EXL
Website:
exlservice.com
Job details:
Delivery Lead – AI & Data
End-to-End Delivery Ownership | Agentic Data Programs | Enterprose Data Modernization | Insurance
📍 India (Gurgaon/Delhi/NCR ) | 🏢 External | 📅 Full-Time
ABOUT THE ROLE
We are seeking an experienced Delivery Lead to own the end-to-end execution of complex AI & Data programs — from project kick-off to sustained production operations. This is a hands-on technical leadership role with strong client-facing accountability: you will be the single point of ownership for delivery outcomes within signed scope while actively mining for expansion opportunities through exceptional execution.
You will lead cross-functional delivery teams, manage stakeholder relationships, and act as the technical conscience of the program ensuring that agentic data solutions are built right, on time, and at value.
WHAT YOU'LL DO
Delivery Ownership & Program Governance
- Own end-to-end delivery accountability for one or more concurrent AI & Data programs against signed scope, budget, and timeline
- Establish and drive program governance: sprint cadences, steering committees, risk registers, change control, and delivery dashboards
- Lead technical delivery teams of data engineers, AI/ML engineers, cloud architects, BAs— typically 10–30 FTEs
- Proactively identify and mitigate risks, dependencies, and blockers before they impact client commitments
- Manage scope, effort estimation, and resource allocation across the program lifecycle
Technical Leadership – Data & Agentic AI
- Provide hands-on technical oversight of data platform builds: ingestion pipelines, transformation layers, semantic models, and analytics APIs
- Guide the design and deployment of agentic AI solutions: agent orchestration, tool integrations, prompt engineering governance, and guardrails
- Conduct architecture reviews, technical spike planning, and code/quality gates across delivery workstreams
- Champion engineering best practices — CI/CD, data observability, lineage, testing frameworks — across the delivery team
- Drive data migration and modernization programs: schema mapping, ETL/ELT, cutover planning, reconciliation, and go-live
Client Engagement & Account Mining
- Serve as the primary day-to-day client interface for delivery: building trusted relationships with client program managers, architects, and domain owners
- Conduct regular client steering reviews, translating delivery metrics into business-impact narratives
- Identify and surface expansion opportunities (new workstreams, adjacent use cases, capacity growth) through quality delivery
WHAT YOU BRING
Required
- 10+ years in data engineering, AI/ML, or analytics — with at least 4 years in a delivery leadership or program management role
- Proven track record delivering complex, multi-workstream AI & Data programs in a services/consulting environment
- Hands-on technical expertise in modern data stacks: cloud data warehouses (Snowflake, Databricks, Redshift), data Lakehouse architectures(Databricks, Delta Lake), and orchestration tools (Airflow, dbt)
- Working knowledge of agentic AI architectures: LLM orchestration frameworks, RAG pipelines, multi-agent systems, and enterprise deployment patterns
- Strong client-facing communication — ability to present delivery progress, risks, and trade-offs to senior business and technology stakeholders
- Experience managing distributed delivery teams (India + offshore/onshore model)
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
Preferred / Nice to Have
- Insurance domain experience: P&C, Life & Annuities, Claims, Policy, or Underwriting data programs
- Data migration and data modernization project experience: legacy system decommissions, cloud lift-and-shift, or greenfield platform builds
- Familiarity with insurance data frameworks, regulatory reporting, and ACORD standards
- Certifications: AWS /Azure Data, Databricks, Snowflake, PMP/SAFe, or equivalent
CORE COMPETENCY PROFILE
Technical Anchor Skills:
Agentic AI / LLM Orchestration
Data Platform Engineering (Snowflake / Databricks / BigQuery)
dbt / Airflow / Spark
Data Migration & Modernization
CI/CD & Data Observability
Leadership & Delivery Skills:
Program Governance & Risk Management
Client Stakeholder Management
Distributed Team Leadership
Account Mining Through Delivery
Insurance Domain (Plus)
WHY THIS ROLE
- Lead programs that ship real AI agents into production — not POCs that get shelved
- High-visibility role with direct influence on client outcomes and account growth
- Collaborate with US-based engagement leads and global architects on industry-leading solutions
- Strong career path into architecture, practice leadership, or account management
Delivery Ownership & Program Governance
- Own end-to-end delivery accountability for one or more concurrent AI & Data programs against signed scope, budget, and timeline
- Establish and drive program governance: sprint cadences, steering committees, risk registers, change control, and delivery dashboards
- Lead technical delivery teams of data engineers, AI/ML engineers, cloud architects, BAs— typically 10–30 FTEs
- Proactively identify and mitigate risks, dependencies, and blockers before they impact client commitments
- Manage scope, effort estimation, and resource allocation across the program lifecycle
Technical Leadership – Data & Agentic AI
- Provide hands-on technical oversight of data platform builds: ingestion pipelines, transformation layers, semantic models, and analytics APIs
- Guide the design and deployment of agentic AI solutions: agent orchestration, tool integrations, prompt engineering governance, and guardrails
- Conduct architecture reviews, technical spike planning, and code/quality gates across delivery workstreams
- Champion engineering best practices — CI/CD, data observability, lineage, testing frameworks — across the delivery team
- Drive data migration and modernization programs: schema mapping, ETL/ELT, cutover planning, reconciliation, and go-live
Client Engagement & Account Mining
- Serve as the primary day-to-day client interface for delivery: building trusted relationships with client program managers, architects, and domain owners
- Conduct regular client steering reviews, translating delivery metrics into business-impact narratives
- Identify and surface expansion opportunities (new workstreams, adjacent use cases, capacity growth) through quality delivery
Required
- 10+ years in data engineering, AI/ML, or analytics — with at least 4 years in a delivery leadership or program management role
- Proven track record delivering complex, multi-workstream AI & Data programs in a services/consulting environment
- Hands-on technical expertise in modern data stacks: cloud data warehouses (Snowflake, Databricks, Redshift), data Lakehouse architectures(Databricks, Delta Lake), and orchestration tools (Airflow, dbt)
- Working knowledge of agentic AI architectures: LLM orchestration frameworks, RAG pipelines, multi-agent systems, and enterprise deployment patterns
- Strong client-facing communication — ability to present delivery progress, risks, and trade-offs to senior business and technology stakeholders
- Experience managing distributed delivery teams (India + offshore/onshore model)
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
Preferred / Nice to Have
- Insurance domain experience: P&C, Life & Annuities, Claims, Policy, or Underwriting data programs
- Data migration and data modernization project experience: legacy system decommissions, cloud lift-and-shift, or greenfield platform builds
- Familiarity with insurance data frameworks, regulatory reporting, and ACORD standards
- Certifications: AWS /Azure Data, Databricks, Snowflake, PMP/SAFe, or equivalent
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