Taxonomiste / Architecte de la base de connaissances / Taxonomist / Knowledge Architect

Electronic Arts

Hybrid

Quick summary

Work type
Hybrid
Location
Vancouver, BC, CanadaMontreal, Quebec, Canada
Salary
$92,900–$129,200 / yr
Posted
10 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $111k
$75k most similar roles pay here $264k

This role pays less than 99% of similar roles. Most pay $164,875–$235,000 — the shaded band above. At the midpoint, this role pays about $111k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 94 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 53 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · Taxonomiste / Architecte de la base de connaissances / Taxonomist / Knowledge Architect

Join the Information Architecture team at Electronic Arts as a mid-level Taxonomist and Knowledge Architect, reporting to the Senior Manager of Infrastructure Architecture. You will design taxonomies and metadata schemas that enhance data consistency and drive business value across marketing and customer experience teams. Your day-to-day involves developing knowledge representation models, implementing governance frameworks, creating automated metadata pipelines, and supporting analytics and AI initiatives by improving metadata strategies for machine learning models. Essential skills include expertise in library science, proficiency in SQL, SPARQL, SHACL, SKOS, OWL, RDF, Python, Java, or R, and the ability to translate complex technical concepts into actionable guidance for non-technical stakeholders. This role operates within a high-scale environment, focusing on comprehensive fan intelligence and strategic business operations at EA Experiences.

What you'll do

  • Develop taxonomies and metadata schemas that align with business goals.
  • Implement governance frameworks to ensure data consistency across teams.
  • Create automated pipelines for transforming metadata to meet stakeholder needs.
  • Partner with data science teams to enhance machine learning models.
  • Identify and resolve metadata issues to maintain data integrity.

What we're looking for

  • 5+ years of experience building and implementing taxonomies or ontologies in a global organization.
  • Master's degree in Library Science, Information Science, Computational Linguistics, or equivalent.
  • Expertise in taxonomic architecture principles and adapting controlled vocabularies for organizational needs.
  • Proficiency in SQL, SPARQL, SHACL, SKOS, OWL, RDF, and other semantic standards.
  • Programming skills in Python, Java, or R for data conversion, text processing, and system administration.
  • Analytical mindset with experience analyzing large datasets and understanding machine learning concepts.

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