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 HP.com 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 AI platforms using designed taxonomies / ontologies.
Experience with a variety of topic or domain types and complexity of taxonomies.
Experience communicating and presenting taxonomy principles and modern standards.
Fluency in business English is necessary; fluency in other languages is a plus.
Other Qualifications:
Can-do, positive attitude and willingness to work in fast-paced team environment
Highly detail-oriented with proven project management and organizational skills
Ability to link roadmap projects and website enhancements to business results
Creativity and curiosity around project planning and process improvement
Strong analytical, problem identification and solving skills
Strong written and verbal communication skills
The base pay range for this role is $100,000 to $149,000 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, including:
Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including;
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave (US benefits overview (https://www8.hp.com/h20195/v2/getdocument.aspx?docname=c07065756) )
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
