- Manage end-to-end Agile testing projects related to data management, data quality, and data migration within banking systems. - Collaborate with product owners, business analysts, developers, and QA teams to define test strategies, plans, and acceptance criteria. - Coordinate the execution of test cases, monitor testing progress, and track defects to resolution. - Facilitate Agile ceremonies such as daily stand-ups, sprint planning, retrospectives, and demos with a focus on testing activities. - Identify potential risks and blockers related to testing and work with teams to mitigate them promptly. - Ensure compliance with banking regulatory standards and data governance policies throughout testing processes. - Provide regular reports and updates to senior management and stakeholders regarding testing status and quality metrics.

• Develop test plans and test cases based on business requirements and technical specifications. • Execute manual and automated tests to identify defects and ensure the software meets quality standards. • Report bugs and issues to the development team, providing detailed information and steps to reproduce the problem. • Conduct regression testing to ensure new code changes do not adversely affect existing functionalities. • Document test cases, test results, and defects to support development and maintenance. • Work closely with developers, QA analysts, and other team members to ensure seamless integration and testing. • Conduct performance testing to ensure the software meets performance criteria and benchmarks. • Stay updated with the latest testing tools and techniques and implement improvements in the testing process.

• Create and implement automated test scripts using tools such as Cypress, Playwright, Jira • Analyze requirements and create detailed test cases and scenarios for automated testing • Execute automated test scripts and analyze results to identify defects and issues • Perform manual testing and regression testing • Report bugs and issues to the development team • Work closely with developers and other team members • Stay updated with the latest automation testing tools and techniques • Maintain and update documentation of test cases, test plans, and test results • Conduct performance testing to ensure the software meets performance criteria and benchmarks

• Provide a functional manager role for all QA reporting data staff. • Conduct QA reviews and test work items before user acceptance testing and final approvals by key stakeholders. • Prioritize work items and requests from key stakeholders. • Create and update Azure DevOps board tickets to improve reporting automation for manual steps. • Identify any data quality/process improvement points, and create new or update SQL queries and stored procedures. • Develop, implement and oversee the use of data analysis and quality assurance tools. • Establish data quality standards (units, variable names) and develop policies and procedures for higher quality. • Analyze QA data to identify root causes of quality issues, track metrics, and predict future trends. • Design and implement data testing procedures, validating datasets and identifying inconsistencies. • Build and maintain reporting master document for each health plan and report by lines of business. • Document will need to be maintained as additional instruction or clarification is received. • Review all currently implemented compliance reporting technical specification documents and report template instructions to ensure current reporting logic and data definitions align with those requirements. • Document will need to be maintained once created as new reports as requested by the health plans. • Review all compliance report output to make sure the data aligns with the templates, all required information is complete, and data is in the correct format for each field. • Check all compliance reports to confirm all ran on time and without error. • Run any compliance reports manually ad-hoc as needed. • Creates SOPs and documentation for running each report manually. • Complete any manual steps to correct or make reports accurate. • Identifies and corrects corrupt or inaccurate records. • Drive process improvement of quality across all deliverables. • Running data queries to identify coding issues and data exceptions, as well as cleaning data. • Revise our procedures and documentation that govern our internal and external policies and processes. • Investigate and resolve questions and issues raised by audit activities. • Other duties as needed.