Responsibilities
- Work independently to prioritize, structure, and resolve master data tasks across assigned categories.
- Design, implement, and optimize product categories, templates, coded value frameworks.
- Perform in-depth research to develop new taxonomy models, industries, and category templates on need basis.
- Drive master data enhancements including product descriptions, and localization rules.
- Design and implement cross-sell and up-sell logic to improve product relationships and customer experience on need basis.
- Design & implement optimization and simplification initiatives for existing categories/templates through correlation & validation rules.
- Ensure standardization and quality of coded value repositories across categories.
- Work closely and collaborate with content, taxonomy design, and mapping teams to ensure consistent and high-quality output.
- Provide expert-level support and guidance to team members, acting as a knowledge resource.
- Contribute to continuous improvement of processes, tools, and data quality frameworks.
- Participate in documentation, knowledge sharing, and best practice development.
Requirements
- Strong ability to independently manage complex tasks and prioritize work effectively
- Expert-level understanding of taxonomy management, master data operations, and data governance
- Advanced MS Excel skills and strong analytical capabilities
- Deep knowledge of category structures, taxonomy standards, and product data models.
- Understanding of major marketplace taxonomies and international classification standards.
- Strong problem-solving and critical thinking skills with a solution-oriented mindset.
- Ability to explain processes and train or mentor team members.
- Excellent written and verbal communication skills.
- High attention to detail with a strong focus on data quality and consistency.
- Client-centric approach with the ability to translate requirements into scalable solutions.
- Good practical knowledge of Groovy programming to design and implement correlation & validation rules.
- Good practical knowledge of AI/Automation tools.
Nice to Have
- Proven experience in product data enhancement initiatives preferably through AI/Automation tools & techniques will be a plus.
