Responsibilities:
- Develop and implement data quality standards, policies, and procedures.
- Define data quality metrics and establish benchmarks to measure and monitor data quality performance.
- Conduct data quality assessments and audits to identify inconsistencies, inaccuracies, and gaps in data.
- Collaborate with business stakeholders to understand data requirements and priorities.
- Work with IT teams to ensure that data quality controls are integrated into data acquisition, processing, and storage systems.
- Implement data quality tools and technologies to automate data profiling, cleansing, and validation processes.
- Design and execute data quality improvement initiatives, including data cleansing, enrichment, and remediation efforts.
- Provide training and support to end users on data quality best practices and tools.
- Monitor data quality trends and proactively address emerging issues.
- Serve as a subject matter expert on data quality matters and contribute to data governance initiatives.