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!
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。
