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Global SEO Information Architect / Taxonomist (US Based) at HP Inc. in Boise, Idaho, United States Job Description Role Description: The Global SEO Information Architect / Taxonomist will be responsible for organizing and managing Ecommerce website and SEO content to ensure it is accessible and easy to use. Specifically, the individual in this role will be designing and implementing category taxonomies, entity ontologies, and content tagging hierarchies to enhance the accessibility, navigability, and usability of Store digital content. This role involves working closely with cross-functional central and regional teams to ensure that website content is well-organized, tagged appropriately, and aligned with our Digital GTM organization's strategic goals. The ideal candidate will have a strong background in knowledge base management, category classification and development, designing data models, tagging multimodal content types for SEO, and educating key stakeholders about taxonomy processes. Core Responsibilities: + Provide in-depth Ecommerce domain analysis to identify taxonomy gaps and needs. + Gather and analyze data / feedback reports to identify technology requirements, content template gaps, and define an implementation framework. + Educate stakeholders on knowledge processes, data workflows, and implementation framework to support a holistic information architecture. + Define knowledge processes and identify technology requirements for creating, capturing, organizing, accessing, and using knowledge assets from APIs / databases. + Develop, adjust, and maintain website taxonomy and content templates to ensure consistency and alignment with use cases and knowledge processes. + Ensure that digital content is appropriately tagged and has correct metadata for SEO, dynamic content delivery models, onsite search, and data analytics. Required Education and Experience: + Bachelor's degree in a related field, or equivalent practical experience. + 4+ years of experience in knowledge and content management or equivalent areas. + 2+ years of experience in developing taxonomies / ontologies to support a variety of data systems for front-end and back-end use. + Experience with evaluating and implementing complex taxonomies / ontologies to support content management systems and refining information architecture at scale. + Experience with designing taxonomies to support external and internal search, product discovery, and data analytics applications of large scale. + Experience training machine learning classification systems and conversational To view full details and how to apply, please login or create a Job Seeker account