EXL · 5 hours ago
Senior Manager, Data & Analytics
United States
Full-time
Remote
Senior Level
$170K/yr - $173K/yr
5+ years expEXL is a company specializing in healthcare customer service, and they are seeking a Senior Manager for Data & Analytics. The role involves designing and maintaining ETL workflows, developing data pipelines, and implementing data-driven solutions to optimize business strategies.
AnalyticsBankingOutsourcing
Responsibilities
Design, develop, and maintain Extract/Transform/Load (ETL) workflows and large-scale data pipelines using Python, SQL (Structured Query Language), Hive, PySpark and BigQuery
Orchestrate, optimize, and deploy end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data using Hadoop, Cloud Composer, Airflow DAGs, and DataProc clusters
Implement CI/CD pipelines using GitHub and Jenkins to automate deployments and ensure high availability of data pipelines
Develop and deploy classification and regression models, uplift modeling and predictive analysis to optimize marketing, sales and operational strategies
Utilize feature engineering, model validation and hyperparameter tuning techniques to enhance model accuracy and robustness
Implement A/B testing frameworks and causal inference methods to assess and refine data-driven decisions
Design and implement Large Language Model (LLM)-based solutions for automated customer interactions, intelligent search, and content generation
Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging Vector Databases and embedding models for domain-specific knowledge retrieval
Develop prompt engineering strategies, supervised fine-tuning methodologies, and Agentic AI workflows to create adaptive and autonomous AI-driven solutions
Use shell scripting and scheduling tools like Zeke and Airflow to manage job execution and monitoring
Develop data dictionaries and metadata repositories to document data lineage and improve accessibility
Work closely with cross-functional teams, including business analysts, data scientists, and IT teams, to ensure seamless integration of data solutions
Create and manage data models to build interactive Tableau and Power BI dashboards to provide key insights to business users and management
Qualification
Required
Bachelor's degree in Engineering, Electronic Engineering, or a directly related field
Five (5) years of related professional experience
Five (5) years of experience with Python, SQL, Hive, Hadoop, PySpark, and BigQuery
Utilizing Airflow and DataProc
Utilizing the Google Cloud Platform (GCP), BigQuery, Cloud Storage, and Cloud Composer
Three (3) years of experience with CI/CD pipelines, including GitHub and Jenkins
Machine learning experience, including classification, regression, uplift modeling, and predictive analytics
Two (2) years of experience with Generative AI (LLMs, RAG, Vector DBs, Prompt Engineering, Supervised Fine-Tuning, Agentic AI, etc.)
Experience with Tableau and Power BI
Company
EXL
EXL is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries
10001+ employees
H1B Sponsorship
EXL has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$150MKey Investors
The Orogen GroupFTV Capital
2018-10-02Post Ipo Debt· $150M
2006-10-20IPO
2004-12-01Series Unknown
Leadership Team
Rohit Kapoor
Chairman & Chief Executive Officer
Brad Burdick
SVP, Insurance Domain Platforms
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