PIM Implementation Specialist

• Lead the end-to-end configuration of PIM features, including attributes, complex taxonomies, multi-channel hierarchies, and role-based access controls.
• Develop and manage robust Data Models to support diverse retail requirements (e.g., eCommerce, brick-and-mortar, and mobile).
• Engineer and optimize automated workflows for product data enrichment, multi-stage approvals, and cross-platform publishing.
• Partner with technical leads to build and validate preview capabilities within pre-production staging environments.

1. Integration & Advanced Technology Support:

• Architect and maintain API connections , data pipelines, and scripts (Python/JavaScript) to ensure high-fidelity data flow.
• Lead technical integrations for specialized third-party vendors, including translation services ( Writer AI ) and downstream attribution software.
• Pioneer the implementation of PIM AI capabilities , focusing on automated product attribution via PDF tech-pack extraction and image recognition technologies.
• Oversee large-scale data migrations in collaboration with vendors and internal stakeholders to ensure 100% data accuracy and completeness.

1. Optimization & Governance:

• Monitor platform performance and proactively refine configurations to enhance system automation and usability.
• Author and maintain comprehensive technical documentation, including integration maps, workflow diagrams, and configuration guides.
• Stay abreast of vendor-specific updates and PIM best practices to maximize platform ROI.
• Provide ongoing technical mentorship and support to internal IT teams and platform super-users., * Successful deployment of a scalable system configuration aligned with core business requirements.
• Seamless establishment of data pipelines between the PIM and all downstream eCommerce systems.
• Implementation of automated workflows resulting in measurable improvements to data enrichment speed.
• High data integrity and minimal reconciliation issues post-migration.

Protocol Independent Multicast (PIM), Merchandising, Retail Channel, Protocol Independent Multicast (PIM), Data Modeling, Product Management, eCommerce (B2X) Marketing, Taxonomies, Access Control, eCommerce, * Experience: 5+ years of technical experience implementing enterprise PIM platforms (e.g., Salsify, Akeneo, Inriver, or Informatica ).

• Data Mastery: Deep expertise in data modeling, attribute management, and product governance frameworks.
• Technical Stack: Proficiency in APIs (REST/SOAP) , scripting languages, and data formats ( JSON, XML, CSV ).
• ETL & Middleware: Hands-on experience with integration tools such as MuleSoft, Boomi, or Data Fusion .
• Systems Interoperability: Strong understanding of how PIM interacts with ERP, PLM, DAM, and CMS platforms., * Vertical experience in Retail, eCommerce, or Consumer Goods .
• Familiarity with Agile/DevOps methodologies for managing system releases and enhancements.
• Experience in automated data enrichment and AI-driven product categorization.