PIM Implementation Specialist

Key Responsibilities

• Lead the end-to-end configuration of PIM features, attributes, workflows, hierarchies, and roles.
• Develop and manage data models to support multi-channel retail needs (e.g., eCommerce, in-store).
• Build and optimize automated workflows for product data enrichment, approvals, and publishing.
• Partner with browse technical leads to develop and build preview capabilities for PIM system in pre-built staging environment
• Partner with the vendor and internal stakeholders to execute migration of existing product data with accuracy and completeness.
• Develop and maintain API connections, scripts, and data pipelines to support seamless information flow into and out of the PIM
• Troubleshoot and resolve technical issues during and after implementation, acting as the primary technical contact for PIM
• Integration support and build for selected translation vendor, Writer AI, as well as data enrichment software supporting attribution downstream
• Investigate and solution PIM AI capabilities supporting product attribution including extraction from PDF tech pack and/or image recognition
• Monitor platform performance and proactively identify opportunities to enhance configuration, automation, and usability.
• Stay up to date on PIM vendor updates and best practices to maximize the platform’s potential.
• Document technical configurations, workflows, and integration points for future reference and training.
• Collaborate with business and product managers to translate business needs into scalable technical solutions.
• Support user training by creating technical documentation, configuration guides, and process diagrams.
• Provide ongoing technical support and mentorship to super-users and internal IT teams.

Qualifications

• 5+ years of technical experience implementing or managing enterprise PIM platforms (e.g., Salsify, Inriver, Akeneo, Riversand, Informatica).
• Hands-on expertise in configuring PIM features, workflows, and integrations.
• Strong understanding of data models, attributes, taxonomies, and governance.
• Proficiency in APIs, scripting languages (e.g., Python, JavaScript), and data formats (JSON, XML, CSV).
• Experience with ETL processes and integration tools (e.g., MuleSoft, Boomi, Informatica, Data Fusion, Cloud).
• Strong problem-solving and troubleshooting skills with an eye for process optimization.