Senior Manager

EXL

17h•Remote

About The Position

This role requires a mix of problem solving, technical skills and project management. It requires expertise in all of technologies like SAS, R, PYTHON, SQL, Hive, GCP and Hadoop including good understanding of Big Data processing, Model development / validation with visualization, presentation and collaboration skills. Set up proper access controls, encryption and compliance measures for sensitive data during the migration process following GCP’s best practices. Adhere to healthcare regulations like HIPAA when migrating data to GCP, ensuring that security and privacy standards are met. Document the migration process including steps taken, issue encountered, and solutions implemented. Provide comprehensive guides on the new workflows and GCP environment. Provide training to team members or end user on how to use GCP analytics tools and transition from SAS/ R / SPSS / Hive / SQL environment to GCP based systems. Works closely with data engineers, data scientists, system architects and cloud engineers to ensure smooth migration process. Communicate progress, risks and issues with key stakeholders throughout the migration project ensuring they are informed and aligned. Showcase high level analysis using different dashboards using Tableau or Power BI tools. After migration, monitor the system’s performance and continuously look for areas to optimize cost wise or overall query performance. Stay updated with GCP advancements and new services, applying relevant updates and best practices to improve the overall analytics environment. Handle any issues that arise during the migration process, including data discrepancies or incompatibility between SAS/ R / SPSS / Hive / SQL as compared with GCP tools. Will require up to 10% travel within the U.S. to client sites and other EXL offices. Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.

Requirements

Expertise in all of technologies like SAS, R, PYTHON, SQL, Hive, GCP and Hadoop including good understanding of Big Data processing, Model development / validation with visualization, presentation and collaboration skills

Responsibilities

Problem solving
Technical Skills
Project Management
Set up proper access controls, encryption and compliance measures for sensitive data during the migration process following GCP’s best practices
Adhere to healthcare regulations like HIPAA when migrating data to GCP, ensuring that security and privacy standards are met
Document the migration process including steps taken, issue encountered, and solutions implemented
Provide comprehensive guides on the new workflows and GCP environment
Provide training to team members or end user on how to use GCP analytics tools and transition from SAS/ R / SPSS / Hive / SQL environment to GCP based systems
Works closely with data engineers, data scientists, system architects and cloud engineers to ensure smooth migration process
Communicate progress, risks and issues with key stakeholders throughout the migration project ensuring they are informed and aligned
Showcase high level analysis using different dashboards using Tableau or Power BI tools
After migration, monitor the system’s performance and continuously look for areas to optimize cost wise or overall query performance
Stay updated with GCP advancements and new services, applying relevant updates and best practices to improve the overall analytics environment
Handle any issues that arise during the migration process, including data discrepancies or incompatibility between SAS/ R / SPSS / Hive / SQL as compared with GCP tools