Manager, Quality Engineering & Testing

Role overview

Build quality engineering capability

• Establish testing standards, methods, templates, quality gates, and reusable delivery assets.
• Build a Quality Engineering Community of Practice and coach teams on test-driven development, behavior-driven development, unit testing, and shift-left practices.
• Set assurance requirements for AI-generated solutions, including traceability, independent test design, human review, security and accessibility testing, and release evidence.
• Develop automation frameworks and support responsible AI-enabled testing, including generation, test data, regression, defect analysis, and reporting.
• Assess practices and pilot or scale test-first, AI-enabled, and controlled vibe-coding approaches, including through Client Zero.
• Create reusable accessibility and compliance testing practices; identify capability gaps and support recruitment, onboarding, and mentoring.

Client delivery and commercial responsibilities

• Lead testing strategies for complex digital engagements and provide oversight across concurrent client projects.
• Advise on functional, unit, integration, regression, API, performance, security, accessibility, compliance, and user acceptance testing.
• Embed test-first acceptance criteria, automated tests, continuous integration, and rapid quality feedback in delivery workflows.
• Define risk-based testing for AI-generated solutions and oversee accessibility, compliance, evidence collection, release readiness, and clear quality reporting.
• Review requirements, prompts, architecture, designs, generated code, and dependencies for quality, security, maintainability, and risk.
• Develop estimates, assumptions, work plans, staffing models, and delivery approaches; support proposals, Statements of Work, RFPs, and client presentations.
• Manage testing within approved scope, schedule, and budget, balancing quality, client priorities, contractual commitments, and engagement economics.

Skills and experience

• 5–7 years of progressive testing, quality assurance, quality engineering, or software development experience, including leading testing in consulting or complex client delivery.
• At least 3 years leading teams, workstreams, or quality engineering initiatives across multiple projects or client engagements.
• Practical experience with test-driven development, automated unit testing, testable code, test doubles, CI/CD, and coaching teams on test-first delivery.
• Experience establishing governance and quality gates for AI-assisted development, and testing software generated by coding assistants or natural-language prompts.
• Experience estimating, planning, and managing testing work across fixed-fee and time-and-materials engagements and overseeing multiple projects or distributed teams.
• Strong knowledge of testing, automation, code quality, metrics, and AI-generated software validation; practical accessibility and compliance testing experience, including WCAG familiarity.
• Ability to work across Microsoft Power Platform, Dynamics 365, Azure, custom applications, data platforms, integrations, and AI-enabled solutions.
• Strong client advisory, communication, facilitation, and stakeholder management skills.

Compensation

• Ideal hiring range is CAD 120,000 to CAD 150,000, depending on skills and experience.