• Engages in the continued development, maintenance, and enforcement of the WCG Quality Management System and quality department standards. • Supports efforts regarding the maintenance of WCG quality goals, objectives, and process improvements. • Educates WCG staff on WCG quality department standards and best practices. • Engages with WCG staff to author and revise internal technology standards (i.e. IT and/or Software Development Policies, SOPs, et al). • Supports the development, validation, implementation, and change management of systems to ensure same is performed in line with regulatory agency regulations and guidance, including but not limited to, GxP, 21 CFR Part 11/Annex 11, GDPR, and HIPAA. • Supports the investigation of Quality Events/Corrective Actions Preventative Actions (CAPA), deviations, and notes to file (NTF). Executes assigned compliance tasks in adherence of defined timelines. • Conducts internal audits to ensure internal standards and staff performance are compliant with applicable WCG process, regulatory agency regulation, and guidance. • Conducts external vendor qualification audits to ensure that vendor standards and performance are compliant with applicable WCG process, regulatory agency regulation, and guidance. • Supports external audits including audit preparation activities, review of audit report, and executing finding resolution. • Maintains current knowledge with respect to quality legislation and regulatory compliance best practice. • Other duties as assigned by supervisor. These may, on occasion, be unrelated to the position described here.

• Review applications before release to ensure they meet defined requirements and identify potential compliance issues. • Validate application changes and document findings clearly. • Provide actionable feedback and communicate issues effectively to engineering and operations teams. • Verify that identified issues have been addressed before release. • Maintain review documentation and contribute to improving internal review processes. • Help ensure a consistent, high-quality release process across products.

• Develop and execute detailed test scenarios, test scripts, and test cases • Validate functional and non-functional requirements • Perform testing of healthcare information systems and associated business processes • Conduct data validation and workflow verification • Test OpenID Connect (OIDC) / Single Sign-On (SSO) configurations for desktop and mobile applications • Perform integration and interface testing across multiple systems • Collaborate with development, interface, and QA teams to coordinate testing activities • Identify, document, track, and retest defects through resolution • Support end-to-end and user acceptance testing activities

• The Sr. IT QA Data Quality Analyst plays an important role in the organization by leading quality assurance activities for Enterprise Data Warehouse (EDW), Data Services, and related data delivery initiatives. • This role is responsible for defining and maintaining Data QA strategy, repeatable test approaches, EDW quality governance practices, and release readiness standards to ensure data delivered to stakeholders is complete, accurate, timely, traceable, and fit for business use. • The role documents, executes, and oversees data quality checks across data assets throughout EDW delivery layers, including validation of data repositories against external source systems, source-to-target mappings, transformation rules, Change Data Capture (CDC), dimensional models, data masking, downstream reporting impacts, and data quality metrics. • The Sr. IT QA Data Quality Analyst partners cross-functionally with Data Engineering, DataOps, BI Engineering, Product, Business Analysts, UAT teams, vendors, end users, and Project Management to bring a QA perspective to planning, execution, defect resolution, release readiness, and continuous improvement. • This position also mentors QA Analysts, reviews test coverage and evidence, establishes reusable QA standards, identifies opportunities to automate repeatable data comparisons and regression checks, and provides evidence-based risk assessments and go/no-go recommendations for data releases.