Data Quality Consultant

Job Purpose: The Data Quality Consultant is responsible for implementing, monitoring, and continuously improving enterprise data quality practices to ensure the accuracy, completeness, consistency, and reliability of organizational data assets. The role supports data governance initiatives through data profiling, validation, cleansing, monitoring, and remediation activities while leveraging data quality tools and frameworks to enhance data trust and business decision-making. Key Accountabilities: • Design, implement, and maintain enterprise data quality controls, standards, and monitoring processes. • Perform data profiling, validation, quality assessments, and root cause analysis to identify data quality issues. • Develop and implement data quality rules, scorecards, KPIs, and monitoring dashboards. • Support data cleansing, remediation, and issue resolution activities across business and technology domains. • Conduct data quality assessments and provide recommendations for data improvement initiatives. • Collaborate with business users, data owners, data stewards, and technical teams to resolve data quality issues. • Support the implementation and operation of Data Governance and Data Quality frameworks. • Configure and administer Data Quality tools and platforms to support enterprise data management requirements. • Monitor data quality metrics and ensure compliance with established quality standards and policies. • Produce reports, dashboards, and analyses related to data quality performance and compliance. • Support metadata management, data lineage, and data governance initiatives where required. • Contribute to continuous improvement initiatives to enhance enterprise data quality maturity and governance practices. Minimum Qualifications: • Bachelor's Degree in Computer Science, Information Systems, Data Management, Information Technology, Engineering, or a related discipline. • CDMP Data Quality (DQ) Certification. • Certification in the proposed Data Quality Governance Component/Platform. • Additional certifications in Data Governance, Data Management, or Analytics. Minimum Experience: • +5 years of experience in Data Quality Management, Data Governance, or Enterprise Data Management. • Hands-on experience implementing and supporting enterprise Data Quality programs and initiatives. • Proven experience working with Data Quality tools and governance platforms. • Experience delivering data quality assessments, profiling, validation, monitoring, and remediation activities. Job-Specific Skills: • Data Quality Management. • Data Profiling and Data Assessment. • Data Validation and Data Verification. • Data Quality Monitoring and Scorecards. • Data Cleansing and Remediation. • Data Quality Rules Development and Implementation. • Data Governance Frameworks and Standards. • Data Quality Metrics, KPIs, and Reporting. • Master Data and Reference Data Quality Management. • Data Quality Tool Configuration, Development, and Administration. • Metadata Management and Data Lineage Awareness. • Root Cause Analysis and Issue Resolution. • SQL and Data Analysis. • Technical implementation of Data Quality controls and governance processes. • Strong analytical, problem-solving, and stakeholder management skills. • Documentation, reporting, and communication skills. Show more Show less

Bachelor's Degree in Computer Science, Information Systems, Data Management, Information Technology, Engineering, or a related discipline. CDMP Data Quality (DQ) Certification. Certification in the proposed Data Quality Governance Component/Platform. Additional certifications in Data Governance, Data Management, or Analytics.

Design, implement, and maintain enterprise data quality controls, standards, and monitoring processes. Perform data profiling, validation, quality assessments, and root cause analysis to identify data quality issues. Develop and implement data quality rules, scorecards, KPIs, and monitoring dashboards. Support data cleansing, remediation, and issue resolution activities across business and technology domains. Conduct data quality assessments and provide recommendations for data improvement initiatives. Collaborate with business users, data owners, data stewards, and technical teams to resolve data quality issues. Support the implementation and operation of Data Governance and Data Quality frameworks. Configure and administer Data Quality tools and platforms to support enterprise data management requirements. Monitor data quality metrics and ensure compliance with established quality standards and policies. Produce reports, dashboards, and analyses related to data quality performance and compliance. Support metadata management, data lineage, and data governance initiatives where required. Contribute to continuous improvement initiatives to enhance enterprise data quality maturity and governance practices.