Data Quality Supervisor

Apply

Oct 22, 2026 6 hr. ago

Discussion

Maxicare Healthcare Corporation Data Quality Supervisor

Apply

Discussion

<h3 class="PDq2pG_selectionAnchorContainer">Key Responsibilities</h3><ul><li> Lead the implementation and maintenance of data quality standards, policies, procedures, and controls for critical enterprise data. </li><li> Establish and maintain data quality rules and validation criteria covering accuracy, completeness, consistency, uniqueness, validity, and timeliness. </li><li> Oversee data profiling, assessment, validation, and monitoring of critical provider data. </li><li> Monitor and report data quality performance through KPIs, scorecards, dashboards, and management reports. </li><li> Lead the investigation and resolution of data quality issues through root-cause analysis and corrective/preventive actions. </li><li> Oversee data reconciliation and validation across source systems, standardized datasets, and Oracle. </li><li> Collaborate with Data Engineering teams to automate data quality checks, validation, reconciliation, and monitoring processes. </li><li> Define and monitor quality criteria for gold-standard data and ensure critical datasets meet established standards. </li><li> Partner with data owners and cross-functional teams to resolve data quality issues at the appropriate source. </li><li> Supervise, coach, and develop Data Quality Analysts while driving continuous improvement and reducing manual quality activities. </li></ul><h3>Required Experience</h3><ul><li>1–3 years of experience in data quality, data management, data analytics, master data management, or a related field. </li><li> Hands-on experience in data profiling, validation, cleansing, reconciliation, and data quality monitoring. </li><li> Experience developing and implementing data quality rules, controls, KPIs, and reporting. </li><li> Experience working with large or complex datasets from multiple data sources. </li><li> Experience conducting root-cause analysis and resolving recurring data quality issues. </li><li> Experience in data quality automation or process improvement is highly preferred. </li><li> Experience working with ETL/ELT processes and data integration is preferred. </li><li> Experience using data visualization and reporting tools, such as Power BI or similar platforms, is an advantage. </li></ul><h3>Qualifications & Skills</h3><ul><li> Strong knowledge of data quality principles, data governance, and master data management. </li><li> Advanced skills in data profiling, validation, reconciliation, and analysis. </li><li> Knowledge of data modeling, metadata, data lineage, and data standards. </li><li> Proficiency in Python or other scripting languages for data quality automation is preferred. </li><li> Familiarity with data quality tools, automation, and monitoring solutions. </li><li> Familiarity with healthcare data is an advantage. </li><li> Strong analytical and problem-solving skills, with the ability to identify issues and determine root causes. </li><li> Strong leadership skills with the ability to supervise, coach, and develop team members. </li><li> Excellent communication and collaboration skills across teams and functions. </li><li> Strong attention to data accuracy, integrity, and quality. </li><li> Proactive mindset with a focus on continuous improvement and process optimization. </li><li> Ability to translate data quality issues and insights into clear recommendations and business actions. </li><li> Strong sense of ownership and accountability for quality outcomes and issue resolution.</li></ul>

Skills

Apply

Description

Skills

See also