QA Delivery Manager – Enterprise Data Platform
About the role
As a QA Delivery Manager – Enterprise Data Platform, you will make an impact by leading quality engineering and testing initiatives that ensure the reliability, accuracy, and scalability of enterprise data solutions. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data engineers, architects, governance teams, and delivery organizations to drive quality across enterprise data platform programs and data modernization initiatives.
In this role, you will:
- Lead end-to-end quality engineering, testing strategy, and delivery governance across enterprise data platform and data warehouse initiatives.
- Drive testing activities across multiple releases, source system integrations, data modernization programs, regulatory initiatives, and platform enhancements.
- Define and implement quality assurance frameworks, testing standards, defect management processes, quality metrics, and release readiness criteria.
- Oversee validation of enterprise data assets, including policy, premium, underwriting, finance, actuarial, reporting, analytics, lineage, and reconciliation data.
- Champion quality engineering innovation through automation, AI-driven testing, continuous improvement, and operational excellence initiatives.
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 time in a Cognizant or client office in Charlotte, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance through 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.
What you need to have to be considered
- 10+ years of experience in Quality Assurance, Quality Engineering, Data Validation, Testing, or related technical leadership roles.
- Strong experience leading large-scale data warehouse, data integration, ETL, and enterprise testing initiatives.
- Deep expertise in:
- Data Warehousing
- ETL and Data Integration Testing
- Cloud Data Platforms
- Data Quality Management
- Data Reconciliation
- Reporting and Analytics Validation
- Data Governance and Data Lineage
- Experience developing test strategies, quality frameworks, test plans, and release management processes for enterprise-scale programs.
- Proven success managing onsite-offshore delivery models and cross-functional testing organizations.
- Strong experience coordinating with business, architecture, development, data engineering, governance, and program management teams.
- Excellent stakeholder management, leadership, risk management, and executive communication skills.
These will help you stand out
- Experience within the Commercial Insurance industry, including Policy Administration, Underwriting, Premium Management, Claims, Finance, and Actuarial domains.
- Experience working with cloud-based data platforms such as Snowflake, Databricks, Azure, AWS, or similar modern data ecosystems.
- Knowledge of enterprise data migration, historical data conversion, and large-scale modernization programs.
- Experience supporting regulatory reporting, financial reconciliations, and operational reporting validation.
- Exposure to AI-driven testing, intelligent automation, and Generative AI-enabled quality engineering solutions.
- Experience leading production validation, hypercare support, root cause analysis, and continuous improvement programs.
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.
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.
Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français.
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, de l'information génétique, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée telle que décrite par les lois fédérales, provinciales ou locales.
Si vous avez un handicap qui nécessite un aménagement raisonnable pour rechercher une offre d'emploi ou poser une candidature, envoyiez un courriel à [email protected] avec votre demande et vos coordonnées.
