Taxonomist - PIM Implementation - Retail Ecommerce

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

Job summary

A leading recruitment firm is looking for an experienced Taxonomist to join a fully remote team. In this role, you will manage and optimize product taxonomies and data structures within Akeneo, supporting ecommerce initiatives. Candidates should have 3-5 years of relevant experience, strong analytical skills, and expertise in product information management. You'll collaborate with diverse teams to enhance product data quality and drive successful ecommerce strategies. Join us to help shape the future of digital product management.

Benefits

Fully remote working environment

Flexible working hours

Collaborative team culture

Qualifications

• 3-5+ years' experience in taxonomy or product data management.
• Hands-on experience with PIM solutions like Akeneo.
• Excellent analytical skills and attention to detail.

Responsibilities

• Develop and evolve product taxonomies for ecommerce.
• Work within Akeneo to optimize product data structures.
• Establish data governance processes for product consistency.

Skills

Taxonomy management

Ecommerce expertise

Data governance

Communication skills

Analytical thinking

Tools

Akeneo

Salsify

Elasticsearch

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.