Taxonomist - PIM Implementation - Retail Ecommerce

Morris Sinclair Recruitment; Remote; GBP 75,000 - 95,000; Full time

Job summary

A leading recruitment company is seeking an experienced Taxonomist for a remote role focused on ecommerce and product information management. The ideal candidate has 3-5+ years in taxonomy and is well-versed in using PIM solutions like Akeneo. You will manage product taxonomies, data quality, and ensure effective collaboration across teams. This position offers a fully remote working environment and a key role in shaping product data strategies.

Benefits

Fully remote and flexible working environment

Collaborative team culture

Qualifications

• 3-5+ years' experience in taxonomy or product data management.
• Strong background in Ecommerce and the retail product landscape.
• Hands-on experience with PIM solutions such as Akeneo.

Responsibilities

• Develop and maintain product taxonomies for ecommerce.
• Work within Akeneo to optimize taxonomy and data governance.
• Establish data governance processes to ensure data quality.

Skills

Taxonomy management

Data analysis

Ecommerce understanding

Communication skills

Tools

Akeneo

PIM solutions

Job description

Taxonomist (Ecommerce & Retail) - Remote

12 Month FTC - Leading to Permanent Position

£75,000 - £95,000

Fully remote

Overview

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.

Key Responsibilities

• 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.

PIM Implementation & Data Structuring (Akeneo)

• 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.

Cross-Functional Collaboration

• 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.

Data Quality & Governance

• 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.

Required Skills & Experience

• 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.

Preferred Qualifications

• 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.

What We Offer

• 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.