Defining, modeling, and validating semantic relationships
Governance strategies and metadata policies
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Warner Bros. Discovery is seeking a Sr. Manager for Taxonomy & Ontology to lead the development and governance of enterprise-wide ontology and taxonomy structures across its content data domains. The ideal candidate will have extensive experience in metadata architecture and a background in media, with a focus on ensuring consistency and interoperability across systems.
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Job Summary
This critical leadership role is responsible for establishing, maintaining, and governing a singular, enterprise-wide ontology and associated taxonomy structures across WBD content data domains.
They will develop governance strategies, enforce metadata policies, and partner with technical and operational stakeholders to ensure metadata consistency, interoperability, and downstream readiness across WBD systems.
Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done.
Matching Summary
Match Score: 75
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Warner Bros. Discovery is seeking a Sr. Manager for Taxonomy & Ontology to lead the development and governance of enterprise-wide ontology and taxonomy structures across its content data domains. The ideal candidate will have extensive experience in metadata architecture and a background in media, with a focus on ensuring consistency and interoperability across systems.
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Skills & Requirements
Must-have
enterprise-wide ontology and taxonomy structures
defining, modeling, and validating semantic relationships
governance strategies and metadata policies
ontology-driven system design
metadata analysis and validation
ontology modeling and taxonomy management applications
Nice-to-have
AI-powered metadata enrichment
knowledge graph applications
appreciation for global media content
collaboration in a fast-paced environment
Key Requirements
5+ years of experience in ontology design, taxonomy management, metadata architecture, data governance, or data modeling
Master’s degree in Library & Information Science, knowledge management, computer science, data governance, or a related field
English fluency required
1-2 years of experience in the media industry preferred