Delivery Lead
About the role
- 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
