Job Summary
We are seeking an experienced Automation Test Manager - Insurance (Property & Casualty) to lead enterprise-wide quality engineering initiatives for a large-scale insurance program. This role is responsible for driving the automation testing strategy, overseeing quality assurance delivery, and leading high-performing QA teams across complex testing engagements. The ideal candidate will bring deep expertise in test automation, quality engineering leadership, and Property & Casualty insurance, along with a proven track record of delivering scalable and efficient testing solutions.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About the Role
As an Automation Test Manager - Insurance (Property & Casualty), you will be responsible for defining and executing an automation-first quality strategy while ensuring the successful delivery of testing services across multiple workstreams. You will lead the design and implementation of scalable automation frameworks spanning UI, API, database, and other testing layers, while driving continuous quality improvements through metrics, root cause analysis, and best practices.
In this role, you will collaborate closely with business and technology stakeholders to establish quality standards, manage testing teams, and support the adoption of AI-enabled testing approaches, including the use of generative AI tools and intelligent automation capabilities. The ideal candidate will combine strong leadership skills, deep automation expertise, and Property & Casualty insurance domain knowledge to deliver high-quality solutions and accelerate business outcomes.
In This Role, You Will
• Drive automation-first quality strategy and lead automation solutions across programs.
• Design scalable automation architectures spanning UI, API, Mobile, and Database layers.
• Embed GenAI-driven testing using LLMs (GPT-4/4o, Claude, Gemini, Llama) with advanced Prompt Engineering.
• Leverage GitHub Copilot and Claude to enable AI-assisted automation and enforce CI/CD quality gates.
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 4 days a week in a client or Cognizant office in Charlotte, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Required Qualifications
• 15+ yrs. QA experience candidate with 10+ yrs. of lead exposure
• Hands on experience on test management tools like Rally, ALM and Jira
• General Insurance domain with Property & Casualty
• Experience in building QA metrics and building root cause analysis reports
• Background on test automation (java/Selenium)
Additional Information
We welcome applicants who share our mission and can make an impact in a variety of ways. Even if you don’t meet every listed requirement, we encourage you to apply. Consider your transferable experience and unique skills that may bring fresh perspective to the role.
Salary and Other Compensation:
Applications will be accepted until October 25th , 2026.
The annual salary for this position is between $70,000 - $112,500 depending on the experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits 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.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
