Senior Test Manager - AI Testing

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, Dev Ops, and Generative/Agentic AI across complex insurance and retirement systems.

• 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.

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.

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.

Test Automation Architecture | GenAI & LLMs | Git Hub Copilot | CI/CD & Dev Ops | Quality Analytics | Strong communication, presentation skills | Stakeholder Management

• 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, Dev Ops, 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, Dev Ops, 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, Lang Chain, Lang Graph, Git Hub Copilot, Anthropic Claude
  , and related AI orchestration frameworks.