End to End Product Data Analyst
PVH Corp
- Location
- Office India
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 1 approvals (FY2023)
- Posted
- Sep 7, 2026
Skills
About this role
About Us
We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+. One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here .
Position
Overview The End-to-End Product Data Analyst is responsible for supporting the quality, integrity, and operational readiness of product and article master data across PVH's global technology landscape. As part of the Global SAP-ERP Team, this IT role partners with Product Creation, Merchandising, Planning, Sourcing, Supply Chain, and Technology teams to ensure product and article data is complete, accurate, and ready to support end-to-end business processes. This role serves as PVH's technical and functional expert for product and article data, including article structures, style-color-size relationships, GTIN management, product hierarchies, and enterprise data flows across SAP, PLM, MDM, PIM, and downstream applications. The role supports global transformation initiatives, validates product data readiness, analyzes complex data issues, and drives continuous improvement to reduce downstream business process failures. This position is based in Bangalore, India, and partners with global business and IT teams across North America, Europe, and Asia.
Key Responsibilities
Product & Article Data Management Serve as the IT subject matter expert for enterprise product and article master data. Analyze and support product data including styles, colors, sizes, SKUs/articles, product hierarchies, attributes, and business associations. Ensure product and article data is complete, accurate, and validated before supporting downstream business processes. Maintain a deep understanding of PVH's product and article structures, numbering conventions, business rules, and end-to-end data flows. Product Data Quality & Readiness Perform detailed analysis of product and article data across SAP, PLM, MDM, PIM, and related enterprise applications. Identify missing or incorrect product data before it impacts planning, sourcing, procurement, distribution, retail, wholesale. Validate article creation, GTIN assignments, size relationships, and product hierarchy structures. Support the identification, validation, and publication of golden product data. Global Deployments & Solution Delivery Support product and article data activities for global ERP projects Validate product data mappings, conversions, interfaces, and deployment readiness. Support mock conversions, cutover activities, and post-deployment validation. Develop and execute end-to-end product data testing scenarios covering multiple business processes and data variations. Business & Technology Partnership Partner with Product Creation, Merchandising, Planning, Sourcing, Supply Chain, PLM, MDM, PIM, SAP, and Integration teams to resolve product data issues. Provide guidance on SAP product and article data requirements, business rules, and downstream system impacts. Support global projects by ensuring product data changes are evaluated for their impact across the end-to-end technology landscape. Partner with the Enterprise Data Governance team to support enterprise data standards and quality initiatives. Continuous Improvement Analyze recurring product and article data issues and drive root cause resolution. Develop documentation, validation procedures, and best practices for enterprise