Jobs in Newcastle, United Kingdom
Taxonomist - PIM Implementation - Retail Ecommerce
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Taxonomist - PIM Implementation - Retail Ecommerce
Job summary
A recruitment agency is seeking an experienced Taxonomist for a fully remote position. You will manage and optimize ecommerce product taxonomies while extensively working with PIM solutions like Akeneo. The ideal candidate should have a solid background in ecommerce and at least 3-5 years of experience in taxonomy and product data management. The role includes responsibilities for maintaining data quality and governance, collaborating across teams, and ensuring that product data supports business growth and customer experiences.
Benefits
Qualifications
- 3-5+ years' experience in taxonomy or product data management.
- Strong understanding of PIM solutions, especially Akeneo.
- Experience with scalable product hierarchies and complex data structures.
Responsibilities
- Develop and maintain product taxonomies for ecommerce.
- Work extensively within Akeneo for data structuring.
- Collaborate with cross-functional teams to support operational needs.
Skills
Tools
Taxonomist (Ecommerce & Retail) - Remote
12 Month FTC - Leading to Permanent Position
£75,000 - £95,000
Fully remote
We are seeking an experienced Taxonomist with a strong background in Ecommerce, Product Information Management (PIM), and the retail sector. You will play a key role in structuring and optimising product data across our digital ecosystem, with our current PIM platform Akeneo at the centre of daily operations.
This is a fully remote position.
- Develop, maintain, and evolve comprehensive product taxonomies, hierarchies, attribute models, and metadata frameworks for ecommerce environments.
- Ensure taxonomy structures support scalability, localisation, and category growth.
- Collaborate with product, merchandising, and UX teams to align taxonomy with business goals and customer journeys.
- Work extensively within Akeneo, which is the PIM currently in use, to optimise taxonomy, attributes, product schemas and data governance rules.
- Maintain and refine product attribute sets, validation rules, and classification logic inside Akeneo.
- Support ongoing enhancements, system improvements, data flows, and integrations related to Akeneo.
- Diagnose and resolve taxonomy- and data-quality issues originating from the PIM.
- Partner with merchandising, digital experience, SEO, engineering, and catalogue/content teams to ensure taxonomy effectively supports both operational needs and customer-facing experiences.
- Advise teams on best practices for categorisation, naming standards, and attribute usage.
- Lead taxonomy- and PIM-related training sessions for cross-functional stakeholders.
- Establish and manage data governance processes to ensure consistency, accuracy, and compliance across product data.
- Conduct regular audits to identify misclassifications, gaps, or attribute inconsistencies.
- Work with analytics teams to track how taxonomy impacts product discovery, search relevancy, and customer conversion.
- 3-5+ years' experience in taxonomy, product data management, information architecture, catalogue management, or a similar domain.
- Strong background in Ecommerce and the retail product landscape.
- Hands-on experience with PIM solutions (e.g., Akeneo, inRiver, Salsify, Pimberly, Stibo STEP, etc.).
- Experience designing and managing scalable product hierarchies and complex data structures.
- Strong understanding of how taxonomy influences navigation, search, SEO, and conversion.
- Excellent communication and documentation skills, able to convey complex structures clearly.
- Highly analytical, detail-oriented, and passionate about data organisation and optimisation.
- Experience with other PIM platforms (e.g., inRiver, Salsify, Stibo STEP, Pimberly) in addition to Akeneo.
- Familiarity with ecommerce search / merchandising technologies (Algolia, Bloomreach, Elasticsearch, etc.).
- Understanding of GS1 / GTIN standards and retail industry classification models.
- Background in UX, information architecture, or content strategy.
- Experience working with omnichannel retail data environments.
- Knowledge of data modelling, automation tools, or scripting to support taxonomy scaling.
- Fully remote and flexible working environment.
- A key role in shaping product data and taxonomy foundations across digital channels.
- Collaborative, people-first team culture with strong cross-functional exposure.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.