<< Back to Jobs


Taxonomist and Knowledge Architecture Specialist

Visit Job Website
Meta / Facebook Expired
Austin, TX, USA

The Global People Operations team strives to create and deliver a seamless and positive experience across the employee lifecycle. Within People Ops is the HR Technology team, which focuses primarily on the digital experience ecosystem. HR Tech is a multidisciplinary team of experts spanning knowledge & content strategy, technical web production, enterprise content management, system & solution design, and data & analytics. This team partners most closely with Engineering, product managers, UX researchers, and strategic teams that represent various operational processes and programs.

We’re looking for an expert in the domains of HR taxonomy and knowledge architecture strategy, creation, implementation and management. This role focuses on the design of surfaces, systems and processes that support knowledge exchange & delivery in a highly cross-functional, fast-paced and complex working environment. The person in this role will be expected to be an experienced taxonomist able to quickly create and then scale ontologies as they relate to various HR domains.

Taxonomist and Knowledge Architecture Specialist Responsibilities

  • Define knowledge processes and identify the technology requirements for creating, capturing, organizing, accessing and using knowledge assets
  • Develop, adjust and maintain People@ taxonomy & content templates to ensure consistency & alignment with case & process taxonomies
  • Lead People@ taxonomy committee & generate taxonomy changes
  • Provide in-depth knowledge domain analysis to identify knowledge gaps & taxonomy needs
  • Gather & analyze feedback reports to identify technological requirements, content gaps & taxonomy needs
  • Outline future opportunities and strategies to advance content architecture in collaboration with the Content Management Technology Lead
  • Work directly with cross-functional, global stakeholders to understand their pain points, needs and goals as it relates to best categorizing their programs in the overarching taxonomy and knowledge ecosystem
  • Consult with teammates and cross-functional partners to communicate change management strategies around taxonomy and knowledge architecture changes
  • Partner with data & analytics teams to assess taxonomy and knowledge architecture efficacy based on metrics
Minimum Qualifications

  • 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 systems for front-end and back-end use
  • Experience with developing and implementing complex taxonomies, ontologies, and knowledge architecture at scale
  • Experience evaluating and implementing taxonomies to support knowledge & content management systems
  • Experience with designing taxonomies to support search, discovery, and analytics applications of large scale
  • Experience building taxonomies for machine learning classification systems and conversational solutions
  • Experience with a variety of topic/domain types and complexity of taxonomies
  • Experience with systems and business analysis
  • Experience communicating and presenting taxonomy principles and standards
Preferred Qualifications

  • Master’s Degree in Library Science, Information Management, or relevant/equivalent fields
  • Experience with benefits, compensation, health care, payroll, and related HR topics
  • Experience with scripting language such as Python, data asset management tools, CRM (e.g., Salesforce), MuleSoft, Workday

Visit Job Website

Employer: Meta / Facebook (@meta)
Location: Austin, TX, USA
Posted Date: 06/01/2022
Expiry Date: 07/02/2022
Type: Full-Time
Categories: Librarian / Information Professional / Archivist, Metadata / Taxonomy Designer
Ref: DN-JB-650
Added by: DAM News Administrator
We advise you to check the full details with the job's advertiser. We accept no responsibility for the accuracy of the information presented about the jobs shown. By using this facility you agree that we have no liability for any claims or losses in-relation to the information supplied on this website or that of a third party.