The VP, Quality Engineering (QE) is accountable for transforming and institutionalizing Quality Engineering across the entire Technology organization. You will oversee the development, execution, and continuous evolution of enterprise-wide QE strategy, frameworks, governance, and operating models. The VP, QE ensures the function delivers measurable quality outcomes, operational excellence, and strategic impact for CFA Institute’s global technology portfolio. This role carries enterprise-level responsibility to rebuild the QE function (presently largely outsourced), establish scalable internal capabilities, and embed modern QE practices into all stages of the software development lifecycle. This position may be based in eligible jurisdictions in the United States and reports to the Head Application Development. It is eligible for flexible working arrangements including remote/hybrid What You’ll Do Architect and execute a multi-year transformation roadmap to rebuild the internal Quality Engineering capability, reducing reliance on outsourced testing and establishing a modern, scalable QE organization. Create and institutionalize an enterprise QE strategy, governance framework, and operating model aligned with organizational policy, business priorities, and technology strategy. Lead best-practice adoption in automation engineering, quality management, continuous testing, shift-left/shift-right practices, and quality observability. Work closely with Engineering, Product Management, Architecture, Security, and Operations to embed QE practices across all functional areas and delivery models (Agile, SAFe, hybrid). Shape policies, principles, and quality standards that impact enterprise-wide technology delivery, ensuring alignment with risk, compliance, and organizational objectives. Interpret organizational policies into tailored QE procedures, practices, and measurable performance criteria. Build a strong internal QE talent pipeline through workforce planning, role design, coaching, and professional development. Ensure effective planning and execution of QE operational plans across portfolios, programs, and large-scale initiatives. Oversee departmental budgeting, forecasting, and resource planning, ensuring alignment with portfolio demand and organizational priorities. Monitor organizational QE performance, including maturity, automation coverage, efficiency, and quality outcomes; report insights and risks to senior management. Establish and maintain enterprise dashboards, metrics, benchmarks, and KPIs (e.g., defect density, cycle time, coverage levels, operational impacts). Evaluate and select modern testing and automation technologies, platforms, and toolchains to support continuous integration and delivery ecosystems. Drive adoption of AI-assisted testing, model-based testing, and emerging technologies. Define technical standards and architectures for automation frameworks, test data management, and quality tooling. Manage strategic vendor relationships and optimize the mix of internal and external resources.