Responsibilities
- Own day-to-day product operations activities, including change management requests, product maintenance, product tagging, banner tagging, PIM matching, and configuration updates across customer accounts.
- Ensure high levels of data quality and operational excellence by validating product classifications, taxonomy mappings, catalogue configurations, and onboarding-related deliverables.
- Investigate operational issues, identify root causes, and work cross-functionally with Product, Engineering, Data Science, and Customer Success teams to drive timely resolution and long-term fixes.
- Analyse operational workflows, identify bottlenecks and inefficiencies, and recommend process improvements that improve accuracy, scalability, and turnaround times.
- Drive automation and AI-assisted workflow initiatives by helping translate manual processes into scalable systems, business rules, and operational playbooks.
- Support strategic and operational initiatives across the organisation, taking ownership of new programmes, process rollouts, and continuous improvement efforts as business needs evolve.
Requirements
- 3-5 years of experience in Operations, Product Operations, Data Operations, Business Operations, Catalogue Operations, or Analytics.
- Strong analytical and problem-solving abilities.
- Strong with Operations.
- Hands-on SQL experience.
- Advanced Excel / Google Sheets skills.
- Experience working with large datasets and operational workflows.
- Strong attention to detail and data quality.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience in e-commerce, retail technology, marketplaces, catalogue operations, or product data management.
- Experience with taxonomy management, product classification, or metadata operations.
- Familiarity with Jira, Confluence, BigQuery, Databricks, or similar platforms.
- Exposure to automation tools, Python, scripting, or workflow automation platforms.
- Familiarity with AI-assisted workflows and generative AI tools.
This job was posted by Akash R from CommerceIQ.
