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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.
#LI-EF1
#CB
#Ind123
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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
