Risk Decisions UAT & Quality Transformation VP

What you'll do

• Own the testing and quality strategy for batch and real-time decisioning platforms to improve coverage and release confidence.
• Lead the testing operating model including standards, governance, quality gates, and audit-ready documentation.
• Modernize UAT and QA practices by implementing automation-first approaches integrated into CI/CD pipelines.
• Build scalable automation across service, API, and end-to-end business process layers.
• Drive the responsible adoption of GenAI-enabled testing practices for scenario design and defect analysis.
• Execute end-to-end test planning, coordination, and risk-based quality assessments across complex initiatives.
• Measure quality outcomes through actionable metrics such as defect trends, automation coverage, and cycle time.
• Manage and develop a high-performing, geographically distributed team through performance management and coaching.

What we're looking for

• Bachelor’s degree or equivalent experience.
• Minimum 5+ years of progressive experience in QA/UAT, testing leadership, quality engineering, and/or program delivery.
• 5+ years leading teams and/or testing functions, including coaching, performance management, and workforce planning across multiple locations.
• Proven ability to define and run testing governance, including standards, quality gates, metrics, reporting, and executive-level escalations.
• Demonstrated experience modernizing testing from manual UAT to automation and continuous testing with measurable improvements.
• Strong hands-on and leadership experience with test automation across API/service and end-to-end workflows.
• Experience delivering testing for complex, integrated platforms with multiple dependencies, environments, and data sources.
• Working knowledge of Agile/product delivery practices and proficiency with Jira and common reporting tools.
• Experience in Consumer Banking, Credit Card, Lending, and/or Risk Management decisioning (preferred).
• Experience implementing GenAI-enabled testing capabilities with strong governance and controls (preferred).
• Background in real-time decisioning and batch decisioning platforms (preferred).
• Familiarity with model-informed decisioning and testing involving predictive models and third-party data sources (preferred).
• Demonstrated success building enterprise-scale testing frameworks (preferred).
• Experience partnering with Controls, Audit, and Operational Risk teams to produce audit-ready test artifacts (preferred).
• Strong track record leading cross-functional transformation programs across Product, Engineering, Data, and Operations teams (preferred).