Senior Manager, IT Quality Control

Innovate and shape what comes next.
At AIA, your expertise, perspective and ideas can help us become a faster, simpler and more connected organisation while contributing to our Purpose of helping millions of people live Healthier, Longer, Better Lives. Across our diverse markets, you will take on real-world challenges, collaborate with talented colleagues and turn technology, data and bold ideas into simpler experiences, smarter solutions and positive outcomes for our customers and communities.
Join us to create what comes next, grow through new experiences and extend your impact across Asia.
About the Role
Report to: Chief Customer & Information Technology Officer
Location: Ho Chi Minh
Function: Customer & Information Technology | Department: IT Quality Control
Type: ManagerialTHE OPPORTUNITY:
We are looking for Senior Manager, IT Quality Control who is accountable for
Establishing and leading the end-to-end quality engineering and testing capability across the IT function.
Ensuring that applications, digital platforms, data solutions, integrations, infrastructure changes, and technology services are delivered with appropriate levels of quality, reliability, security, performance, and customer experience.
Modernizing traditional quality control practices into a preventive, engineering-led model. This includes risk-based testing, shift-left quality, automation, continuous testing within delivery pipelines, production quality insights, and responsible use of AI-assisted testing.
Partnering with business, product, engineering, architecture, cybersecurity, operations, project delivery, risk, compliance, and external service providers to ensure clear ownership of quality throughout the technology lifecycle.
ROLES AND RESPONSIBILITIES:
1. Quality Strategy, Governance & Assurance (20%)
Define and execute a multi-year quality engineering and testing strategy aligned with business priorities, technology strategy, risk appetite, and customer outcomes.
Establish and maintain policies, standards, methods, quality gates, entry and exit criteria, role accountabilities, evidence requirements, and exception governance.
Define a coherent quality measurement framework covering leading and lagging indicators across delivery and production.
Provide independent, evidence-based release quality assessments and escalate material quality risks before deployment.
Periodically assess maturity, identify control or capability gaps, and sponsor measurable improvement plans.
2. Quality Engineering & Test Delivery (25%)
Oversee test strategy, estimation, planning, design, execution, evidence, reporting, and closure for technology initiatives.
Apply risk-based testing to focus effort on customer-critical journeys, material business processes, data integrity, security, resilience, and regulatory obligations.
Ensure appropriate coverage across functional, system integration, API, data, mobile, regression, performance, resilience, accessibility, compatibility, security, and operational readiness testing.
Ensure effective requirements traceability, environment readiness, test data management, defect triage, and acceptance evidence.
Improve early collaboration among product, business analysis, architecture, engineering, operations, cybersecurity, and quality specialists.
3. Automation, Continuous Testing & AI Enablement (20%)
Define and deliver the test automation roadmap across web, mobile, API, integration, and data platforms.
Embed automated quality controls and continuous testing into CI/CD pipelines, with risk-appropriate checks and transparent exception handling.
Establish maintainable automation architecture, coding standards, reusable assets, test data approaches, and tool lifecycle governance.
Use AI-assisted testing responsibly to improve test design, coverage analysis, defect insights, and productivity, subject to security, privacy, validation, and human oversight requirements.
Measure automation effectiveness based on risk coverage, maintainability, execution reliability, cycle-time improvement, and production outcomes rather than script volume alone.
4. Defect Prevention, Production Quality & Continuous Improvement (15%)
Establish consistent defect classification, prioritization, ageing, closure, and trend-analysis practices.
Lead quality-focused root cause analysis for major production defects and recurring failure patterns, with accountable preventive actions.
Connect delivery quality metrics with production incidents, service stability, customer impact, and operational outcomes.
Lead post-implementation quality reviews and convert lessons learned into standards, reusable controls, and capability improvements.
Champion prevention and shared quality ownership rather than reliance on final-stage defect detection.
5. Stakeholder, Vendor & Financial Management (10%)
Provide concise, transparent reporting on quality status, significant risks, release readiness, decisions required, and remediation progress.
Partner with business and technology leaders to agree risk-based quality outcomes, acceptance responsibilities, and escalation paths.
Define measurable quality obligations for technology vendors and hold providers accountable for delivery quality, evidence, remediation, and continuous improvement.
Manage the function within approved budgets and optimise the balance between internal capability, strategic partners, automation, and specialist services.
Represent Quality Engineering and Testing in relevant technology, delivery, risk, and release governance forums.
6. People Leadership & Capability Building (10%)
Lead, coach, and develop a high-performing team with clear objectives, role expectations, feedback, development plans, and succession coverage.
Build capability in automation, API and data testing, performance and resilience, security testing, cloud quality, test architecture, analytics, and AI-assisted testing.
Promote accountability, constructive challenge, continuous learning, inclusion, and collaboration across organizational boundaries.
Develop a flexible workforce model that can respond to portfolio demand while retaining critical institutional knowledge and control ownership.
REQUIREMENTS:
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
Postgraduate qualification is advantageous but not mandatory.
At least 10 years of relevant technology experience, including at least 5 years in a managerial or senior quality leadership role.
Demonstrated leadership of enterprise-scale quality assurance, quality engineering, or testing across complex technology portfolios.
Experience operating across Agile, iterative, Waterfall, DevOps, and vendor-delivered environments.
Experience designing or scaling automation, continuous testing, defect governance, release assurance, and quality measurement.
Experience working with digital channels, APIs, integrations, data platforms, cloud services, and core enterprise applications.
Experience managing internal teams and external service providers in a regulated or control-focused environment is preferred.
Software development lifecycle, product delivery, Agile practices, DevOps / DevSecOps, and release management.
Test strategy, risk-based testing, test design, test management, requirements traceability, and defect lifecycle management.
Test automation architecture and frameworks for web, mobile, API, integration, and data testing.
CI/CD quality controls, source control, environment management, test data management, and observability principles.
Performance, resilience, security, compatibility, accessibility, and operational readiness testing concepts.
Quality metrics, analytics, root cause analysis, process improvement, control design, and audit evidence.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
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