Data Librarian

GLG is the world's insight network. Our clients rely on GLG's global team to connect with powerful insight across fields from our network of 900,000 experts (and the hundreds of new experts we recruit every day).

We serve thousands of the world's best businesses, from Fortune 500 corporations to leading technology companies to professional services firms and financial institutions. We connect our clients to the world's largest and most varied source of first-hand expertise, including executives, scientists, academics, former public-sector leaders, and the foremost subject matter specialists.

Job Summary

GLG’s Data Operations team powers the data that enables GLG to efficiently identify relevant experts with high precision and accuracy for its clients. The Data Operations team is responsible for a broad set of structured data on its experts.

The Data Librarian on the Data Operations team is primarily responsible for identifying, building and maintaining a series of taxonomies and associated metadata that enables our powerful search capabilities. This role will work directly with users to understand their needs in addition to analyzing data to understand usage patterns to develop and maintain GLG’s taxonomies.

Responsibilities and Duties

• Builds and maintains a series of taxonomies including crosswalks and associated metadata.
• Works closely with stakeholders in the business and engineering to understand their needs. Designs and implements changes to the taxonomies to satisfy stakeholder requirements.
• Analyzes relevant data as it pertains to usage of the taxonomies. Translates usage patterns into data solutions. Addresses issues that arise in its on-going usage.
• Develops processes around various data cleaning and creation exercises. Creates training and monitors progress on data cleaning tasks completed by offshore resources.

Qualifications and Skills

• At least two (2) years of experience defining, building, or maintaining taxonomies or ontologies.
• Bachelor's degree (Master Preferred) in Library Science (MLS) from an American Library Association (ALA) accredited program

and/or

Bachelor’s degree in Linguistics or Computational Linguistics

• Relevant work experience with data analysis, collection development, discovery services, electronic resources management, or technical services in an academic or public library.
• Ability to work effectively within teams and independently.
• Flexibility and willingness to expand or shift the range of responsibilities to meet evolving needs.

Preferred Qualifications

• Experience with Python or SQL
• Experience with taxonomy tools like Synaptica, Smartlogic Semaphore or Pool Party.
• Implementing natural language processing (NLP) and/or large language model (LLM) data projects

Last updated on Aug 5, 2024