• Lead the development and implementation of comprehensive data quality strategies and standards.

• Conduct in-depth data quality assessments to identify, analyze, and resolve data quality issues.

• Design and oversee data cleansing, enrichment, and validation processes to ensure high data integrity.

• Develop and manage data quality metrics, dashboards, and reports to track and communicate performance.

• Collaborate with cross-functional teams to establish data quality requirements and ensure alignment with business needs.

• Implement data quality tools and technologies to automate and streamline data quality processes.

• Provide guidance and support to junior data quality team members and other stakeholders on best practices.

• Perform root cause analysis and lead efforts to address and resolve complex data quality issues.

• Ensure adherence to data governance policies and standards to maintain data accuracy and consistency.

• Stay abreast of industry trends and advancements in data quality management to drive continuous improvement.