Senior Analyst - Product Data Governance and Taxonomy

Who Are You :

• Lead the development of product category taxonomies to effectively organize and categorize our expansive and diverse catalog of reagents, chemicals, and instrumentation
• Establish and maintain effective taxonomy structures that enhance product categorization and facilitate data retrieval
• Develop and maintain standard operating procedures (SOPs) for implementing taxonomy changes
• Collaborate with our Product Teams on establishing requirements and enhancements to Taxonomy Management Service / Application Conduct competitive research on product taxonomy structures, both internally and externally
• Analyze website metrics and product discovery behaviors to drive data-informed decisions
• Collaborate with stakeholders to promote the availability of high-quality, trusted data as a strategic asset in support of operational effectiveness and decision-making
• Monitor and evaluate product data quality on an ongoing basis, identifying areas for improvement and driving corrective actions
• Mentor internal users on data governance principles, taxonomy management, and compliance requirements
• Educate technical and non-technical audiences on information architecture concepts

Basic / Minimum Qualifications :

• 2+ years of experience in Scientific Taxonomy / Ontology and its applications to eCommerce Taxonomy management, Search Engine management, or Information Architecture Bachelor s degree in Chemistry, Biology, Materials Science, Data Science, or a related field
• Experience working with PIM systems Familiarity with digital marketing, web content development, and the implications of product data structure on marketing strategies
• Experience creating and communicating technical requirements to engineering teams
• Strong understanding of data management best practices, including taxonomy management, metadata management, data quality management, and compliance frameworks
• Understand the flow of e-Commerce product catalog information from search to checkout

Preferred Qualifications :

• masters Degree in Chemistry, Biology, Materials Science, Data Science, or a related field
• Experience with scientific products and laboratory workflows Familiarity with database management concepts, and experience with advanced data manipulation techniques
• Demonstrable ability to devise, communicate, and implement information architecture strategy
• Deep familiarity with taxonomies, ontologies, and classification systems and their management
• Familiarity with machine learning and natural language concepts and applications
• Adept at diving deep into search including algorithms and technical details
• Intellectually curious, technically savvy, detail oriented, entrepreneurial

Skills Required

metadata, Data Management, Machine Learning, Data Governance