Taxonomy Architect for AI-Driven eCommerce Discovery

Keka Technologies Private Limited

Lusail

On-site

QAR 120,000 - 160,000

Full time

12 days ago
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Benefits offered by this job

Global Vibes
Brain Boosters
Flexible Time Off
Agile Everything

Job summary

Snoonu is seeking a detail-driven Taxonomist to architect and steward the platform’s classification framework. You’ll shape multi-level category trees, attribute schemas, and governance rules to power AI-powered search, recommendations, and shopping experiences.

You’ll partner with ML, search, merchandising, and content teams to ensure data quality, consistency, and semantic richness across 200K+ SKUs, enabling scalable discovery and conversion.

Qualifications

  • Experience designing hierarchical classification systems for large product catalogs.
  • Strong data governance capabilities and metadata modeling skills.
  • Proficiency with PIM/CMS systems and SQL-based data queries.
  • Excellent written and verbal English; Arabic is a plus.

Responsibilities

  • Design, build, and maintain a multi-level product taxonomy aligned with business needs.
  • Define attribute schemas (facets, filters, metadata) for catalog items.
  • Enforce taxonomy governance, naming conventions, and classification rules.
  • Audit taxonomy quality, fix miscategorizations, and prevent drift.
  • Collaborate with ML, search, merchandising, and UX teams on taxonomy use.
  • Produce governance docs, onboarding materials, and KPI reports.

Skills

Taxonomy design
Information architecture
Data governance
Catalog management
PIM
CMS
Excel
SQL
Python scripting
Multilingual communication

Tools

PIM
CMS
SQL tooling

Job description

Snoonu is seeking a detail-driven Taxonomist to architect and steward the platform’s classification framework. You’ll shape multi-level category trees, attribute schemas, and governance rules to power AI-powered search, recommendations, and shopping experiences.

You’ll partner with ML, search, merchandising, and content teams to ensure data quality, consistency, and semantic richness across 200K+ SKUs, enabling scalable discovery and conversion.

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