More jobs:
Manager, Data Governance
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-19
Listing for:
Gap Inc. - Internal
Full Time
position Listed on 2026-06-19
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Security
Job Description & How to Apply Below
Role Overview
We are seeking a high-impact techno-functional Data Governance Manager to lead the charge and operationalize our DG-driven Enterprise strategy initiatives-harmonizing technical ingenuity with retail business depth- to shape data standards, drive performance, and unlock value across the organization.
What You Will Do- Lead the design, integration and execution of our Data strategy rooted in Enterprise DG principles and Data Management capabilities.
- Partner with DG teams to translate business requirement rules into technical specifications for solutioning AI-powered automation, validation, anomaly detection, continuous monitoring & remediation.
You will be instrumental in embedding DQ controls from data acquisition to consumption to deliver clear, actionable insights across business units promoting data accuracy, trust, reliability, and dq interoperability across the Enterprise.
Requirements- Bachelor’s or Master’s degree in Computer Science, Data Analytics, Business Intelligence, or related field
- 5+ years in Lead Data Quality roles, preferably within Retail, CPG, or B2C eCommerce environments
- Expertise with best-in-class DG Tools (Atlan, Collibra, Monte Carlo, Informatica DQ)
- Experience with Data Governance industry Platform Tools (Collibra, Atlan, Alation) & Data Management Frameworks with Service Now DQ workflow integration
- Advanced proficiency in Python building scripts for dq automation integration, and metadata enrichment
- Experience using AI/ML for retail intelligence, predictive modeling, and operational automation
- Mastery of data visualization tools (Power BI, Tableau, Miro) with a flair for insight storytelling
- Proficiency in SQL, relational databases, and cloud-native data warehouses (Azure, GCP, AWS)
- Strong understanding of Retail Product Lifecycle Management (PLM) and Finance Performance Metrics (e.g., FP&A, Company Planning, GL), business and technical metadata (CDE) s for implementing DQ Controls
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