Job Description

Assistant ManagerEXL/AM/1455258


ServicesGurgaon
Posted On
27 Aug 2025
End Date
11 Oct 2025
Required Experience
NA



Basic Section
Number Of Positions


1


Band


B1


Band Name


Assistant Manager


Cost Code


D005894


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1.0000 - 1.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Banking & Financial Services


Organization


Services


LOB


Services


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL - Gurgaon Center 38




Skills
Skill


Minimum Qualification


No data available


Certification


No data available

Role Overview

We are seeking a

Data Engineer with Generative AI expertise

to join our Insurance Analytics team in Gurgaon. The role requires a blend of

data engineering, cloud, and GenAI skills

, with a focus on building robust data pipelines and deploying AI-driven solutions to solve complex insurance business challenges.


This is a

hands-on engineering role

where you will work with insurance clients, business stakeholders, and data science teams to design, implement, and optimize data/GenAI solutions.

Key Responsibilities

Data Engineering & Pipelines

+ Design, build, and maintain scalable ETL/ELT pipelines using modern data platforms (Azure, AWS, GCP).
+ Integrate structured and unstructured insurance data sources (policy, claims, underwriting, actuarial, customer data).
+ Optimize data pipelines for performance, scalability, and cost efficiency.

Generative AI Enablement

+ Collaborate with data scientists and solution architects to embed

GenAI models (LLMs, copilots, prompt engineering)

into insurance workflows.
+ Develop connectors, APIs, and middleware to integrate GenAI solutions with enterprise systems.
+ Fine-tune and customize foundation models for insurance-specific use cases (e.g., claim notes summarization, underwriting automation, agent assistance).

Cloud & Architecture

+ Build cloud-native data platforms leveraging

Databricks, Azure Synapse, AWS Redshift, or GCP BigQuery

.
+ Ensure compliance with

insurance data governance, privacy, and regulatory requirements

(HIPAA, GDPR, IRDAI).

Collaboration & Delivery

+ Partner with

BI/reporting teams, actuaries, and insurance SMEs

to ensure data availability for analytics & AI use cases.
+ Work in agile project teams, participating in design workshops, sprint planning, and code reviews.
+ Provide technical guidance and training to junior engineers.

Required Skills & Experience

Education:

Bachelor's/Master's in Computer Science, Data Engineering, or related fields.

Experience:

4-8 years in data engineering, with at least 1-2 years hands-on in

GenAI/LLM integration

.

Technical Skills:

+ Strong SQL, Python, PySpark/Scala.
+ Data platforms:

Databricks, Snowflake, Synapse, BigQuery

.
+ Cloud:

Azure (preferred), AWS, or GCP

.
+ GenAI/AI:

OpenAI, Azure OpenAI, Hugging Face, LangChain, RAG frameworks

.
+ Data integration: APIs, REST, Kafka, Delta Lake.
+ CI/CD & DevOps tools (Git, Jenkins, Terraform).

Soft Skills:

+ Strong problem-solving and analytical thinking.
+ Ability to translate business requirements into technical solutions.
+ Excellent communication skills to work with cross-functional teams and insurance clients.

Preferred / Nice-to-Have

Prior experience in

insurance or financial services analytics

. Exposure to

prompt engineering, fine-tuning LLMs

, and building copilots. Familiarity with

BI/Visualization tools

(Power BI, Tableau).

Knowledge of

data security, compliance, and audit frameworks

in insurance.


Workflow
Workflow Type


L&S-DA-Consulting