Associate Test Lead

A Lead Data Quality role involves overseeing the accuracy, consistency, and reliability of an organization's data assets. This includes developing and implementing data quality standards, managing data quality projects, and leading teams in maintaining data integrity. Key responsibilities include developing validation rules, monitoring data quality, and collaborating with stakeholders to resolve issues. Key Responsibilities: Developing and Implementing Data Quality Standards: Establishing and enforcing data quality rules and procedures to ensure data accuracy, consistency, and completeness. Managing Data Quality Projects: Leading and overseeing projects aimed at improving data quality, including defining project scope, timelines, and resource allocation. Leading Data Quality Teams: Providing guidance, mentorship, and performance management to data quality analysts and other team members. Monitoring Data Quality: Continuously monitoring data quality metrics, identifying data quality issues, and tracking their resolution. Data Validation and Cleansing: Developing and implementing data validation rules and solutions to identify and correct data errors and inconsistencies. Data Quality Reporting: Generating reports on data quality metrics and trends for stakeholders. Collaboration and Communication: Working with various stakeholders, including data owners, data users, and IT teams, to address data quality issues and ensure data quality standards are met. Continuous Improvement: Identifying opportunities to improve data quality processes, tools, and methodologies. Required Skills: Data Quality Expertise: Strong understanding of data quality principles, data governance, and data management processes. Analytical and Problem-Solving Skills: Ability to analyze complex data sets, identify patterns, and resolve data quality issues. Communication and Collaboration Skills: Ability to effectively communicate with stakeholders, collaborate with cross-functional teams, a