Global insurance and investment firm modernizing legacy systems toward cloud analytics
Sun Life operates a decades-old financial services stack spanning COBOL, FoxPro, and SQL Server alongside newer AWS data infrastructure (Redshift, Athena, Glue, Lambda). The adoption pattern—Tableau, SAP S/4HANA, React, TypeScript—reveals an active migration from monolithic processing toward cloud-native analytics and modern web frontends. Hiring is sales-heavy (188 roles) but engineering and data teams are moving (63 and 45 roles respectively), suggesting infrastructure modernization work is underway to support claims processing, advisor onboarding, and data lakehouse initiatives.
Notable leadership hires: Area Sales Head, Medical Director, Planning Director, Financial Planning Director, Chief Financial Officer
Sun Life is a multinational insurance and investment provider serving customers across Canada, the United States, the United Kingdom, Hong Kong, the Philippines, Indonesia, Vietnam, and Malaysia. The organization operates a global workforce of over 34,000 employees and 112,900 advisors. The company delivers life insurance, health insurance, and investment products to retail and institutional clients. Current operational focus areas include advisor-led distribution channels, claims processing (particularly disability), financial planning capabilities, and expansion into health and wellness services.
Core systems include Java, COBOL, FoxPro, SQL Server, and Oracle SQL. Cloud infrastructure: AWS (Redshift, Athena, Glue, Lambda, SageMaker, Bedrock). Modern development: React, TypeScript, Python, PySpark. Tools: Salesforce, Jira, Confluence, Bloomberg, Tableau.
Key initiatives: advisor onboarding program, system renewal, data lakehouse, remote second opinion program, claims processing efficiency improvements, process automation for accounts receivable and billing, and sales process streamlining.
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