Delivery Lead – AI & Data

EXL

Delivery Lead owning production AI agents and data modernization programs for insurance clients. Leading distributed engineering teams, governance, technical delivery, and account expansion.

Posted 9/4/2026full-timeChennai • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in managing end-to-end delivery of AI and Data programs, with a strong focus on technical oversight, risk management, and client communication. Proficient in cloud data technologies and methodologies, ensuring successful project execution and stakeholder engagement.

Highest-signal resume keywords

AI & Data Program DeliveryCloud Data WarehousingClient-Facing CommunicationRisk ManagementTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAI/MLETL/ELTData MigrationSchema MappingArchitecture ReviewsCI/CDData ObservabilityQuality GatesAgile Methodologies

Soft Skills

Stakeholder ManagementCommunicationProblem SolvingLeadership

Tools & Technologies

SnowflakeDatabricksRedshiftDelta LakeAirflowDbt

Industry Keywords

Insurance Data FrameworksACORD StandardsAgentic AI ArchitecturesMulti-Agent SystemsDelivery Metrics

Tech Stack

Tools & technologies

AirflowAmazon RedshiftCloudETL

About the role

Key responsibilities & impact

Own end-to-end delivery accountability for concurrent AI & Data programs within scope, budget, and timeline
Establish and drive sprint cadences, steering committees, risk registers, change control, and delivery dashboards
Lead technical teams of data engineers, AI/ML engineers, cloud architects, and BAs, typically 10–30 FTEs
Identify and mitigate risks, dependencies, and blockers
Manage scope, effort estimation, and resource allocation
Provide technical oversight of ingestion pipelines, transformation layers, semantic models, and analytics APIs
Guide design and deployment of agentic AI solutions, including orchestration, tool integrations, prompt governance, and guardrails
Conduct architecture reviews, technical spike planning, and code/quality gates
Champion CI/CD, data observability, lineage, and testing frameworks
Drive data migration and modernization through schema mapping, ETL/ELT, cutover planning, reconciliation, and go-live
Serve as primary day-to-day client interface and conduct steering reviews
Translate delivery metrics into business-impact narratives
Identify expansion opportunities through quality delivery

Requirements

What you’ll need

10+ years in data engineering, AI/ML, or analytics, including at least 4 years in delivery leadership or program management
Proven track record delivering complex, multi-workstream AI & Data programs in a services/consulting environment
Hands-on expertise with cloud data warehouses including Snowflake, Databricks, and Redshift
Experience with Lakehouse architectures, Databricks, Delta Lake, Airflow, and dbt
Working knowledge of agentic AI architectures, LLM orchestration frameworks, RAG pipelines, multi-agent systems, and enterprise deployment patterns
Strong client-facing communication and ability to present delivery progress, risks, and trade-offs to senior stakeholders
Experience managing distributed delivery teams using India plus offshore/onshore models
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Insurance experience, data migration/modernization, insurance data frameworks, ACORD standards, and listed certifications are preferred or nice to have

Benefits

Comp & perks

High-visibility role with direct influence on client outcomes and account growth
Strong career path into architecture, practice leadership, or account management
Collaborate with US-based engagement leads and global architects on industry-leading solutions
Opportunity to lead AI agents into production