About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking an experienced QA Delivery Manager to lead quality engineering, testing strategy, and delivery for a large-scale Enterprise Data Platform initiative. This role will oversee end-to-end quality assurance across multiple data domains, including policy, premium, underwriting, finance, actuarial, and operational data. The ideal candidate will have deep expertise in data warehousing, ETL testing, cloud data platforms, and enterprise quality governance, combined with strong leadership and stakeholder management skills. This position will drive testing excellence, ensure data integrity, and support successful delivery of critical business and regulatory initiatives.
In this role, you will:
· Lead quality assurance and testing activities for Enterprise Data Platform and Enterprise Data Warehouse implementations.
· Define and execute comprehensive QA strategies, testing frameworks, quality metrics, and release readiness criteria.
· Manage testing delivery across multiple releases, source-system onboarding initiatives, modernization programs, and platform enhancements.
· Oversee validation of policy, premium, underwriting, finance, actuarial, and operational data to ensure accuracy and completeness.
· Lead data reconciliation, reporting validation, lineage verification, historical data migration testing, and business rule validation efforts.
· Establish governance processes for defect management, triage, prioritization, escalation, and closure across multiple workstreams.
· Monitor delivery health, testing progress, quality KPIs, defect trends, and business impacts while providing regular updates to leadership.
· Collaborate with business, data engineering, architecture, governance, and program teams to ensure alignment with delivery objectives.
· Support deployment validation, hypercare activities, root cause analysis, and operational stabilization following production releases.
· Drive continuous improvement initiatives, including test automation, AI-driven quality engineering, and process optimization.
· Lead onsite-offshore QA teams, providing direction, mentoring, and oversight for successful execution of testing activities.
What you need to have to be considered
· 10+ years of experience in Quality Assurance, Quality Engineering, Data Validation, or Enterprise Testing roles.
· Strong experience leading large-scale Data Warehouse, ETL, Data Integration, or Enterprise Data Platform testing programs.
· Deep expertise in Data Warehousing, ETL Testing, Data Quality, Reconciliation, Data Governance, and Reporting Validation.
· Experience working with cloud-based data platforms such as Azure, AWS, Snowflake, Databricks, or similar technologies.
· Strong understanding of data lineage, traceability, historical data migrations, incremental data processing, and enterprise reporting validation.
· Proven experience managing onsite-offshore delivery teams and coordinating cross-functional stakeholders.
· Experience defining testing strategies, governance frameworks, defect management processes, and quality metrics.
· Strong stakeholder management, executive communication, and program leadership skills.
· Familiarity with AI/GenAI-enabled testing, test automation frameworks, and modern quality engineering practices.
· Commercial Insurance domain experience, including Policy Administration, Underwriting, Premium Management, Claims, Finance, or Actuarial functions, is highly preferred.
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Applications will be accepted until 12 Aug 2026.
Salary and Other Compensation:
The annual salary for this position is between $[98,500 - 115,500] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, 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
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。
