Delivery Manager

EXL

. Oversee and drive end-to-end projects focused on analytical applications and data solutions .

Posted 11/9/2026full-timeNew Jersey • United StatesMid-LevelSenior💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and integrating AI/ML solutions using Generative AI frameworks, while leading data engineering teams to deliver scalable data solutions in Agile environments. Proficient in managing cross-functional collaboration and ensuring adherence to best practices in data integration and compliance.

Highest-signal resume keywords

Data Engineering FrameworksGenerative AI IntegrationAgile Project ManagementCloud Technologies (AWS, Azure)Leadership in Data Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SnowflakeSparkAWS GlueSQLDBTPySparkJavaPythonCI/CDBig Data

Soft Skills

CommunicationStakeholder ManagementLeadership

Tools & Technologies

OpenAIHugging FaceAWS AI Service APIsJenkinsGitLabTerraformAWS EMRAWS S3AWS LambdaAzure Data Factory

Industry Keywords

Event-Driven ArchitecturesStreaming Data SolutionsData Quality ValidationPipeline OrchestrationOWASP Guidelines

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudJavaJenkinsMicroservicesPySparkPythonSnowflakeSparkSQLTerraform

About the role

Key responsibilities & impact

Oversee and drive end-to-end projects focused on analytical applications and data solutions
Provide technical leadership and mentorship to data engineering teams
Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables
Design, deploy, and integrate AI/ML solutions using Generative AI frameworks such as OpenAI, Hugging Face, or Google Vertex AI
Manage cross-functional collaboration with Business Data Analysts to align data engineering and business goals
Own release planning, change management, and stakeholder engagement
Ensure adherence to Agile practices, including sprint planning, retrospectives, and delivery timelines
Build modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration
Implement data engineering, cloud, application development, CI/CD, Big Data, security, and compliance solutions

Requirements

What you’ll need

Bachelor's in engineering or related field
Proven experience building scalable data engineering frameworks and foundational services for enterprise-wide analytics initiatives
Hands-on expertise in Snowflake, Spark, and AWS Glue
Knowledge of event-driven architectures and streaming data solutions
Strong leadership experience managing teams and delivering complex projects in Agile environments
Experience leading teams of more than 20 members
Proficiency integrating Generative AI solutions into existing platforms and workflows
Excellent communication and stakeholder management skills
Expertise in modular, scalable, reusable frameworks for data integration, data quality validation, and pipeline orchestration
Hands-on experience with LLMs, Agentic AI, and OpenAI, Hugging Face, or AWS AI service APIs
Strong background in SQL, DBT, PySpark, query optimization, CDC, and data transformation
Extensive experience with AWS Glue, EMR, S3, Lambda, Redshift, Azure Data Factory, and cloud-native architectures
Expertise in Java, Python, event-driven and microservices-based architectures
Proficiency with Jenkins, GitLab, and Terraform for CI/CD and infrastructure-as-code automation
Experience managing Big Data platforms and large-scale data ingestion, storage, and processing
Knowledge of OWASP guidelines, RBAC, and vulnerability detection/remediation

Benefits

Comp & perks

Benefits information provided at https://www.exlservice.com/us-careers-and-benefits