# Catalogue / Merchandising Consultant

**Company:** [Salla](http://jobs.workable.com/companies/nT3kBaLUjKH8KvFcNsKEtc.md)
**Location:** Makkah, Saudi Arabia
**Workplace:** on site
**Employment type:** Full-time
**Department:** Product

[Apply for this job](http://jobs.workable.com/view/f263cff5-1b1d-493f-8c33-db26fa269f5c)

## Description

We’re hiring a Catalogue Consultant to shape the way Salla merchants manage their product data, taxonomy, and digital content — creating catalogue systems that are both structured and merchant-friendly.

### What You will  Do

-   **Redefine how product data lives in Salla.** Evaluate how merchants today create, categorize, and enrich product data — then design smarter, scalable structures for thousands of SKUs across categories.
-   **Build the taxonomy backbone.** Define and maintain taxonomy, metadata, and data governance frameworks that support multi-language catalogues (Arabic/English) and multiple markets (GCC, International).
-   **Collaborate across product, engineering, and UX.** Work with squads responsible for Imports, Checkout, and Discovery to improve product import flows, attribute management, and localization logic.
-   **Design attribute and classification templates.** Create adaptive attribute templates and product schemas per merchant type (e.g., fashion, beauty, electronics), ensuring every category captures only what’s relevant.
-   **Drive catalogue data quality.** Set standards for product data completeness, consistency, and SEO alignment — ensuring high discoverability across store search, marketplaces, and external channels.
-   **Lead PIM/MDM implementations.** Guide system testing, integration, and data validation for catalogue syncs, bulk imports, and migration workflows from other platforms.
-   **Improve product discovery.** Define which product attributes appear as filters and how they impact conversion, relevance, and recommendation quality.
-   **Collaborate on merchant tooling.** Support the design of new catalogue management tools, AI enrichment features, and merchant onboarding experiences for product setup.

## Requirements

-   **5–8 years of experience** in catalogue or product data management within e-commerce, marketplaces, or ERP environments.
-   **Experience in Product Information Management (PIM) or Master Data Management (MDM):** You’ve implemented or managed systems such as Akeneo, Riversand, Pimcore, Salsify, or Informatica.
-   **Strong understanding of eCommerce catalog structures:** You know how SKU data, product variants, and attribute hierarchies work across complex product types (fashion, beauty, electronics, FMCG, etc.).
-   **Hands-on experience with product data and taxonomy:** You’ve built or optimized attribute models, filters, and product classification systems at scale.
-   **Knowledge of SEO and content enrichment best practices:** You understand how structured product data improves visibility, search performance, and customer discovery.
-   **Analytical mindset:** You can analyze merchant catalogs, identify inconsistencies, and propose scalable data models that improve automation and reporting.
-   **Technical literacy:** Familiar with data exchange formats (CSV, JSON, XML), APIs, and integrations between catalog, ERP, and marketplace systems.
-   **Bilingual advantage:** Fluency in Arabic and English is a plus, especially for taxonomy and localization validation across regions.
-   **Preferred background:** Experience with online marketplaces, large retail eCommerce operations, or SaaS product catalog systems.
-   **Proven experience managing large-scale product data:** Comfortable working with **tens or hundreds of thousands of SKUs**, ensuring **data normalization**, **bulk imports**, and **catalog consistency** across multi-channel retail environments.
-   **Omnichannel and retail experience:** You’ve collaborated with or worked inside **retailers that operate both online and offline**, understanding how to align digital catalog data with **POS systems**, **ERP integrations**, and **in-store inventory synchronization**.
