Data Quality Lead (Retail Domain)

Role: Data Quality Lead Location: Minneapolis, MN (Hybrid) Job Type: Long-term Contract Job Description: We are seeking an experienced Data Quality Lead to define and drive enterprise-wide data quality standards across Retail Media Network (RMN) platforms and downstream systems. This role will be responsible for establishing data validation strategies, reconciliation frameworks, attribution accuracy, billing integrity, and reporting quality across complex data ecosystems. The ideal candidate will have a strong background in data governance, data quality management, analytics, and large-scale data platforms, with experience ensuring the accuracy and reliability of business-critical data. Key Responsibilities • Own and lead the end-to-end data quality strategy for RMN data flows from upstream source systems to downstream reporting and billing platforms. • Define and implement data validation, reconciliation, and quality assurance frameworks to ensure data accuracy and consistency. • Establish data quality standards, KPIs, SLAs, and monitoring processes across business and technical teams. • Drive attribution validation and ensure accurate campaign measurement and reporting. • Partner with Product, Engineering, Analytics, Finance, and Operations teams to identify and resolve data quality issues. • Develop automated data quality checks, exception reporting, and root-cause analysis processes. • Ensure billing accuracy through reconciliation of campaign, transaction, and financial data. • Create dashboards and reporting mechanisms to measure data quality performance and operational health. • Lead data governance initiatives, including data lineage, metadata management, and quality controls. • Identify opportunities to improve processes and reduce manual reconciliation efforts through automation. • Provide leadership, mentorship, and guidance to data quality and validation teams. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field. • 8+ years of experience in Data Quality, Data Governance, Data Management, or Data Engineering. • Strong experience with data validation, reconciliation, and data quality frameworks. • Experience working with large-scale data platforms, ETL processes, and data pipelines. • Proficiency in SQL and data analysis tools. • Experience with reporting and visualization platforms such as Tableau, Power BI, or Looker. • Strong understanding of data lineage, metadata management, and master data concepts. • Experience collaborating with cross-functional stakeholders including Finance, Analytics, and Engineering teams. • Excellent problem-solving, communication, and leadership skills.