VP, Data Management Non- Credit Risk

JOB SUMMARY / INTRODUCTION The role is responsible for managing delivery of Data Validation & Assessment activities under the direction of the SVP & Head of Data Validation & Assessment. The role provides VP-level oversight over independent validation and assessment of Critical Data Elements, regulatory reports and management reports, including validation planning, evidence review, reconciliation assessment, control evidence challenge, findings governance, stakeholder coordination and escalation. The role supports both the initial CDE-focused mandate and the end-state periodic validation mandate for in-scope regulatory and management reports through a BCBS 239 lens, while preserving clear independence from first-line report production, data processing, remediation execution and platform implementation. The role is a VP-level delivery leadership role within Data Validation & Assessment. It sits below the SVP & Head of Data Validation & Assessment and above AVP, Data Validation & Assessment. The role manages delivery of independent validation activities across the initial CDE-focused mandate and the end-state regulatory and management report validation mandate. The role operates as part of the second line and remains separate from first-line report preparation, data production, data-quality rule design, operational control execution, data engineering changes, platform implementation and business interpretation of report outcomes. KEY RESPONSIBILITIES DVA Delivery Planning and Coordination • Support the SVP & Head of Data Validation & Assessment in translating the approved DVA mandate into validation plans, validation schedules, operating routines, evidence requirements and governance reporting. • Coordinate delivery of assigned CDE validation and report validation activities, ensuring timely completion, quality review and escalation of key issues. • Prioritise validation work based on report criticality, CDE materiality, regulatory relevance, risk impact, overdue actions and emerging data or reporting themes. CDE Validation and Governance Challenge • Oversee independent validation of CDE identification, scoring, prioritisation, documentation, ownership assignment, governance evidence and metadata records. • Review whether CDEs have appropriately assigned Data Sponsors, Owners, Processors, Consumers, Stewards and Custodians, and whether ownership records are maintained in approved tools. • Challenge CDE relevance, business impact, quality parameterisation, control design evidence, lineage, documentation completeness and material changes affecting CDEs. Regulatory and Management Report Validation • Manage validation of assigned regulatory and management reports against agreed sources, systems of record, approved datamarts, reconciliations, report definitions, movements, adjustments, coverage, units, assumptions and approvals. • Assess whether reports are verified, reconciled and fit-for-purpose for their intended regulator, senior management or governance audience. • Review evidence supporting period-on-period variances, trend or outlier checks, movement explanations, control testing and report approval records. Methodology, Evidence Review and Quality Control • Apply DVA validation methodology, minimum evidence requirements, validation criteria, checklists and pass / conditional pass / fail outcome definitions consistently across assigned work. • Review validation working papers, evidence packs, reconciliation outputs, control evidence and draft conclusions prepared by AVP or team members. • Ensure validation files are complete, repeatable, auditable and suitable for internal audit, management assurance and regulatory review. Issues, Escalation and Governance MI • Identify, document and escalate material discrepancies, unexplained movements, CDE governance gaps, control weaknesses, recurring data issues and delayed remediation. • Ensure findings are supported by clear evidence, root-cause themes, owners, due dates, risk impact, remediation expectations and closure evidence. • Prepare governance MI on validation coverage, findings, thematic weaknesses, recurring root causes, CDE coverage, ownership adherence, data quality issues and remediation status. Team Guidance and Stakeholder Management • Guide AVP and supporting team members in completing validation activities, evidence review, working papers, follow-ups and draft conclusions. • Coordinate with report owners, data owners, Data Management, Risk, Finance, Technology, Operations, control functions and Internal Audit stake

DVA Delivery Planning and Coordination: Support the SVP & Head of Data Validation & Assessment in translating the approved DVA mandate into validation plans, validation schedules, operating routines, evidence requirements and governance reporting. Coordinate delivery of assigned CDE validation and report validation activities, ensuring timely completion, quality review and escalation of key issues. Prioritise validation work based on report criticality, CDE materiality, regulatory relevance, risk impact, overdue actions and emerging data or reporting themes. CDE Validation and Governance Challenge: Oversee independent validation of CDE identification, scoring, prioritisation, documentation, ownership assignment, governance evidence and metadata records. Review whether CDEs have appropriately assigned Data Sponsors, Owners, Processors, Consumers, Stewards and Custodians, and whether ownership records are maintained in approved tools. Challenge CDE relevance, business impact, quality parameterisation, control design evidence, lineage, documentation completeness and material changes affecting CDEs. Regulatory and Management Report Validation: Manage validation of assigned regulatory and management reports against agreed sources, systems of record, approved datamarts, reconciliations, report definitions, movements, adjustments, coverage, units, assumptions and approvals. Assess whether reports are verified, reconciled and fit-for-purpose for their intended regulator, senior management or governance audience. Review evidence supporting period-on-period variances, trend or outlier checks, movement explanations, control testing and report approval records. Methodology, Evidence Review and Quality Control: Apply DVA validation methodology, minimum evidence requirements, validation criteria, checklists and pass / conditional pass / fail outcome definitions consistently across assigned work. Review validation working papers, evidence packs, reconciliation outputs, control evidence and draft conclusions prepared by AVP or team members. Ensure validation files are complete, repeatable, auditable and suitable for internal audit, management assurance and regulatory review. Issues, Escalation and Governance MI: Identify, document and escalate material discrepancies, unexplained movements, CDE governance gaps, control weaknesses, recurring data issues and delayed remediation. Ensure findings are supported by clear evidence, root-cause themes, owners, due dates, risk impact, remediation expectations and closure evidence. Prepare governance MI on validation coverage, findings, thematic weaknesses, recurring root causes, CDE coverage, ownership adherence, data quality issues and remediation status. Team Guidance and Stakeholder Management: Guide AVP and supporting team members in completing validation activities, evidence review, working papers, follow-ups and draft conclusions. Coordinate with report owners, data owners, Data Management, Risk, Finance, Technology, Operations, control functions and Internal Audit stakeholders.