Generative AI_Compensation Data Modernization with AWS DevOps & Cloud Operations
About the Customer
The customer is one of the leading mutual life insurance providers in the United States, serving individuals, families, and businesses for well over a century. The company offers a broad portfolio of life insurance, disability income insurance, dental and vision benefits, annuities, and investment solutions while maintaining a strong commitment to financial stability, customer experience, and operational excellence.
As part of its digital transformation strategy, the customer’s benefits business initiated the development of a centralized Group Compensation Data Hub (GCDH) to modernize its compensation processing ecosystem — consolidating data from multiple legacy systems into a scalable, cloud-native platform capable of supporting standardized compensation processing, enterprise reporting, operational governance, and future business growth.
The Challenge
The customer’s compensation distribution landscape relied on multiple legacy applications and data sources that independently generated compensation information for brokers and internal sales organizations. This fragmented architecture increased operational complexity, introduced technical debt, and made consistent compensation processing, reporting, and governance difficult to maintain.
The organization required a centralized platform capable of consolidating more than 300 compensation-related data elements from multiple enterprise systems into a single source of truth — supporting inbound data ingestion, standardized transformation pipelines, integration with Varicent ICM for broker compensation calculations, and generation of standardized outbound datasets for downstream business applications.
Beyond modernizing data processing, the customer required automated deployment workflows, version-controlled development, workload scheduling, centralized monitoring, operational governance, auditability, and resilient cloud infrastructure capable of supporting future compensation programs while reducing operational overhead.
The Solution
- Centralized Compensation Data Hub — the Group Compensation Data Hub (GCDH) on AWS consolidates compensation data using a scalable, metadata-driven architecture built on Amazon S3.
- Medallion Data Architecture — Bronze, Silver, and Gold layers standardize data ingestion, validation, transformation, reconciliation, and publishing across inbound, outbound, and downstream pipelines.
- Databricks Processing & Varicent Integration — Databricks workspaces within a secured Amazon VPC handle transformation, validation, reconciliation, and Delta Lake processing, with automated Varicent ICM compensation calculations.
- DevOps Automation — GitHub source control, Jenkins CI/CD pipelines, metadata-driven pipeline development, automated testing, and Control-M orchestration for scheduled workloads.
- Cloud Operations Excellence — centralized monitoring with Amazon CloudWatch, audit logging via AWS CloudTrail, Multi-AZ resilience, scalable Amazon S3 storage, and operational KPI visibility for reliable day-2 operations.
- Measurable Outcomes — a single source of truth across 300+ data elements, automated end-to-end compensation processing, reduced cycle times, and lower technical debt.
Download the Case Study Document
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