The Director Quality Engineering advances enterprise quality engineering maturity by setting standards, leading a Quality Engineering Center of Excellence, embedding quality earlier in the software development life cycle (SDLC), and accelerating the responsible adoption of AI-enabled engineering practices.

This leader will guide workforce transformation toward automation engineering, AI-enabled quality practices, and shared engineering ownership of quality outcomes.
**Position Responsibilities:**
Define the vision, strategy, standards, and operating model for consistent Quality Engineering (QE) practices across teams.

Establish and lead the Quality Engineering Center of Excellence, including governance forums, standards management, communities of practice, reusable assets, and capability development programs.

Define QE maturity models, target-state capabilities, benchmarks, and multi-year transformation roadmaps across engineering teams.

Modernize testing practices to improve quality outcomes, reduce manual effort, and accelerate delivery.

Develop and execute a workforce transformation strategy that evolves traditional testing roles toward automation engineering, AI-enabled quality practices, and shared engineering ownership of quality.

Expand AI-assisted engineering capabilities across test generation and maintenance, defect analysis, code-quality validation, release-risk assessment, and autonomous testing.

Define quality frameworks for AI-enabled business applications, including model and prompt testing, bias validation, explainability, and ongoing production monitoring.

Evaluate industry trends, emerging technologies, and AI-enabled testing capabilities to improve speed, coverage, reliability, scalability, and productivity.

Define enterprise QE tooling standards, rationalization strategies, and adoption roadmaps to reduce fragmentation, increase reusability, and maximize the value of QE investments.

Scale QE innovations such as generative AI-assisted testing, self-healing automation, intelligent regression, defect triage, synthetic data, and predictive quality analytics.

Influence leaders, delivery partners, vendors, and cross-functional stakeholders to adopt QE standards, prioritize quality improvements, and align on implementation approaches.

Provide strategic guidance and technical oversight to platform engineering teams, supporting scalable QE practices, modern testing architectures, and enterprise-aligned standards.

Build alignment through forums, communities of practice, knowledge-sharing activities, and reusable assets that support consistent adoption of modern testing capabilities.

Define test strategies, automation roadmaps, and quality measurement practices that improve coverage, reduce regression cycle time, and strengthen release confidence.

Establish enterprise QE dashboards and scorecards that measure maturity, automation adoption, release readiness, defect trends, testing efficiency, and value realization, while maintaining clear accountability with platform engineering leaders.

Embed QE practices earlier in the SDLC, including discovery, intake, solution shaping, and delivery planning.

Champion QE integration into TDD targets, ensuring goals are practical, measurable, and focused on outcomes.

Use relevant measures such as change failure rate, escaped production defects, release confidence, test automation reusability, AI testing adoption, QE maturity, test execution efficiency, and automation return on investment.

Promote a culture of engineering excellence, continuous learning, knowledge sharing, and accountability for quality outcomes.
**AI, Automation & Intelligent Decisioning**
Define the AI-led testing strategy, adoption roadmap, maturity model, and governance required to move QE from experimentation to scalable adoption.

Establish governance, controls,



and monitoring for AI capabilities in alignment with regulatory requirements, model risk management standards, privacy obligations, and responsible AI principles.

Set standards, guardrails, quality gates, reusable assets, and adoption measures for AI-assisted testing.

Scale successful AI-enabled QE use cases to improve coverage, reliability, cycle time, release confidence, and cost efficiency.

Maintain awareness of emerging AI technologies, industry trends, and vendor capabilities, translating relevant opportunities into practical business value.
**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 diverse 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, Dev

SecOps, Agile delivery, and shift-left quality practices.
**When you join our team:**
We'll empower you to learn and grow the career you want.

We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our global team, we'll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor.

Para obtener más información acerca de nosotros, visite
http://www.manulife.com .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad.

Nos esforzamos por atraer,



formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas.

Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.

Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo.

Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud.

Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes.

Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a
[email protected] .
**Ubicación principal**
Boston, Massachusetts
**Modalidades de Trabajo**
Híbrido
**Se prevé que el rango salarial esté entre**
$127,330.00 USD - $236,470.00 USD
Los empleados también tienen la oportunidad de participar en programas de incentivos y recibir una compensación vinculada al rendimiento empresarial e individual.

El salario real variará según las condiciones del mercado local, la geografía y factores relacionados con el puesto como conocimientos, habilidades, requerimientos, experiencia y educación/formación.

Si solicitas este puesto fuera de tu ubicación principal, por favor escríbenos a
[email protected]
para conocer el rango salarial correspondiente a tu ubicación.

Manulife/John Hancock ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar.

También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de ahorro 401(k) o de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera.

Nuestro generoso programa de días libres pagos en EE. UU. contempla hasta 11 días festivos, 3 días personales, 150 horas de vacaciones y 40 horas de licencia por enfermedad (o más cuando lo exija la ley) por año, y ofrecemos todos los tipos de licencias contempladas por la ley.

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 (https://careers.manulife.com/global/en/talentacquisitionprivacystatement) .
**Conozca sus derechos (https://www.dol.gov/agencies/ofccp/posters)**
**Permiso Familiar y Médico**
**Ley de Protección del Empleado contra el Examen Poligráfico (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf)**
**Derecho al Trabajo**
**Verificación Electrónica (E-**
**Verify**
**)**
**Transparencia Salarial (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)**
Company: John Hancock Life Insurance Company (U.S.A.)

📌 Director Quality Engineering (Toronto)
🏢 Manulife
📍 Toronto