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data-testing-and-validation

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<html><body>Quality Assurance Lead Workstream: Operational Excellence &amp; Offshore DeliveryRole Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit for purpose before being released to the business.Accountabilities * Coordinate nearshore resources to align validation activities. * Own the definition, tracking, and reporting of Data Quality KPIs. * Own the test strategy and technical issue tracking/resolution. * Ensure the testing team uses standardized test plans, scripts, and execution methods. * Identify opportunities to drive efficiencies through testing automation and tooling.Responsibilities * Define and own the data test strategy (Unit, Integration, Regression, UAT support). * Define data quality standards and acceptance criteria for data products. * Lead and coordinate QA resources to deliver against project timelines. * Design and implement automated data validation frameworks. * Ensure testing results are visible, traceable, and provide actionable insights. * Improve the development lifecycle by reducing rework and identifying data issues earlier.</body></html>

Quality Assurance Lead Workstream: Operational Excellence &amp; Offshore DeliveryRole Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit for purpose before being released to the business.Accountabilities * Coordinate nearshore resources to align validation activities. * Own the definition, tracking, and reporting of Data Quality KPIs. * Own the test strategy and technical issue tracking/resolution. * Ensure the testing team uses standardized test plans, scripts, and execution methods. * Identify opportunities to drive efficiencies through testing automation and tooling.Responsibilities * Define and own the data test strategy (Unit, Integration, Regression, UAT support). * Define data quality standards and acceptance criteria for data products. * Lead and coordinate QA resources to deliver against project timelines. * Design and implement automated data validation frameworks. * Ensure testing results are visible, traceable, and provide actionable insights. * Improve the development lifecycle by reducing rework and identifying data issues earlier.

Quality Assurance Lead

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