Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
This position is open only to visa-independent candidates and will not support visa sponsorship now or in the future.
Service Delivery Manager – Data Analytics, Data Migration & Data Modernization
Role Summary
The Service Delivery Manager will lead the successful delivery of Data Analytics, Data Migration, and Data Modernization programs in a hybrid work environment, ensuring high-quality execution, client satisfaction, and operational excellence. The role is responsible for managing end-to-end project delivery, coordinating cross-functional teams, and driving strategic data initiatives leveraging cloud technologies such as AWS, Snowflake, and Generative AI solutions. The individual will ensure seamless execution of data-driven projects that enable informed decision-making, business transformation, and measurable organizational value.
Responsibilities
- Oversee end-to-end delivery of Data Analytics, Data Migration, and Data Modernization projects, ensuring successful execution against scope, quality, budget, and timeline commitments.
- Lead project planning and execution activities by defining objectives, milestones, resource requirements, dependencies, and risk mitigation plans aligned with business and client goals.
- Drive cloud-based data transformation initiatives using AWS services and Snowflake platforms to modernize legacy data ecosystems and improve scalability, performance, and governance.
- Manage large-scale data migration programs, including migration strategy, data validation, reconciliation, testing, and post-migration stabilization.
- Collaborate with business stakeholders, architects, data engineers, and analytics teams to deliver robust data platforms, reporting solutions, dashboards, and advanced analytics capabilities.
- Ensure effective utilization of Generative AI technologies to enhance data analysis, automation, knowledge management, reporting, and business insights generation.
- Establish and maintain delivery governance frameworks, including project reviews, status reporting, change management, risk tracking, and stakeholder communication.
- Monitor project financials, resource allocation, and utilization to optimize costs and maximize delivery efficiency across multiple concurrent engagements.
- Drive continuous improvement by leveraging delivery metrics, service performance indicators, and lessons learned to enhance operational effectiveness and client satisfaction.
- Provide leadership and guidance to distributed teams working in hybrid environments, fostering collaboration, accountability, and high performance.
- Ensure compliance with enterprise data governance, security, privacy, and regulatory requirements during migration and modernization activities.
- Support development of data modernization roadmaps and cloud adoption strategies that align with organizational digital transformation initiatives.
- Manage client relationships proactively by addressing concerns, communicating delivery progress, and ensuring successful outcomes that generate measurable business value.
- Coordinate transition-to-support activities, including knowledge transfer, operational readiness assessments, and service stabilization for newly delivered solutions.
Qualifications
- Demonstrated experience managing large-scale Data Analytics, Data Migration, and Data Modernization programs in enterprise environments.
- Strong project and service delivery management expertise with proven success leading cross-functional teams across complex technology engagements.
- Deep understanding of modern data architectures, data warehousing, ETL/ELT processes, data governance, metadata management, and analytics platforms.
- Hands-on knowledge of AWS Cloud Services, including data and analytics technologies such as:
- Amazon S3
- AWS Glue
- Redshift
- Lambda
- EMR
- Athena
- AWS AI/ML Services
- Strong experience with Snowflake, including data warehousing, performance optimization, data sharing, governance, and cloud migration initiatives.
- Experience implementing Generative AI (GenAI) solutions and understanding of Large Language Models (LLMs), AI-powered automation, prompt engineering, and enterprise AI use cases.
- Strong stakeholder management and communication skills with the ability to engage executives, business leaders, technical teams, and external clients.
- Proven expertise in risk management, issue resolution, dependency management, and governance for complex data programs.
- Experience managing Agile, Scrum, Waterfall, or Hybrid delivery methodologies.
- Solid understanding of analytics tools, business intelligence platforms, and data visualization technologies.
- Ability to lead globally distributed teams while maintaining delivery excellence in a hybrid work environment.
Preferred Skills
- Data Strategy & Data Governance
- Cloud Data Platforms
- AWS Data & Analytics Services
- Snowflake Data Cloud
- Data Migration & Modernization
- Data Warehousing & ETL/ELT
- Generative AI & Machine Learning
- Business Intelligence & Reporting
- Agile Program Management
- Stakeholder & Client Management
- Service Delivery & Operational Excellence
Preferred Certifications
- AWS Certified Solutions Architect – Associate/Professional
- AWS Certified Data Engineer – Associate
- SnowPro Core Certification
- SnowPro Advanced Certification
- PMP (Project Management Professional)
- Certified Scrum Master (CSM) or SAFe Certification
- Generative AI / AI Practitioner Certifications (AWS, Microsoft Azure AI, Google Cloud AI, or equivalent)
Application Accepted: 9/31/2026
The annual salary for this position is between $150,000 - $190,000 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
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable language
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
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。
