1

Data Taxonomist Jobs (NOW HIRING)

About the Role, Mission or Department Overview The New York Times is looking for a Lead Data Taxonomist to serve as the architect and steward of our enterprise-wide event taxonomy. The New York Times ...

Data Management and Reporting * Tabulate and analyze data related to macroinvertebrate assemblages ... Certification as a Taxonomist by a recognized body (e.g., Society for Freshwater Science)

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). * Collaborates with firm leadership to identify strategic ...

Under limited supervision, perform operational field studies, surveillance, data collection and species identification. Conduct arboviral disease trapping, testing and reporting. Conduct insecticide ...

Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). * Collaborates with firm leadership to identify strategic ...

Data Management and Reporting * Tabulate and analyze data related to macroinvertebrate assemblages ... Certification as a Taxonomist by a recognized body (e.g., Society for Freshwater Science)

Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). * Collaborates with firm leadership to identify strategic ...

Data Management and Reporting * Tabulate and analyze data related to macroinvertebrate assemblages ... Certification as a Taxonomist by a recognized body (e.g., Society for Freshwater Science)

Under limited supervision, perform operational field studies, surveillance, data collection and species identification. * Conduct arboviral disease trapping, testing and reporting. * Conduct ...

Data architecture, data workflow logical models, physical source data models, data profiling reports, data quality control and data audits, data definitions, data taxonomy, data metrics, meta-data ...

next page

Showing results 1-20

Data Taxonomist information

What are some typical projects or daily tasks a Data Taxonomist works on?

Data Taxonomists often spend their days analyzing large datasets, designing and maintaining taxonomies and controlled vocabularies, and collaborating with data engineers and subject matter experts to ensure proper classification and tagging of information. They may be responsible for auditing existing taxonomies, mapping data across disparate systems, and implementing metadata standards to improve searchability and usability. The role frequently involves meetings with business stakeholders to understand data needs and translating those requirements into actionable taxonomy structures. Due to this bridge function between technical and business teams, Data Taxonomists play a key part in enhancing data governance and the overall discoverability of information within an organization.

What is a Data Taxonomist job?

A Data Taxonomist is responsible for organizing, classifying, and structuring data to enhance searchability, consistency, and usability. They develop taxonomies, metadata schemas, and classification systems to ensure data is categorized logically across an organization. This role often involves working with data governance teams, data scientists, and content managers to improve data quality and retrieval. Data Taxonomists play a key role in ensuring that information is accessible, well-structured, and aligned with business needs.

What are the key skills and qualifications needed to thrive in the Data Taxonomist position, and why are they important?

A successful Data Taxonomist possesses strong analytical skills, domain knowledge in information science, and experience with data modeling and taxonomy development, often supported by a degree in library science, information management, or a related field. Familiarity with metadata standards, ontologies, taxonomy management tools (such as PoolParty or TopBraid), and sometimes certifications like DAMA or relevant data governance coursework is valuable. Excellent attention to detail, problem-solving abilities, and strong collaboration and communication skills help Data Taxonomists work effectively with cross-functional teams. These skills are crucial for ensuring that data assets are accurately classified, easily searchable, and consistently organized across complex digital environments.

More about Data Taxonomist jobs
What are the most commonly searched types of Data Taxonomist jobs? The most popular types of Data Taxonomist jobs are:
What states have the most Data Taxonomist jobs? States with the most job openings for Data Taxonomist jobs include:
Infographic showing various Data Taxonomist job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 47% In-person, 15% Hybrid, and 38% Remote job distribution.
Lead Data Taxonomist

Lead Data Taxonomist

The New York Times

New York, NY • On-site

Other

Posted 21 days ago


Job description

About the Role, Mission or Department Overview

The New York Times is looking for a Lead Data Taxonomist to serve as the architect and steward of our enterprise-wide event taxonomy. The New York Times is home to multiple products across News, Games, Cooking, Wirecutter, and The Athletic with billions of monthly events. Therefore, the need for a unified, governed, and high-quality data language is critical. In a long-term effort, it will dramatically improve data quality at the New York Times and power real-time recommendation engines, personalization algorithms, and future AI initiatives.

You will be responsible for New York Times' global event data catalog and taxonomy. You will sit at the intersection of Product, Data Platform, and Analytics, capturing every interaction - from a Wordle guess to a subscriber payflow - through a standardized, semantic lens. You will report to our Executive Director, Data & Insights.

Responsibilities:

  • You will develop and maintain a multi-domain enterprise taxonomy that includes Behavioral, Commerce, Messaging, User, Session, and other key data domains. This taxonomy will be transferable across all NYT products and codebases.

  • You will establish and enforce global events, event properties, standard property values, required fields, acceptable value types, and naming conventions. You will own the definition and lifecycle of global events that track the user journey across the entire NYT ecosystem.

  • You will be the final authority for the taxonomy, approving or rejecting all pull requests and proposals for new events, properties, or changes to the existing taxonomy.

  • You will oversee the enterprise event catalog, ensuring it serves as a high-fidelity source of truth with accurate business logic and metadata.

  • You will define and monitor domain-specific KPIs for data quality, security, and integration, solving for systemic issues.

  • You will iterate with engineers to improve instrumentation capabilities in service of data products

  • You will collaborate with engineers to align the taxonomy with Kafka infrastructure and with Analytics Engineering to ensure data is designed to flow effortlessly downstream and to help develop our larger New York Times ontology

  • You will facilitate and provide oversight for data councils concerning events and metrics

  • You will provide support and training to product and analytics teams to improve and evolve event tracking

  • You will advocate for information architecture best practices and master data management (MDM) principles across the organization.

  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • 7+ years in Data Taxonomy, Data Ontology, Data Architecture, Technical Product Management, or Digital Analytics Implementation.

  • 5+ years of developing taxonomies and information architecture for front-end and back-end use cases

  • 5+ years of experience with event-cataloging software (e.g., Avo, Iteratively, Segment Protocols, or proprietary internal tools).

  • Experience managing complex, global event taxonomies for large, multi-product organizations

  • Expertise with JSON, YAML, and other data modeling languages and tools

  • Mastery of SQL, Python, and other data wrangling tools and languages

  • Experience enforcing standards in high-growth, decentralized engineering environments

  • Applied knowledge of industry-leading data governance, quality, and data management practices and tools

Preferred Qualifications:

  • Proficiency with GCP, AWS, or other big data environments

  • Background in subscription or media industries with complex data

  • Familiarity with Data Contracts and their implementation within a CI/CD workflow.

  • Master's degree in Library Science, Information Management, or Computer Science.

REQ-019811