In my previous role, we discovered a discrepancy in our customer database where duplicate entries were causing incorrect billing. I led a cross-functional team to analyze the root cause, which was traced back to a data integration error. We implemented a deduplication process and enhanced our data validation rules, resulting in a 20% reduction in billing errors and improved customer satisfaction.

I prioritize tasks based on the impact on business operations and customer experience. For instance, if a data issue affects critical business processes, it takes precedence over less critical tasks. I also use a risk-based approach, focusing on issues with the highest potential impact. Regular communication with stakeholders helps ensure alignment on priorities and timely resolution of high-impact issues.

I implement continuous monitoring and automated validation checks to catch issues early. Regular audits and reviews are conducted to ensure compliance with data quality standards. Additionally, I foster a culture of data quality awareness by providing training and resources to the team. Collaboration with IT and business units ensures that data quality is embedded in all processes and systems.

When dealing with third-party data, I establish clear data quality expectations and SLAs with the providers. I implement rigorous validation processes to assess the quality of incoming data. If issues arise, I work closely with the third-party to resolve them, escalating as necessary. Continuous monitoring and feedback loops ensure that data quality from third-party sources remains high.

I have extensive experience with data governance frameworks such as DAMA or ISO 8000. I apply these frameworks by defining data quality policies, standards, and procedures. I ensure that data ownership and stewardship are clearly defined, and that there is accountability for data quality across the organization. Regular governance meetings and audits help maintain adherence to these frameworks and ensure data quality is consistently managed.