Global insurance and financial services company modernizing legacy systems with cloud and AI
MetLife operates a large, distributed insurance and financial services business built on decades-old infrastructure (DB2, AIX, mainframes) while actively migrating to cloud (Azure, AWS) and adopting modern data tooling (Databricks, Informatica MDM, React Native). Active hiring across sales (135 roles), engineering (126), and data (50) combined with projects around AI integration, pricing model development, and data governance signals a company mid-transformation—moving from legacy operational systems toward automated, data-driven product and claims workflows.
Notable leadership hires: Sales Team Lead, Client Service Director, Data Analytics Lead, Project Lead, Chief Architect
MetLife is a public financial services company providing insurance, annuities, employee benefits, and asset management globally. Founded in 1868, it maintains leading market positions across the United States, Japan, Latin America, Asia, Europe, and the Middle East. The organization employs over 10,000 people and operates in more than 40 markets. Current priorities include simplifying customer experiences, developing flexible products, and introducing new service offerings to meet evolving customer needs. Active hiring spans sales, engineering, operations, and data roles across 25 countries, with particular density in the United States, India, and Latin America.
MetLife runs a hybrid infrastructure: legacy systems (DB2, AIX, Unix), Microsoft platforms (Azure, Teams, Office), and modern data tools (Databricks, Synapse Analytics, Azure Data Factory, Python). Currently adopting AWS, Terraform, and Informatica MDM while replacing PeopleSoft.
Active projects include AI integration into applications, pricing model development, data governance implementation, claim handling optimization, and modernization of legacy systems. Pain points center on data integrity, process inefficiencies, cost targets, and enterprise-wide compliance.
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