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STIBO PIM Consultant - Onshore Internal Job Description: PIM Consultant (STIBO STEP) Role Purpose As a PIM Consultant, you will play a critical role in strengthening ANF's product data capabilities by designing and enabling a robust data model within STIBO STEP and building scalable business rules and workflows that ensure high-quality, consistent, and timely product data delivery to our website and digital channels. This role is key to improving customer experience, site performance, and product discoverability through better data management practices. Key Responsibilities 1. Data Model Ownership Design, enhance, and maintain product data models (attributes, hierarchies, classifications, relationships) aligned to ANF business needs. Ensure the model supports eCommerce, merchandising, and downstream systems efficiently. Drive standardization and governance across product data entities. 2. Business Rules & Automation Develop and manage business rules, conditions, and workflows to support: Product enrichment and validation Lifecycle management Automated data propagation across contexts Implement on-approval rules, event-driven logic, and bulk update mechanisms to reduce manual effort and improve data accuracy. Continuously optimize rules for performance and scalability. 3. Website Data Enablement Enable structured and optimized product data delivery to the ANF website and digital platforms. Partner with eCommerce teams to: Improve data readiness and completeness for online catalogs Ensure correct attribute mapping and formatting Support faster page load and better customer experience Build rule-based solutions to ensure only relevant, clean, and publish-ready data reaches the website. 4. STIBO STEP Configuration & Development Configure and enhance STEP capabilities including: Business rules, workflows, and Web UI STEP XML for inbound/outbound integration Event processors and queues Develop or extend functionality using: JavaScript, STEP Extension API, and modular rule frameworks Contribute to reusable components and internal accelerators. 5. Integration & Data Flow Enable reliable data exchange between STEP and downstream systems (eCommerce, DAM, ERP, etc.) Configure integration endpoints and data syndication flows tailored to consumer system needs. Work with integration teams to ensure efficient data contracts and payload structures. 6. Performance & Optimization Identify and address data model, rule, or integration inefficiencies Improve: Data processing time Data publishing speed Overall system performance Apply best practices for scalable PIM design and implementation 7. Collaboration & Ownership Work closely with Product, Merchandising, eCommerce, and Engineering teams to translate business needs into PIM solutions. Act as a functional and technical SME within the team Support continuous improvement of PIM practices, documentation, and standards. Expected Outcomes (Success Measures) Improved product data quality and consistency Faster and more reliable data delivery to the ANF website Reduced manual interventions through automation and workflows Scalable and maintainable data model and rule architecture Enhanced website performance and product discoverability Skills & Experience Required Core Skills Hands-on experience with STIBO STEP PIM Strong understanding of: Data modeling and taxonomy design Business rules, workflows, and event-based processing Experience in integration concepts (REST, messaging, file-based) Familiarity with JavaScript/Java-based extensions (preferred) Functional Understanding Knowledge of retail/eCommerce product data lifecycle Understanding of: Product catalogs Attribute management Digital content readiness Behavioral Competencies Strong problem-solving and analytical mindset Ability to work across teams and drive alignment Ownership-driven, with focus on continuous improvement Nice to Have Prior experience working on ANF or similar retail implementations Exposure to AEM, DAM, or website integrations Experience in STEP SaaS environments and performance tuning STIBO certification or equivalent experience