$170,000 - $204,000 usd; not specified; medical, d...
On-site
Enterprise event taxonomy development
Global event data catalog
Data quality and governance
The New York Times is seeking a Lead Data Taxonomist to architect and steward an enterprise-wide event taxonomy across multiple products to improve data quality and power AI initiatives
Job Summary
The New York Times is seeking a Lead Data Taxonomist to architect and steward an enterprise-wide event taxonomy across multiple products to improve data quality and power AI initiatives.
Responsibilities include developing a multi-domain taxonomy, enforcing global event standards, acting as the final authority for taxonomy changes, and overseeing the enterprise event catalog.
The role requires 7+ years in data taxonomy or related fields, expertise with event-cataloging software, and mastery of SQL and Python, with preferred experience in subscription or media industries.
Matching Summary
The New York Times is seeking a Lead Data Taxonomist to architect and steward an enterprise-wide event taxonomy across multiple products to improve data quality and power AI initiatives.
Salary
$170,000 - $204,000 USD; Not specified; Medical, dental and vision benefits, 401(k) plan, paid time off
Skills & Requirements
Must-have
Enterprise event taxonomy development
Global event data catalog
Data quality and governance
Information architecture best practices
Master data management principles
Nice-to-have
Subscription or media industry experience
Data Contracts implementation
CI/CD workflow familiarity
Key Requirements
7+ years in Data Taxonomy, Data Ontology, Data Architecture, Technical Product Management, or Digital Analytics Implementation
5+ years developing taxonomies and information architecture
5+ years experience with event-cataloging software
Experience managing complex, global event taxonomies
Expertise with JSON, YAML, and data modeling tools
Mastery of SQL, Python, and data wrangling tools
Experience enforcing standards in decentralized engineering environments
Applied knowledge of data governance, quality, and management practices