• Design and execute risk-based audit and sampling programs across classification, reference data, and governed datasets. • Test outputs against authored rules, definitions, and quality thresholds, documenting pass/fail evidence. • Quantify quality across dimensions (accuracy, completeness, consistency, timeliness) and track trends over time. • Validate the effectiveness of human-in-the-loop review, identifying where validation is or is not catching errors. • Investigate root causes of quality issues and recommend rule, process, or training improvements. • Produce clear audit findings, scorecards, and assurance reporting for governance and leadership. • Maintain audit trails and evidence sufficient to support internal and external scrutiny. • Partner with Governance to refine rules and thresholds based on observed failure patterns.

• Support the maintenance and evolution of the ISMS (ISO 27001) and PCI-DSS, including controls, Statement of Applicability (SoA) and documentation • Ensure compliance and monitor cloud security posture, acting consultatively with Engineering and Infrastructure teams prior to formal audit cycles • Support M&A activities by conducting security assessments of acquired companies and designing plans to raise their security maturity • Create, review and maintain Information Security policies, standards and procedures • Support sustainment of compliance programs (ISO 27001/27002, SOC 2 Type II, PCI DSS and SOX) • Support the execution of internal audits and follow up on external audits, organizing evidence and responding to requests • Monitor security controls and technical/regulatory action plans (including requirements from Bacen (Brazilian Central Bank) and PCI) with the responsible areas • Organize and maintain audit evidence and operational effectiveness testing of controls • Support the preparation of reports, compliance indicators (KPIs) and risk status updates for committees and executive boards.

Role Description We’re looking for a Behavioral Health Auditor III to join us in a fully remote role. In this position, you’ll use your knowledge of payer policies, industry standards, and regulatory guidelines to review and audit Behavioral Health claims. Your work will directly impact the integrity of healthcare payments and help ensure accurate, compliant practices across the industry. This isn’t just auditing—it’s about bringing insight, spotting trends, and helping shape the future of Behavioral Health payment integrity. - Salary Range: $60,100 - $85,800* - Location: 100% Remote (U.S.-based) - Up to 10% annual travel (for team meetings and limited client onsite engagements.) Benefits For more information on benefits and what we offer please visit us at EXL Careers and Benefits . Company Description EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including: - Insurance - Healthcare - Banking and financial services - Media - Retail EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as: - Insurance - Banking and financial services - Healthcare - Retail - Logistics We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. Clients choose EXL as their transformation partner for many reasons: - Our geographic diversity makes talent all over the world instantly accessible. - Digital accelerators enable unmatched speed-to-value, letting you realize results fast. - It’s our people that truly set us apart, including the 1,500 data scientists we have dedicated to our generative AI practice. - More than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Role Description We are seeking a rigorous Data Quality Auditor to provide independent assurance over the accuracy and reliability of our governed data and AI-assisted classification outputs. In an operating model where AI does the work and people validate it, this role is the assurance layer — sampling, testing, and auditing outputs against defined rules and standards to confirm that quality holds at scale. This is a lean, high-trust role focused on audit and assurance rather than production. You will design and run audit programs, quantify quality against measurable thresholds, and give leadership an objective, evidence-based view of data trustworthiness. You partner closely with Data Operations, Governance, and Engineering while maintaining the independence required to assess quality objectively. Responsibilities - Design and execute risk-based audit and sampling programs across classification, reference data, and governed datasets. - Test outputs against authored rules, definitions, and quality thresholds, documenting pass/fail evidence. - Quantify quality across dimensions (accuracy, completeness, consistency, timeliness) and track trends over time. - Validate the effectiveness of human-in-the-loop review, identifying where validation is or is not catching errors. - Investigate root causes of quality issues and recommend rule, process, or training improvements. - Produce clear audit findings, scorecards, and assurance reporting for governance and leadership. - Maintain audit trails and evidence sufficient to support internal and external scrutiny. - Partner with Governance to refine rules and thresholds based on observed failure patterns. Success in this role will be measured by: - Assurance Coverage – Defined, risk-based audit coverage across critical datasets and classification outputs. - Quality Visibility – Reliable, repeatable measurement of quality against thresholds, with clear trends. - Issue Detection – Early identification of systemic quality issues before they reach downstream consumers. - Validation Effectiveness – Evidence that human validation is catching the errors it is meant to catch. - Actionability – Findings that lead to concrete rule, process, or training improvements. - Trust – Leadership confidence in an objective, evidence-based view of data quality. Qualifications - 3–6 years in data quality, audit, data governance, analytics, or a closely related field. - Experience designing sampling or audit methodologies and measuring quality objectively. - Strong analytical skills and fluency with spreadsheets, SQL, or data analysis tooling. - Ability to test outputs against rules and standards and document evidence clearly. - Sound judgment and the independence to report findings objectively. - Familiarity with data quality dimensions and assurance practices. - Exposure to AI/ML-assisted classification and human-in-the-loop workflows a plus. - DAMA / DMBOK familiarity a plus. - Excellent written and verbal communication skills. Company Description At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status. We are also committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at careers@mediaradar.com.