Director​/Senior Manager, Quality Engineering - Guidewire & AI; General Insurance Core Platforms

Work Location

Toronto, Ontario, Canada

37.5

Technology Solutions

$149,500 - $183,500 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

We are seeking an experienced Quality Engineering leader to define and drive the quality strategy for our Property & Casualty Insurance technology portfolio. This role will lead the transformation from traditional QA practices to a modern, automation-first, AI-enabled Quality Engineering model across Guidewire Cloud platforms and associated digital, integration, and data ecosystems.

The successful candidate will be responsible for establishing enterprise quality standards, governance, automation frameworks, test data strategies, and release quality controls across Policy Administration, Billing, Claims, Digital, Data, and Integration platforms. This leader will partner closely with business leaders, architecture teams, product technology leaders, Dev Ops teams, and delivery partners to ensure continuous improvement in quality, speed, and reliability.

The role requires hands‑on technical expertise, strong leadership capabilities, and deep insurance domain knowledge to drive quality outcomes across multiple programs, teams, and vendors.

• Define and execute the Quality Engineering (QE) strategy for Property & Casualty Insurance platforms.
• Establish quality standards, testing methodologies, governance processes, and release readiness criteria.
• Define quality gates, defect prevention practices, release health indicators, and go/no-go decision frameworks.
• Develop and communicate quality metrics, dashboards, and executive reporting that provide visibility into product and release health.

• Lead the design, implementation, and evolution of enterprise automation frameworks supporting UI, API, integration, regression, and data testing.
• Establish continuous testing practices integrated into CI/CD pipelines.
• Drive adoption of risk-based testing approaches to optimize coverage and accelerate delivery.
• Promote reusable automation assets and engineering best practices across teams.

• Champion the adoption of AI and Generative AI capabilities within the testing lifecycle.
• Implement AI-assisted test generation, requirement-to-test traceability, defect analysis, coverage optimization, and self‑healing automation.
• Evaluate emerging quality engineering technologies and integrate innovative solutions into the QE operating model.

• Provide overall test delivery leadership across large‑scale transformation programs and initiatives.
• Oversee functional, integration, end‑to‑end, API, system, regression, performance, operability, and deployment validation testing.
• Manage testing dependencies, risks, issues, environments, and stakeholder expectations across multiple work streams.
• Ensure timely status reporting, escalation management, and successful execution of release activities.

• Define enterprise strategies for test data management, service virtualization, and environment management.
• Establish processes for automation governance, framework maintenance, and engineering excellence.
• Drive integration of testing capabilities into Dev Ops and cloud delivery pipelines.

• Build and lead a high‑performing Quality…