Delivery Lead – AI, Data

EXL

Delivery Lead owning agentic AI and data modernization programs for insurance clients. Leading technical teams, governance, production deployments, and client account growth.

Posted 9/4/2026full-timeBengaluru • 🇮🇳 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 cloud data warehouses, data Lakehouse architectures, and orchestration tools. Proven ability to lead technical teams, drive program governance, and effectively communicate with clients and stakeholders.

Highest-signal resume keywords

AI & Data Program DeliveryCloud Data WarehousesData Lakehouse ArchitecturesOrchestration ToolsClient-Facing Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAI/MLAnalyticsData MigrationETL/ELTSchema MappingTechnical OversightRisk ManagementResource AllocationDelivery Metrics

Soft Skills

LeadershipCommunicationClient ManagementProblem SolvingTeam Collaboration

Tools & Technologies

SnowflakeDatabricksRedshiftAirflowDbtCI/CDData ObservabilityAnalytics APIsAgentic AI SolutionsPrompt Engineering

Certifications & Qualifications

PMPSAFeAWS DataAzure Data

Industry Keywords

Insurance Domain ExperienceRegulatory ReportingACORD StandardsMulti-Agent SystemsEnterprise Deployment Patterns

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCloudETLPMP

About the role

Key responsibilities & impact

Own end-to-end delivery accountability for concurrent AI & Data programs against scope, budget, and timeline
Establish and drive program governance, including sprint cadences, steering committees, risk registers, change control, and delivery dashboards
Lead technical delivery teams of data engineers, AI/ML engineers, cloud architects, and business analysts, typically 10–30 FTEs
Identify and mitigate risks, dependencies, and blockers
Manage scope, effort estimation, and resource allocation
Provide technical oversight of data platform builds, including ingestion pipelines, transformation layers, semantic models, and analytics APIs
Guide design and deployment of agentic AI solutions, including agent orchestration, tool integrations, prompt engineering 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 programs through schema mapping, ETL/ELT, cutover planning, reconciliation, and go-live
Serve as the primary day-to-day client interface
Conduct client steering reviews and 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
Expertise in data Lakehouse architectures, including Databricks and Delta Lake
Experience with orchestration tools including 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
Preferred: Insurance domain experience
Preferred: Data migration and modernization project experience
Preferred: Familiarity with insurance data frameworks, regulatory reporting, and ACORD standards
Preferred: AWS/Azure Data, Databricks, Snowflake, PMP/SAFe, or equivalent certifications

Benefits

Comp & perks

Lead programs that ship real AI agents into production
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