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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
