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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’s the big picture across the data ecosystem —from 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
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You bring both technical rigor and data quality literacy to both business data and technical
conversations
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You have a collaborative mindset bridging the gap between technical and non-technical teams
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You thrive in fast-paced goal-focused environments
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You have excellent analytical skills to identify data patterns, troubleshoot issues, and propose
effective solutions.