Compliance QA Program Manager

Compliance Program ManagerOperating as an independent function, the Compliance Quality Oversight team evaluates and assures the health and effectiveness of AML/CFT and Sanctions Program execution across Compliance Operations. The team is seeking two Program Managers with deep expertise in cryptocurrency and sanctions to focus on these two unique areas to ensure appropriate oversight, sampling, review and coverage of specific typologies, risks and themes, error-rate reporting, and corrective action frameworks are in place for cryptocurrency and sanctions risks and drive continuous improvement in these programs.You WillOwn the end-to-end quality assurance framework application to cryptocurrency and sanctions compliance decisionsPartner with key BSA/CFT and Sanctions Program Owners to provide comprehensive, action-oriented reporting on the implementation of their programsMonitor key metrics, raise key insights, risks and themes and drive forward accountability of these areas to improve metricsEnsure that quality standards keep pace with Block's expanding product roadmap and evolving regulatory requirementsWork alongside Quality Program Managers and leadership to maintain the quality assurance framework, uphold the standards of the quality program and represent the team to our partners.You Have8+ years in BSA/AML/KYC compliance and compliance operations at a financial services firm, preferably payments or fintechA track record of influencing enterprise-wide compliance programs and advising executive leadership on complex mattersStrong knowledge of compliance regulations, risks, and typologies, paired with an analytical, metrics-driven approach to building substantiated solutionsExcellent written and verbal communication skills and the organizational skills to manage competing priorities in an agile, fast-paced environmentThe ability to execute independently and at a high level while working effectively with team members at all levelsDemonstrated AI fluency: framing ambiguous compliance problems for AI, critically evaluating outputs for gaps, bias, or risk, and using AI to accelerate execution without compromising quality or compliance standardsRelevant certifications (CAMS, CFE, CFCS, CRCM), and exposure to AI/ML-driven compliance or risk-decisioning tools