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.
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, provincial or local laws.
