• Support Quality review of batch records, test results, and associated documentation to enable timely lot disposition. • Assist in tracking manufacturing, testing, and release activities for clinical batches to support timely and compliant product delivery to patients. • Coordinate with internal teams (Quality, Patient Operations, Program Management) and external partners, including CDMOs, to track batch status and communicate timelines and issues. • Support Quality oversight activities to ensure compliance with applicable GMP regulations across internal operations and external partners. • Assist with deviation, investigation, and CAPA tracking and follow-up. • Contribute to tracking and reporting of key Quality and operational metrics. • Assist in preparation of materials for Quality Management Reviews and internal reporting. • Participate in inspection readiness activities and support audit preparation efforts. • Provide general Quality support to ongoing manufacturing and development activities as needed. • Provide support to ensure compliance of the Quality Management System and associated documentation. • Support Internal Audit processes • Travel required: 20%-40%

Role Description The Collections Quality Assurance & Vendor Management Analyst is responsible for ensuring the quality, compliance, and effectiveness of collections operations, with a primary focus on quality assurance (QA), assisting in vendor performance oversight, and process optimization. This role supports both internal collections teams and external vendors by monitoring execution, identifying risks or gaps, and driving continuous improvement. The role also provides analytical, operational, and project support as assigned by the Collections Supervisor. Key Responsibilities - Quality Assurance & Vendor Management Specialist - Monitor collection activities and customer interactions for quality, accuracy, and compliance - Conduct regular audits of internal teams and external vendors - Ensure adherence to regulatory requirements, company policies, and communication standards - Identify quality gaps, root causes, and corrective actions - Track, document, and report QA findings and trends to Collections leadership - Vendor Management & Performance Monitoring - Provide day-to-day operational oversight of collections vendors - Monitor vendor KPIs including productivity, contact rates, recovery performance, and quality scores - Ensure vendors execute assigned strategies, campaigns, and treatment plans accurately - Identify performance issues, escalate risks, and support vendor improvement actions - Assist with vendor staffing alignment, capacity planning, and operational coordination - Performance Analytics & Reporting - Develop and maintain daily, weekly, and monthly performance and quality reports - Track KPIs such as recovery rates, call volumes, right-party contact rates, promise-to-pay outcomes, and roll rates - Analyze vendor and internal performance trends - Provide actionable insights and recommendations to the Collections Supervisor - Process SME, Documentation & UAT Support - Act as a Subject Matter Expert (SME) for collections QA and vendor processes - Document workflows, procedures, and control requirements - Support User Acceptance Testing (UAT) for system, dialer, vendor, or process changes - Validate end-to-end workflows, document defects, and support issue resolution - Ensure consistent execution of processes across internal teams and vendors - Ad Hoc & Supervisor-Assigned Support - Support special projects, reporting requests, and initiatives assigned by the Collections Supervisor - Assist with process reviews, audits, and operational deep dives as needed - Provide analytical or operational support to evolving business priorities Qualifications - High school diploma, GED or equivalent. - 2+ years of experience in collections operations, quality assurance, analytics, or vendor oversight - Strong analytical and problem-solving skills - Proficiency in Excel and Microsoft Office tools - Experience with performance reporting and KPI analysis Preferred Qualifications - Experience working with collections or contact center vendors - Experience conducting QA audits in collections or customer service environments - Utility or energy industry experience - Working knowledge of SAP CCS/FICA, NICE, Salesforce, or similar platforms - Experience working in regulated environments Key Skills & Competencies - Quality assurance and audit mindset - Vendor performance management and oversight - Data analysis and reporting - Automation and process improvement orientation - Strong documentation and attention to detail - Risk identification and compliance awareness - Ability to manage multiple priorities in a fast-paced, remote environment - Strong communication and stakeholder collaboration skills

Role Description The QA Engineer & Tester supports GSA’s internal HR systems by executing test activities across the software development lifecycle. This role performs hands-on testing, documents results, identifies defects, and collaborates closely with developers and analysts to ensure high-quality HR system releases. Essential Duties & Responsibilities - Execute test cases and document results for HR system features and enhancements. - Identify, report, and track software defects through resolution. - Participate in test planning and assist in developing test cases and scenarios. - Perform functional, regression, integration, and user acceptance testing (UAT). - Create and maintain test data and support test environment setup. - Collaborate with developers to understand requirements, features, and expected behavior. - Document test procedures and maintain test artifacts. - Assist in developing and maintaining test automation scripts under guidance. Qualifications - US Citizen - BA/BS in Computer Science or related field + 2 to 4 years of QA experience. - Experience participating in the full SDLC and STLC, from requirements review through release. - Hands-on experience with functional, regression, integration, and UAT testing. Benefits - A company that lives its core values, prioritizing integrity, accountability, and excellence. - Paid Time Off (Personal, Vacation, Sick Leave). - Comprehensive Health Coverage (Medical, Vision, Dental). - Flexible Spending Account (FSA) Options for healthcare and dependent care. - Short Term & Long Term Disability Coverage. - Life Insurance & Accidental Death & Dismemberment Protection. - Employee Wellness Resources & Assistance Programs. - Financial Counseling Programs to support long-term planning. - Commuter Benefits for work-life ease. - 401(k) with 100% immediate employer matching.

Role Description AI Quality Coordinator is an integral part of our Data Services team. You will play a key role in ensuring top-notch quality for our AI projects. As part of the Train AI Data Services Team, you will help to support our management with our quality strategy. This includes QA workflows, data analysis, and tracking of quality KPIs. Your data service expertise in AI Data Quality will be essential to our success. Key Responsibilities - Help to define and support suitable quality frameworks, metrics, and strategies of Data Services projects. - Perform detailed task analysis, defining key quality drivers and necessary skills, develop efficient and onboarding methodologies for our Data Services Vendors. - Provide feedback to team/stakeholders. - Support client quality escalations and collaborate with the team for root cause analysis. - Support quality improvement plans for underperforming locales and vendors. - Support data stakeholders and provide timely answers to their queries. - Evaluate vendors and offer feedback with training on error trends. - Support and help drive a robust auditor program with training. - Collaborate with Solutions Architects to develop skill evaluation solutions and visualize quality metrics. - Stay updated on AI industry trends and contribute to new opportunities. Qualifications - Previous experience rolling out quality data management and analysis is needed. - Educational background in Statistics, Psychology, Sociology, Cognitive Science, Data Analytics, or matching workforce experience in AI Quality Data is preferred. - Experience with Data Collection Quality, Annotation and/or evaluation tasks. - Power BI skillset is preferred. - Experience dealing with vendor management is preferred. - Very good communication skills. - Ability to collaborate, remotely, to help solve day to day tasks. - Ability to manipulate data, with skills in Excel/Google Spreadsheet, required; Advanced skills in Excel/Google Spreadsheet preferred. - Fluent English – you will be working as a part of an international team and English is our work language. Knowledge of other languages is not needed but welcomed. Benefits - If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood, then you’ll love life at RWS. - Our purpose is to unlock global understanding, recognizing the value of every language and culture. - We celebrate difference, are inclusive, and believe that diversity makes us strong. - We want every employee to grow as an individual and excel in their career. Company Description The RWS Enterprise Services enables customers to reach their markets in any language and scale. We provide a wealth of services including localization, data services, testing, video, consulting and much more. Our global team of localization and technical experts work closely with customers building lasting partnerships that help make their products and services reach and resonate with their end users. It is a fast-paced and exciting business with many opportunities to work on state-of-the-art products and services for some of the world’s most innovative businesses.