General Information

Locations: Vancouver, British Columbia, Canada

Role ID

213986

Worker Type

Regular Employee

Studio/Department

Experiences

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

The Office of the CXO (oCXO) drives effectiveness across the EA Experiences organization, focusing on excellence in business operations, comprehensive fan intelligence, and internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate outcomes in service of our goals. You will report to the Senior Manager, Infrastructure Architecture.

Role Overview

We are looking for a mid-level Taxonomist and Knowledge Architect to join the Information Architecture team within the oCXO Fan Intelligence group. You will be a strategic partner to our Franchise Analytics teams. You will design and advocate for architecture solutions that improve how we deliver insights. These insights are for campaign planning and executive decision-making across marketing and customer experience.

You will bridge the gap between traditional library science and modern data engineering. You have a curious mindset and be comfortable explaining semantic relationships to stakeholders and writing utility scripts to automate metadata pipelines. We ask that you will be a proactive problem solver who understands how data structures drive business value in a high-scale environment.

Responsibilities

In this dual role of Taxonomist (60%) and Knowledge Architect (40%), you will:

• Architect Solutions: Develop taxonomies, metadata schemas, and knowledge representation models (ontologies, semantic networks) that align with our goals and technical system requirements.
• Operationalize Governance: Lead the implementation of taxonomies, ontologies, and governance frameworks, and educate partners on workflows to ensure data consistency across diverse teams.
• Create Data Solutions: Collaborate with system owners to establish data-sourcing agreements and build automated pipelines that transform metadata to meet stakeholder requirements.
• Support Analytics and AI: Partner with data science teams to improve labelling practices and metadata strategies that enhance machine learning models and automated insights.
• Resolve Information Gaps: Identify and fix metadata issues to ensure data integrity and ensure seamless information flow between front-end interfaces and backend reporting systems.

Qualifications

• Experience: 5+ years of experience building and implementing taxonomies or ontologies within a global organization.
• Education: Master's degree in Library Science, Information Science, Computational Linguistics, or equivalent education and professional experience.
• Taxonomy Expertise: Understanding of the theoretical principles of taxonomic architecture and experience adapting controlled vocabularies for organizational needs.
• Technical Knowledge: Proficiency in standards-based tools and languages, including SQL, SPARQL, SHACL, and semantic standards such as SKOS, OWL, and RDF.
• Programming and Automation: Proficiency in Python, Java, or R for data conversion, text processing, and system administration.
• Analytical Mindset: You will analyze large datasets to identify patterns and a foundational understanding of machine learning and natural language processing.
• Collaborative Spirit: Strong business acumen, adaptability to competing stakeholder needs and changing priorities, and the ability to translate complex technical concepts into actionable guidance for non-technical stakeholders.

Pay Transparency - North America

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$92,900 - $129,200 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.