Senior Manager, Quality Engineering

CFA Institute is the global leader in investment excellence and ethics, and they are seeking a Senior Manager, Quality Engineering to lead the transformation of quality engineering in an AI-driven world. This role involves setting the vision for quality across multiple platform portfolios, building exceptional engineering talent, and influencing enterprise-wide engineering practices.

Responsibilities:

• Own end-to-end quality across multiple platform portfolios — automation, performance, accessibility, and AI quality testing
• Lead a team of QE managers, senior engineers, tech leads, and managed-service contractors; develop the next layer of QE leadership
• Establish practices, standards, and frameworks that scale beyond individual portfolios; drive consistency in test architecture, automation patterns, and AI quality governance
• Implement and enforce QE process standards: test planning, defect triage and SLAs, entry and exit criteria, end-to-end testing, release readiness, and reporting
• Own quality metrics across portfolios — defect escape rate, automation coverage, test execution efficiency, AI quality scores, release readiness — and report regularly to leadership
• Drive AI adoption across test design, script generation, defect triage, and exploratory testing; build a center of expertise on AI-led QE
• Champion the Playwright/TypeScript automation framework, intelligent test execution tooling, and the AI quality stack
• Partner with the Director, Quality Engineering on hiring, leveling, capability planning, and career development frameworks
• Identify and develop high-potential engineers into tech leads and managers; coach managers on people leadership readiness

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• 12+ years of experience in quality engineering, with 6+ years in people leadership, including experience managing managers
• Proven track record mentoring senior engineers, tech leads, and managers into expanded leadership roles
• Hands-on technical depth — ability to read a Playwright test, evaluate an automation framework, and review architectural decisions
• Experience leading multiple portfolios or programs simultaneously
• Direct experience with at least three of: intelligent test execution, performance engineering, accessibility testing, API mocking and contract testing, CI/CD integration
• Working knowledge of AI in QE — LLM-assisted test generation, AI model quality evaluation, prompt engineering, and AI quality scoring
• Demonstrated experience managing a mix of full-time engineers, managers, and managed-service contractors
• Hiring and team-building experience across diverse and globally distributed talent markets
• Comfort with ambiguity and a builder mindset