Data Quality Lead Analyst

The Data Quality Lead Analyst plays a crucial role in ensuring that the sourced and provisioned data meet all necessary data quality standards. As the successful candidate for this position, you will be tasked with facilitating communication between Product and Technology teams to implement data governance within a specific Data Domain. This will involve activities such as identifying lineage, critical data elements, authoritative data sources, data quality rules, and investigating any data-related issues. Your main objective will be to contribute to the continuous exploration and investigation of attribute-level data lineage, critical data element decomposition, application performance, and other measures to drive data governance planning and data remediation. Your responsibilities will include supporting activities to drive Data Quality measurement, generating Data Quality dashboards and reports, and implementing Data Quality strategies to effectively govern data and enhance Data Quality. Additionally, you will lead data improvement initiatives, processes, and tool creation in alignment with requirements. Collaborating with various areas of the organization, you will analyze data challenges and solutions, as well as manage data consumption demand and requirements. It will be essential for you to review quality analysis results and address data challenges through Citis corresponding Data/Issue management process. You will also be responsible for leading day-to-day activities to resolve data quality issues and optimize metrics reporting processes. Furthermore, you will report Data Quality issues through Citis corresponding Data/Issue management process and provide support for senior management's strategic vision. You must appropriately assess risks when making business decisions, ensuring compliance with rules, laws, and regulations, while upholding the firm's reputation and protecting Citigroup, its clients, and assets. This involves applying sound ethical judgment, escalating, managing, and reporting control issues transparently. To be considered for this role, you should have at least 13 years of experience in defining and implementing Data Quality programs, preferably within the Banking or Finance industry. Desired experience with Agile Software Development Lifecycle methodology and related tooling (e.g., JIRA, Scrum, Kanban, Confluence) is advantageous. You should possess expertise in presenting and using planning tools, along with diplomatic and analytical skills. Demonstrating the ability to manage complex issues with substantial impact and experience in systems analysis would be beneficial. A Bachelor's or University degree is required for this position, with a Master's degree being preferred. This job description offers a comprehensive overview of the tasks involved, and additional job-related duties may be assigned as necessary.,