Senior Test Manager - AI Testing

Cognizant; Toronto; Hybrid; CAD 110,000 - 141,000; Full time

Job summary

Cognizant is seeking a Senior Test Manager in Canada to lead large-scale enterprise quality engineering and digital transformation with a strong emphasis on test automation, DevOps, and Generative AI. You will drive an ambitious QE roadmap while coordinating with engineering, product, design, and leadership teams.

The role demands 15+ years in QE, a track record of delivering complex testing transformations, and hands-on experience in AI-enabled test design and automation.

Qualifications

• 15+ years of experience in Quality Engineering (QE), Test Architecture, and Test Automation.
• Proven track record 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.
• Experience delivering end-to-end program delivery including non-production environment management, test data management, UAT coordination, production readiness validation, deployment support, and post-production verification.
• Hands-on expertise in Generative AI and Agentic AI, including Prompt Engineering, RAG, AI-powered test automation.

Responsibilities

• Defining program scope and objectives to align with business needs.
• Managing cross-team dependencies to ensure seamless integration.
• Identifying and mitigating technical risks with proactive strategies.
• Stakeholder management across engineering, product, and leadership teams.
• Risk management, including identifying, assessing, and mitigating risks and dependencies.
• Clear communication updates to technical and non-technical audiences.
• Leadership and relationship-building with stakeholders across multiple business units.

Skills

Test Automation Architecture

GenAI & LLMs

GitHub Copilot

CI/CD & DevOps

Quality Analytics

Strong communication

Stakeholder Management

Java

Selenium

Playwright

API Automation

Azure OpenAI

LangChain

LangGraph

Anthropic Claude

AI-powered test automation

Tools

Selenium

Playwright

GitHub Copilot

Azure OpenAI

LangChain

LangGraph

Anthropic Claude

Job description

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.

Key Skills:

Test Automation Architecture | GenAI & LLMs | GitHub Copilot | CI/CD & DevOps | Quality Analytics | Strong communication, presentation skills | Stakeholder Management

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.