Delivery Lead

EXL; Jersey City (NJ); On-site; USD 145,000 - 166,000; Full time

Job summary

EXL Jersey City is seeking a Delivery Lead to manage end-to-end AI and data platform projects and modern data engineering architectures. You will coordinate data engineers, ML engineers, architects, and SMEs to ensure successful delivery aligned with business goals.

You will oversee governance, deployment, monitoring, and performance tuning across the project lifecycle, while championing responsible AI and strong collaboration with stakeholders.

Qualifications

• 8+ years of experience delivering enterprise-scale data and AI projects.
• Proven success leading cross-disciplinary technical teams and implementing AI/ML solutions in production environments.
• Strong grasp of data architecture, data pipelines, prompt engineering, model deployment, and evaluation metrics.
• Excellent communication skills bridging technical and business teams.

Responsibilities

• Lead full lifecycle delivery of data and AI solutions—from discovery to adoption.
• Collaborate with solution architects, data scientists, and stakeholders to validate use cases and feasibility.
• Manage technical risks, drive issue resolution, and ensure quality and scalability.
• Oversee sprint planning, release management, and production deployment.
• Champion best practices in data governance, AI lifecycle management, model interpretability, and ethical AI usage.
• Foster strong relationships with business users, enterprise architects, and vendor partners.

Skills

8+ years exp

Cross-functional leadership

AI/ML in production

Data architecture

Communication skills

Tools

Jira

Confluence

Git

CI/CD

Agile/Scrum

Job description

We are seeking a Delivery Lead to manage the end-to-end delivery of cutting-edge AI and data platform projects, and modern data engineering architectures. This role requires strong coordination across cross-functional teams of Data Engineers, Machine Learning Engineers, Architects, and SME’s to ensure successful implementation and business alignment.

Key Responsibilities:

• Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption.
• Collaborate with Solution Architects, Data Scientists, and business stakeholders to validate functional use cases and technical feasibility.
• Manage technical risks, drive issue resolution, and ensure the quality and scalability of delivered solutions.
• Oversee sprint planning, release management, and production deployment, including post-release monitoring and performance tuning.
• Champion best practices in data governance, AI/ML lifecycle management, model interpretability, and ethical AI usage.
• Foster strong relationships with business users, enterprise architects, and vendor partners to ensure value-driven outcomes.

Required Skills:

• 8 +years of experience in delivering enterprise-scale data and AI projects
• Proven success in leading cross-disciplinary technical teams and implementing AI/ML solutions in production environments.
• Strong grasp of data architecture, data pipelines, prompt engineering, model deployment, and evaluation metrics.
• Excellent communication skills and ability to bridge technical and business teams effectively.

Preferred Technology Stack:

• Cloud & Data Platforms: Azure, AWS, Snowflake, Databricks, Microsoft Fabric, and cloud-native data services.
• Data Management & Governance: Collibra, Alation, I, data quality, metadata management, lineage, MDM, and reference data management.
• AI/ML & GenAI: Azure AI, Azure OpenAI, AWS AI/ML services, MLflow, model deployment and monitoring, prompt engineering, RAG, and responsible AI controls.
• Delivery & DevOps: Jira, Confluence, Git, CI/CD, Agile/Scrum, release management, and production support practices.
• P&C Insurance Platforms: Exposure to Guidewire, Duck Creek, or equivalent policy, claims, billing, underwriting, and insurance data platforms is preferred.

Base compensation Range : 145,000-166,000

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits