Data Catalog Manager

GlobalFoundries•Austin, TX

2d•$124,000 - $208,000

About The Position

About GlobalFoundries: GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com. Summary of Role: We are seeking an experienced Data Catalog Manager with at least 10-12 years of proven expertise in data cataloging, data lineage, and metadata management, particularly using platforms like Alation (or similar tools such as Collibra, Atlan). The ideal candidate will play a critical role in building and operationalizing our enterprise data governance framework within a complex semiconductor manufacturing environment, partnering with cross-functional teams to enable trusted, discoverable, and well-governed data. This role is both strategic and hands-on—requiring the ability to develop governance frameworks, engage with business stakeholders, and roll up your sleeves to code, automate, and integrate metadata pipelines. Experience leveraging AI and automation for data discovery, classification, and lineage visualization is strongly preferred.

Requirements

Education: Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related field.
Experience: At least 10-12 years in data governance, metadata management, or data architecture roles; semiconductor or manufacturing industry experience strongly preferred.
Technical Skills (minimum): 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.
Soft Skills: Excellent communication, stakeholder engagement, and cross-functional collaboration skills. Self-driven, curious, and willing to deep dive into both business processes and technical systems.

Nice To Haves

Experience with semiconductor manufacturing systems (MES, SPC/FDC, Yield Management, ERP).
Exposure to regulatory compliance and quality frameworks (IATF 16949, DFARS, GDPR, SOX).
Demonstrated success in implementing enterprise data governance at scale.
Ability to balance strategic planning with hands-on execution.

Responsibilities

Data Cataloging & Metadata Management Implement and manage enterprise metadata repositories and data catalogs (e.g., Alation) 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.
Data Lineage & Governance Frameworks Develop, document, and maintain end-to-end data lineage across complex data flows in manufacturing, supply chain, quality, and finance systems.
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.
Stakeholder Engagement & Communication Partner closely with business units—Manufacturing, Product, HR, Supply Chain, Finance, Commercial, and Quality—to understand data needs, compliance requirements, and data usage patterns.
Translate business concepts into technical metadata definitions and vice versa.
Conduct training and workshops to drive catalog adoption and data literacy.
Technical Enablement Integrate data catalog and lineage tools with enterprise systems (ERP, MES, SPC, FMCS, Data Lake, BI tools).
Develop scripts or lightweight applications (Python, SQL, REST APIs) for data curation and metadata automation.
Work with AI platforms to improve metadata enrichment, classification, and search relevance.
Continuous Improvement Stay current with emerging technologies in data governance, AI for metadata management, and regulatory trends (IATF 16949, DFARS, CMMC, GDPR, etc.).
Recommend and implement best practices for sustainable data governance within a high-volume manufacturing data ecosystem.
Other Responsibilities: Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.