Data Catalog Manager in semiconductor industry managing data cataloging and governance frameworks. Collaborating on enterprise metadata and enforcing data quality across organization.
Responsibilities
Implement and manage enterprise metadata repositories and data catalogs to improve data discoverability and quality.
Define and maintain metadata standards, business glossaries, and stewardship processes across multiple data domains.
Automate metadata ingestion and classification using APIs, scripts, and AI-driven discovery tools.
Develop, document, and maintain end-to-end data lineage across complex data flows in manufacturing.
Collaborate with data stewards and IT teams to establish clear ownership, accountability, and quality metrics for critical data elements.
Use AI/ML techniques to enhance lineage accuracy, impact analysis, and anomaly detection.
Partner closely with business units to understand data needs, compliance requirements, and data usage patterns.
Conduct training and workshops to drive catalog adoption and data literacy.
Requirements
Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related field.
At least 10-12 years in data governance, metadata management, or data architecture roles; semiconductor or manufacturing industry experience strongly preferred.
Hands-on experience with Alation (preferred), Collibra , or equivalent catalog tools.
Strong SQL and Python scripting abilities.
Familiarity with ETL tools (Ab Initio, PySpark) and BI platforms (QlikView, Power BI).
Working knowledge of AI/ML techniques applied to data cataloging, classification, and lineage automation.
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