Lead Data Catalog Specialist

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Catalog Specialist
Summary:
Seeking a Technical Business Analyst with strong knowledge of healthcare insurance data products data cataloging and data governance. The ideal candidate will bridge business and technical teams by translating business requirements into technical metadata lineage and catalog structures that enable a scalable governed data ecosystem.
Requirements:
Min 7 years of IT experience with relevant work experience as a Technical Analyst in healthcare insurance.
Strong understanding of healthcare insurance data domains (Claims Member Provider Enrollment Billing/Finance).
Work Experience with data catalog tools (e.g. Collibra Alation Informatica EDC AWS Glue Data Catalog or similar).
Experience with cloud data platforms (AWS Azure or GCP).
Work Experience in data governance frameworks metadata management and data lineage concepts.
Knowledge in SQL and data analysis is preferred.
Ability to translate business requirements into clear technical requirements.
Strong communication documentation and stakeholder management skills.
Exposure to data quality and data stewardship processes is a plus
Responsibilities:
Partner with business and data teams to understand healthcare insurance data (Member Claims Provider Finance etc.) and document requirements.
Translate business definitions rules and processes into technical metadata data lineage and catalog entries.
Build and maintain data catalog assets (business glossary datasets lineage classifications tags).
Support the implementation of data governance policies data quality rules and stewardship workflows.
Collaborate with data engineering architecture and governance teams to ensure proper metadata ingestion and standards compliance.
Conduct gap analysis on metadata identify missing attributes and drive improvements in catalog completeness.
Facilitate stakeholder workshops to align terminology ownership and governance expectations.
Provide guidance on data discovery and help users effectively navigate the catalog