Key Responsibilities:
1. Data Quality Strategy & Leadership:
Define and execute a comprehensive data quality testing strategy for data products, data services, and integrations.
Establish best practices for data validation, reconciliation, and anomaly detection.
Develop data quality KPIs and metrics.
2. Data Governance:
Implement and enforce data governance policies and procedures.
Ensure compliance with data regulations and standards.
3. Collaboration:
Work closely with cross-functional teams to understand data needs and provide data quality solutions.
4. Continuous Improvement:
Identify and implement continuous improvement initiatives to enhance data quality.
5. Reporting:
Generate and present data quality reports to stakeholders.
6. Tooling and Automation:
Leverage data quality tools and automation to streamline data quality processes.
7. Training and Mentorship:
Provide training and mentorship to team members on data quality best practices.
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