Key responsibilities will include: - Design, develop, and implement data quality strategies, processes, and tools - Analyze our data model and infrastructure, spotting gaps and suggesting architectural improvements - Develop and build a data pipeline to enable the master data management platform - Conduct data profiling, data cleansing, and data validation to identify and resolve data quality issues - Develop and maintain data quality metrics, dashboards, and reports to supervise data quality performance - Collaborate with data engineers, data analysts, and other collaborators to define data quality requirements and standard processes - Ensure high performance, privacy, security, scalability, and reliability in our solutions - Perform root cause analysis of data issues and implement corrective actions - Continuously improve data quality processes and tools through automation and innovation