Manager - Data Engineering

Virtual Req #1835
Wednesday, November 3, 2021

Company Overview and Culture 

EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit

For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses. 

Role and Responsibilities:

  • Manage and provide leadership around data infrastructure and data engineering by overseeing development, customization, and management of data integration tools, databases, warehouses, and analytical systems
  • Work across a wide range of problems in the data ingestion, data compute, data transport, data orchestration, data interoperability, experimentation, and data privacy areas
  • Review and integrate data into readily available formats while maintaining existing structures and govern their use according to business requirements
  • Manage the evaluation and integration of new data sources as they become available and monitor the performance, scalability, and security of data
  • Identify and improve the technical competencies within the team and establish practices for delivering engineering excellence
  • Partner with client engineering teams to understand their data needs and help create tools and automation that helps them derive value from their data
  • Works with the Business Intelligence delivery team to build out target information delivery architecture across PowerBI
  • Lead by example, role-modeling best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting and incident response.


  • Bachelor’s or Master’s (preferred) degree in in a quantitative or technical field such as Computer Science, Information Technology, Computer Engineering or equivalent
  • 6+ years IT experience in software development for data systems at scale (building data warehouse, data marts, data lakes, ETL, analytic solutions, etc.)
  • 4+ years of leadership and people management experience in a technology environment
  • 3+ years of experience implementing solutions with AWS, specifically data services (EC2, EMR, RDS, Redshift, Aurora-Postgres, Glue ETL, Lambda, SNS, SQS etc)
  • Knowledge of market trends including cloud technology
  • Demonstrated interest in learning about emerging data platforms and Big Data technologies
  • Expert working knowledge of Python programing language, SQL, and data modeling, with the ability to understand the context of a business question and build a holistic answer
  • Experience modeling data in a warehouse such as Snowflake, Redshift, and or BigQuery
  • Managed agile/scrum team(s) before of different skill levels and know when to be a motivator, coach, or a player
  • Strong communication, problem solving, and organizational skills
  • Must be detail oriented, quality driven, and able to shift quickly to new tasks

To view our total rewards offered click here —>
Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits. 

Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy. 

Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime.  We have implemented measures to deter and to uncover such unlawful conduct.  If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).

EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.

Other details

  • Pay Type Salary