Harmonizing technical ingenuity with retail business depth to shape data standards, drive performance, and unlock value across the organization by operationalizing Enterprise DQ strategy initiatives.
Requirements
- DQ Expertise with best-in-class DQ Tools (Monte Carlo, Informatica DQ) and in-depth knowledge of DQ principles methodologies & best practices.
- Experience with Data Governance industry Platform Tools (Collibra, Atlan, Alation) & Data Management Frameworks with ServiceNow 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.
Responsibilities
- Lead the design, integration and execution of our Data Quality strategy rooted in Enterprise DG principles and Data Management capabilities (e.g. dg policy, business/technical metadata CDEs, data lineage, data integration &, interoperability).
- 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.
- 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
- Develop Python-based scripts and metadata enrichment pipelines integrated with governance tooling (e.g., data catalog, DQ dashboards, quality scoring systems).
- Operationalize DQ rule sets tied to critical domains including Retail Product Lifecycle Management, Financial Planning & Analysis, Customer Journeys, and Omnichannel Commerce.
- Deliver visually rich and actionable insights through Power BI/Tableau dashboards tailored to executive, merchandising, and finance teams.
- Monitor KPIs that measure DQ impact on business processes and forecast accuracy.
Other
- 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
- You are an innovator with a strong drive to integrate governance with dq automation, and visual storytelling to champion data trust
- You are engaged and eager to learn the business to help it run smarter ensuring data quality fuels retail agility
- Excellent communication skills comfortable with defining, implementing & presenting DQ initiatives to Leadership
- You have a collaborative mindset bridging the gap between technical and non-technical teams
