Manager, Data Governance
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Role details
Tech stack
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Job description
We are seeking a high-impact techno-functional Data Governance Manager to lead the charge and operationalize our DG-driven Enterprise strategy initiatives\xe2\x80\x94harmonizing technical ingenuity with retail business depth\xe2\x80\x94 to shape data standards, drive performance, and unlock value across the organization.This role blends deep, hands-on technical skills in AI/ML, Python, DQ and data visualization with a business-first mindset across the Merchandising Product Lifecycle, Financial Forecast Planning, Omnichannel Commerce and Enterprise Reporting that encompasses core critical data assets (CDEs) across business domains that span finance, product, customer, inventory, and supply chain business unit operations.You will serve as a strategic catalyst to unify data governance objectives with engineering solutions \xe2\x80\x94 building frameworks that scale, rules that matter, DQ governance dashboards that tell the story and shape our global retail decisions.You will blend technical mastery in AI/ML, Python, and data visualization with a strong understanding of business function operations along the end-to-end Product Lifecycle, Finance, and Omnichannel Reporting.You will ensure that our data quality standards not only meet rigorous technical benchmarks but are anchored in business relevance across Product Lifecycle, Finance, eCommerce, Store Operations, and Inventory Management. 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.
What you’ll do
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Lead the design, integration and execution of our Data strategy rooted in Enterprise DG
principles and Data Management capabilities (e.g. dg policy, business/technical metadata CDEs,
data lineage, data integration &, interoperability).
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Partner with DG teams to translate business requirement rules into technical specifications for
solutioning AI-powered automation, validation, anomaly detection, continuous monitoring &
remediation integrating DQ with ServiceNow, Enterprise DQ dashboards and DG Catalog
Platform Tools.
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Architect and deploy AI/ML models to automate end-to-end DQ checks (e.g.,
technical/operational and business rules) across retail business domain functions: finance,
inventory, pricing, promotions, assortment, vendor transaction records working with best-in-
class DQ and DG Tooling
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Develop Python-based scripts and metadata enrichment pipelines integrated with governance
tooling (e.g., data catalog, DQ dashboards, quality scoring systems).
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Operationalize DQ rule sets tied to critical domains including Retail Product Lifecycle
Management, Financial Planning & Analysis, Customer Journeys, and Omnichannel Commerce.
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Deliver visually rich and actionable insights through Power BI/Tableau dashboards tailored to
executive, merchandising, and finance teams.
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Facilitate collaboration between DG stewards, domain SMEs, and technology teams to ensure
consistent interpretation and enforcement of DQ rules & policies.
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Monitor KPIs that measure DQ impact on business processes and forecast accuracy.
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You are a strategic thinker that see\xe2\x80\x99s the big picture across the data ecosystem \xe2\x80\x94from data
acquisition to transformation to consumption and how it powers business decisions
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You are an innovator with a strong drive to integrate governance with dq automation, and visual
storytelling to champion data trust
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You are engaged and eager to learn the business to help it run smarter ensuring data quality
fuels retail agility
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Excellent communication skills comfortable with defining, implementing & presenting DQ
initiatives to Leadership
Requirements
You have excellent analytical skills to identify data patterns, troubleshoot issues, and propose
effective solutions., Bachelor\xe2\x80\x99s or Master\xe2\x80\x99s 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, Expertise with best-in-class DG Tools (Atlan, Collibra, Monte Carlo, Informatica DQ
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Experience with Data Governance industry Platform Tools (Collibra, Atlan, Alation) & Data
Management Frameworks with ServiceNow DQ workflow integration
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Advanced proficiency in Python building scripts for dq automation integration, and metadata
enrichment
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Experience using AI/ML for retail intelligence, predictive modeling, and operational automation
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Mastery of data visualization tools (Power BI, Tableau, Miro) with a flair for insight storytelling
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Proficiency in SQL, relational databases, and cloud-native data warehouses (Azure, GCP, AWS)
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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.
Benefits & conditions
At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture. \n \n’b’
Our portfolio\xe2\x80\x94Old Navy, Gap, Banana Republic, and Athleta\xe2\x80\x94each brings a distinct point of view to how we show up in the world and serve our customers. \n \n’b’
Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality.\xc2\xa0Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel.\xc2\xa0Athleta champions the Power of She through confidence, strength, and movement. \n \n’b’
We\xe2\x80\x99re driven by a shared purpose: to bridge gaps\xe2\x80\x94between people, perspectives, and possibilities\xe2\x80\x94to create a better world. \n \n’b’
We\xe2\x80\x99re building a team that performs at a high level\xe2\x80\x94people who think boldly, take ownership, and turn ideas into impact. If you\xe2\x80\x99re ready to learn fast and help shape what\xe2\x80\x99s next, you\xe2\x80\x99ll fit right in. \n’b”, * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. \t
- One of the most competitive Paid Time Off plans in the industry.* \t
- Employees can take up to five \xe2\x80\x9con the clock\xe2\x80\x9d hours each month to volunteer at a charity of their choice.* \t
- Extensive 401(k) plan with company matching for contributions up to four percent of an employee\xe2\x80\x99s base pay.* \t
- Employee stock purchase plan.* \t
- Medical, dental, vision and life insurance.* \t
- See more of the benefits we offer.
‘b’
*For eligible employees \n ‘
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