Senior Test Manager - AI Testing, Toronto, ON-199 Bay Street, Ontario, Canada

We are seeking a Senior Test Manager to lead large-scale enterprise quality engineering and digital transformation initiatives. In this role, you will bridge the gap between technical execution and business strategy, driving our next-generation quality engineering roadmap with a heavy emphasis on Test Automation, DevOps, and Generative/Agentic AI across complex insurance and retirement systems.

In this role, you will

Defining program scope and objectives: Setting clear goals, timelines, and deliverables that align with business objectives.
Managing cross-team dependencies: Coordinating with various teams to ensure seamless integration and collaboration.
Identifying and mitigating technical risks: Developing strategies to address potential risks and issues.
Stakeholder management: Collaborating with engineering, product, and leadership teams to align goals and resolve conflicts.
Risk management: Proactively identifying, assessing, and managing risks, issues, and dependencies.
Communication: Delivering clear updates to technical and non-technical audiences across all levels.
Leadership: Building strong relationships with stakeholders across engineering, product, design, marketing, legal, and other business units.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto or Kitchener location. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

Minimum 15+ years of experience in Quality Engineering (QE), Test Architecture, and Test Automation, with a proven track record of leading large-scale enterprise testing transformations and quality assurance programs.
Strong knowledge of modern QE practices, including shift-left testing, CI/CD integration, DevOps, test observability, quality metrics, and AI-assisted software delivery.
Proven ability to define and execute Quality Engineering strategies, automation roadmaps, governance models, and best practices, while leading globally distributed teams and delivering measurable improvements in productivity, quality, release velocity, and cost efficiency.
Demonstrated success in driving end-to-end program delivery, including non-production environment management, test data management, UAT coordination, production readiness validation, deployment support, and post-production verification for strategic enterprise initiatives.
Strong knowledge of modern QE practices, including shift-left testing, CI/CD integration, DevOps, test observability, quality metrics, and AI-assisted software delivery.
Hands-on expertise in Generative AI and Agentic AI, including Prompt Engineering, RAG, AI-powered test automation, and leveraging AI for intelligent test design, execution optimization, root cause analysis, and defect prediction.
Technical proficiency in Java, Selenium, Playwright, API Automation, and implementation of scalable, reusable, and AI-enabled test automation frameworks.
Understanding of LLM ecosystems and AI platforms, including Azure OpenAI, LangChain, LangGraph, GitHub Copilot, Anthropic Claude, and related AI orchestration frameworks.

These will help you stand out

Domain expertise in Life Insurance / Annuity is highly preferred, with experience supporting policy administration, claims, underwriting, billing, and digital transformation initiatives being an added advantage.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Total compensation

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD 110,000 – 141,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.