What is your mission?

• Lead end-to-end configuration of PIM platform features, attributes, workflows, hierarchies, and user roles
• Develop and manage data models, taxonomies, and product attributes to support multi-channel retail operations
• Build and optimize automated workflows for product data enrichment, approvals, and publishing
• Partner with technical teams to support preview environments and staging configurations
• Execute product data migration, ensuring accuracy, completeness, and data governance
• Develop and maintain API integrations, scripts, and data pipelines for seamless data exchange between enterprise systems
• Troubleshoot and resolve technical issues, acting as the primary technical contact for PIM platform support
• Support integration with translation vendors, artificial intelligence tools, and data enrichment systems
• Monitor and optimize platform performance, automation, and usability improvements
• Maintain technical documentation, workflows, system configurations, and integration mappings
• Collaborate with business stakeholders to translate requirements into scalable technical solutions
• Support training, knowledge transfer, and ongoing technical enablement for users and internal teams

Who are we looking for?

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or related field
• Minimum of 5+ years of experience implementing or managing enterprise Product Information Management platforms
• Hands-on experience with PIM platforms such as Akeneo, Salsify, Inriver, Riversand, or Informatica
• Strong knowledge of data modeling, taxonomies, attributes, and product data governance
• Proficiency in API development, scripting languages (Python, JavaScript), and data formats such as JSON, XML, and CSV
• Experience with ETL processes and integration tools such as MuleSoft, Boomi, Informatica, or cloud-based data platforms
• Experience in product data migration, workflow automation, and multi-channel publishing environments
• Familiarity with enterprise systems such as ERP, PLM, DAM, Content Management Systems, and eCommerce platforms
• Exposure to artificial intelligence tools, automation, and data enrichment technologies
• Experience working in Agile or DevOps environments for system implementation and release management
• Strong analytical thinking, problem-solving, troubleshooting, and process optimization skills
• Excellent communication, collaboration, and stakeholder management skills