About Job

JobTarget is a leading company in the online job search and recruiting industry. Our team is comprised of experts in recruitment, e-commerce, and online job search. Our products are used by thousands of corporate recruiters and reach millions of job seekers.

We are seeking a forward-thinking and highly organized Leader of Metadata Governance and Data Sourcing to play a foundational role in our data infrastructure. In this role, you’ll be responsible for acquiring and enhancing third-party data sources and ensuring the integrity and usability of these data assets. You will also lead our data parsing systems, ensuring high-quality structured data flows into downstream systems such as search, reporting, analytics, and AI models.

Responsibilities

Metadata Governance & Reference Data Management

Own and maintain core data structures across:
Job Titles / Topic Model / Job Functions
Skills and Skill-Title Relationships
Company and Industry Metadata
Location Hierarchies and Coordinates
ATS and Job Board Profiles
Job Application and Disposition Metadata
Resume Metadata and Career Progression Patterns
Define standards, taxonomies, and entity relationships across these datasets and ensure they are properly documented and versioned.

Data Sourcing & Acquisition

Identify, assess, and onboard 1st- and 3rd-party data from a variety of sources (customers, partners, vendors, public datasets).
Partner with Legal and Engineering to manage data agreements, ingestion pipelines, and usage policies.
Work with external vendors (e.g., BLS, PDL, Resume Library, LinkedIn, Aspen, Jobspikr) and internal integrations (ATS feeds, career site scrapes).

Parser Operations (Resumes and Job Descriptions)

Serve as operational owner for our parsing systems for resumes and job descriptions.
Ensure parsing tools are accurate, performant, and regularly updated to reflect evolving job market and resume trends.
Collaborate with the Data team to optimize the parsing pipeline and post-processing logic.
Monitor structured output quality and coordinate QA testing and vendor issue resolution.

Data Integration & Quality Management

Design and maintain processes for linking, deduplicating, and enriching data across systems.
Define and enforce data quality rules for entity resolution (e.g., linking jobs ↔ resumes ↔ applications).
Ensure datasets are consistently accessible and integrated across analytics, product, and ML pipelines.

Cross-Functional Enablement

Enable Product, Engineering, Sales, and Data Science teams to build features and intelligence off reliable metadata.
Support use cases such as search filtering, job-candidate matching, salary insights, programmatic bidding, and customer-facing analytics.
Act as the go-to SME for foundational data integrity across the platform.