Supervisor-Utilization Management

Responsibilities: Leads the implementation and monitoring of data quality standards, policies, controls, and processes across enterprise systems. Ensures data is accurate, complete, consistent, unique, valid, timely, and fit for business use. Oversees data profiling, validation, cleansing, reconciliation, exception management, and quality monitoring. Monitors data quality performance using KPIs, scorecards, dashboards, and management reports. Leads root-cause analysis and resolution of recurring data quality issues. Oversees reconciliation and validation across source systems, standardized datasets, and Oracle. Collaborates with the Data Engineering Team to automate data quality checks, validation, reconciliation, and monitoring. Establishes and monitors quality standards for gold-standard and critical datasets. Partners with data owners and stakeholders to ensure issues are resolved at the appropriate source. Supervises, coaches, and develops Data Quality Analysts. Drives continuous improvement and reduction of manual data quality activities. Experience At least 1-3 years of experience in data quality, data management, data analytics, master data management, or a related field Hands-on experience in data profiling, data validation, data cleansing, reconciliation, and data quality monitoring Experience developing and implementing data quality rules, controls, KPIs, and reporting Experience working with large or complex datasets from multiple data sources Experience conducting root-cause analysis and resolving recurring data quality issues Experience in data quality automation or process improvement is highly preferred