EXL
Delivery Lead
Skills
18 days ago
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Important information
Contract type:
Permanent
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
9 October 2026
What they need
Job Title
- Delivery Lead
Location
- NY/NJ (3-4 days per week)
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
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