data, providing documentation, training, and support for internal teams and stakeholders.
• Work with DAM, CMS, and syndication tools to ensure product information is properly connected across all relevant digital channels.

• Successfully implemented and governed taxonomy and hierarchy models across multiple digital platforms and product categories.
• Delivered scalable solutions for managing structured product data in complex, high‑SKU, multi‑region environments.
• Improved findability, data accuracy, and syndication success rates through refined data structures and governance.
• Enabled faster product onboarding and streamlined processes through clearly defined taxonomy and data models.
• Built strong cross‑functional partnerships with brand, regional, and technical teams to ensure taxonomy serves business and user needs effectively.
• Bachelor’s or master’s degree in library & information science, Linguistics, Information Architecture, Data Science, or a related field.
• 5+ years of experience in taxonomy development, metadata management, or structured content management in a multi‑brand or multi‑market environment.
• 5+ years of hands‑on experience with PIM systems (e.g., Akeneo, Bluestone, Informatica, Salsify, Stibo, or similar).
• Proven experience in developing and governing product taxonomies, data hierarchies, and attribute models.
• Strong understanding of data governance frameworks, structured content best practices, and digital product information workflows.
• Experience with content localization, translation workflows, and regional data customization strategies is a plus.
• Analytical and detail‑oriented, with strong documentation, communication, and cross‑functional collaboration skills.
• Comfortable working in fast‑paced, high‑volume digital environments with competing priorities.

• Product Information Management (PIM) platforms
• Content Management Systems (CMS)
• Digital Asset Management (DAM) platforms
• Excel, Airtable, or data modelling tools
• Jira, Confluence, or other documentation/project tracking platforms

Employer: Currys

Location: London, UK

Posted Date: 19/02/2026

Expiry Date: 19/06/2026

Type: Full-Time

Categories: DAM Manager / User, Metadata Management / Taxonomy / Ontology, CMS / Creative / Content Operations, PIM / Product Manager / Digital Shelf

: DN-JB-2738

Added by: DAM News Administrator