Director Quality Engineering

AI, Automation & Intelligent Decisioning

Required Qualifications

• 7+ years of experience in software development, with a focus on Quality Engineering, transformation, test automation, engineering excellence, or a comparable technology leadership role.
• Experience applying AI-enabled testing, automation, analytics, and emerging technologies to improve quality and productivity and increase autonomy in the SDLC.
• Experience driving AI SDLC adoption, change enablement, and measurable productivity improvements across engineering or QE teams.
• Experience with generative AI-assisted testing, intelligent automation, quality analytics, defect prediction, or test optimization.
• Experience defining, implementing, and scaling QE standards, best practices, and governance models across teams.
• Demonstrated influencing, facilitation, and stakeholder-management skills, with the ability to build consensus among senior leaders, delivery teams, vendors, and business partners.
• Experience with third-party QE resource governance, vendor engagement, and capacity planning.
• Clear communication, presentation, documentation, coaching, and mentoring skills, including the ability to translate technical concepts into practical guidance for varied audiences.
• Experience leading complex, cross-functional initiatives, supporting adoption of new practices, and managing change across multiple teams or portfolios.
• Experience creating test strategies, automation roadmaps, reusable test assets, business use-case coverage, and risk-based testing approaches.

Preferred Qualifications

• Strategic QE leadership and community enablement.
• Influencing, stakeholder management, and change leadership.
• Coaching, mentoring, facilitation, and knowledge sharing.
• Quality Engineering standards, best practices, and governance.
• Risk-based testing, regression optimization, and quality metrics.
• AI-enabled testing, machine learning model testing, and emerging quality practices.
• AI SDLC adoption, responsible AI governance, and QE maturity models.
• QE innovation, AI use-case scaling, and adoption metrics.
• CI/CD, DevSecOps, Agile delivery, and shift-left quality practices.

When you join our team

About Manulife and John Hancock

Manulife is an Equal Opportunity Employer

Salary range is expected to be between

• Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
• Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
• We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement .
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