At a Glance
- Tasks: Organise complex product data to enhance digital experiences across global markets.
- Company: Join Currys, a leading tech retailer with a focus on innovation.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with strong career advancement potential.
- Why this job: Make a real impact by shaping how products are discovered and managed online.
- Qualifications: 5+ years in taxonomy development and experience with PIM systems required.
The predicted salary is between 36000 - 60000 £ per year.
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.
Role Overview
- 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.
Experience & Skills Needed
- 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.
Preferred Tools & Technologies
- 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
PIM Data Taxonomist employer: The Digital Asset Management Consortium, Inc.
At Currys, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a PIM Data Taxonomist in London, you will benefit from a dynamic environment that encourages professional growth through cross-functional partnerships and continuous learning opportunities. Our commitment to data governance and structured product management not only enhances your skills but also contributes to creating seamless digital experiences for our diverse global markets.
Contact Details:
The Digital Asset Management Consortium, Inc. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land PIM Data Taxonomist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your work with taxonomies and data models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of PIM systems and data governance frameworks. Be ready to discuss your past experiences and how they relate to the role of a PIM Data Taxonomist.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Currys.
We think you need these skills to ace PIM Data Taxonomist
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for organising product data shine through! We want to see how your passion aligns with our mission of creating seamless digital experiences.
Tailor Your Experience:Make sure to highlight your relevant experience in taxonomy development and PIM systems. We love seeing how your background fits into the role of a PIM Data Taxonomist, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to complex topics like data models and hierarchies. Make it easy for us to see your skills!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our system quickly. We can’t wait to hear from you!
How to prepare for a job interview at The Digital Asset Management Consortium, Inc.
✨Know Your Taxonomy Inside Out
Before the interview, make sure you thoroughly understand taxonomy principles and how they apply to product data management. Brush up on your experience with PIM systems and be ready to discuss specific examples of how you've implemented and governed taxonomies in previous roles.
✨Showcase Your Collaboration Skills
This role requires working closely with various teams, so be prepared to share examples of successful cross-functional collaborations. Highlight how you've partnered with content, product, and tech teams to enhance data structures and improve user experiences.
✨Demonstrate Your Analytical Mindset
As a PIM Data Taxonomist, analytical skills are crucial. Be ready to discuss how you've used data analysis to improve findability and data accuracy. Prepare to explain your approach to data cleanup and structuring initiatives that have led to better platform performance.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in managing structured product data and how you overcame them. This will show your potential employer that you're not just knowledgeable but also practical in applying your skills.
