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Data Catalog/Data Governance Lead
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-06-18
Listing for:
Apollo Solutions
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Data Engineering, Data Security, Data Warehousing
Job Description & How to Apply Below
Location: New York
Role:
Senior Data Catalog & Governance Lead
We are seeking an experienced Data Catalog & Governance Lead to drive the design, implementation, and adoption of enterprise data governance capabilities across a large-scale data ecosystem.
This role will focus on owning and delivering data catalog solutions, enabling trusted data discovery, strong metadata management, and effective governance workflows across business and technology teams.
Key Responsibilities- Lead the design and implementation of enterprise data catalog platforms (e.g. Collibra, Alation, Purview)
- Define and manage metadata strategy, including business glossary, lineage, and critical data elements (CDEs)
- Establish and ope rationalise data governance frameworks, standards, and workflows
- Drive data catalog adoption, working with data owners, stewards, and business stakeholders
- Design and implement stewardship models, approval workflows, and governance processes
- Work closely with data engineering teams to ensure catalog integration and metadata ingestion
- Develop and track governance KPIs (data quality, lineage coverage, catalog adoption, etc.)
- Support regulatory and compliance initiatives through strong data transparency and control frameworks
- Proven experience building and implementing data catalog platforms end-to-end
- Strong expertise in: metadata management, data lineage, business glossary design, data ownership / stewardship models
- Hands‑on experience with tools such as:
Collibra, Alation, Purview, Informatica EDC (or similar) - Experience working in financial services or regulated environments
- Ability to bridge business and technology teams
- Strong stakeholder engagement and communication skills
- Experience with semantic layers, ontologies, or knowledge graphs
- Exposure to AI/ML data readiness and metadata‑driven architectures
- Understanding of modern data platforms (Snowflake, Databricks, etc.)
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