• Independently lead data governance initiatives, partnering with data engineers, data scientists, and business units to tackle data quality and governance challenges. • Develop and maintain data dictionaries, data lineage, and data profiles. • Champion data quality by conducting in-depth data analysis to investigate and diagnose the root causes of complex data quality issues. • Mentor data quality analysts and serve as a subject matter expert, advocating for data quality and governance across the organization. • Design, implement, and automate a robust data control framework, using AI tools and advanced techniques to create scalable solutions. • Lead the entire process from creating Jira tickets for data quality issues to collaborating with cross-functional teams, ensuring issues are resolved with proper root cause analysis (RCA) and remediation plans. • Identify and implement process improvements, encompassing workflows and tools. • Take responsibility for data source identification, controls monitoring, and the overall data quality framework and management.