Quality Assurance, Controls Assessment & Testing Senior Vice President

The Independent Risk Management (IRM) Regulatory Risk Independent Quality Assurance (IQA) Team is responsible for providing objective and independent assessments of the design, implementation, and effectiveness of controls supporting the organization's Data Risk Management Framework, Data Governance Program, and related regulatory commitments. The team evaluates whether data risk management activities, remediation initiatives, and transformation programs are executed in accordance with established policies, standards, regulatory requirements, and risk management expectations. Individuals within Quality Assurance, Monitoring & Testing are responsible for independently assessing outcomes from data-related processes, controls, and Book of Work (BoW) initiatives to determine adherence to applicable requirements and the effectiveness of risk mitigation efforts. This includes evaluating the quality, sustainability, and completeness of data governance deliverables, issue remediation activities, and risk reduction programs through structured testing, ongoing monitoring, and control validation. This role requires a strong understanding of Enterprise Data Governance, Data Risk Management, Risk and Control Frameworks, Data Risk Taxonomy, and Regulatory Expectations related to Data Management and Governance. The successful candidate will possess deep subject matter expertise in Data Governance, Data Quality, Data Lineage, Data Policy Development, Control Design and Effectiveness Testing, Issue Management, and Regulatory Remediation Programs, along with the ability to independently evaluate complex data transformation and risk reduction initiatives. Responsibilities :  Demonstrated experience and strong working knowledge of Data Operating Model practices, Data Governance, Data Management, Data Risk Management, and Data Compliance frameworks within large, complex financial services organizations. Strong understanding of the Enterprise Data Governance Strategy, Data Risk and Control Framework, Data Risk Taxonomy, Data Policies, Standards, and related regulatory expectations. Deep subject matter expertise in Data Governance, Data Policy Development, Data Ownership, Data Stewardship, and Data Accountability frameworks. Experience developing, challenging, and assessing Data Quality Controls, including the design, implementation, and validation of data quality rules, thresholds, monitoring, and reporting capabilities that improve the accuracy, completeness, timeliness, and integrity of critical data. Conduct independent reviews and quality assurance assessments of Data Book of Work (BoW) initiatives, remediation programs, and data risk management activities to evaluate adherence to governance requirements and achievement of intended risk reduction outcomes. Review and challenge management's documentation, evidence, and control implementation to assess the effectiveness, sustainability, and completeness of data governance and data risk remediation efforts. Qualifications :  12+ years of experience within Banking, Financial Services, Risk Management, Data Governance, or Regulatory Compliance functions, including 6-10 years of management and leadership experience. Exceptional communication and stakeholder management skills, with the ability to effectively influence, challenge, and build consensus across senior management, business, risk, technology, and governance partners. Strong organizational, analytical, and problem-solving skills, with the ability to manage multiple reviews and priorities in a dynamic, regulatory-driven environment. Strong Knowledge of: Data Lineage , including end-to-end traceability from System of Record through data transformations, redistribution layers, reporting platforms, and downstream consumption points. Data Flow Architecture , including understanding of Systems of Record, Authorized Redistributors, Licensed Applications, and data movement across the enterprise. Data Transformation Logic and Calculations ,