New York Life is a 10,000+ person mutual insurer running a modernization program that reveals where the friction lies: they're replacing Tableau, SharePoint, and Redshift while adopting Databricks, dbt, and GenAI tools (OpenAI, Anthropic, LangChain, RAG). The hiring profile is heavily sales-driven (482 roles) with smaller, focused teams in engineering (99) and data (52), indicating a company optimizing for agent productivity and operational efficiency rather than building from scratch—pain points explicitly call out agent retention, underwriting modernization, and SOC efficiency.
Notable leadership hires: Field Content Lead, Talent Performance Lead, SAP FSCD Lead, Change Management Lead, Delivery Lead
New York Life is a privately held mutual insurance company offering life insurance, investments, retirement planning, and advisory services across North America. Operating for over 180 years, the company serves individual and institutional clients through a network of field agents and investment advisors. They operate as a mutual entity, meaning they are owned by policyholders rather than external shareholders. Current operational priorities include field development systems, underwriting modernization, and new business process workflows—supported by active projects in governance adoption, investment platform enhancements, and emerging technology pilots.
Core: AWS (Glue, Lambda, Step Functions, Redshift), Azure, Salesforce, Python, PySpark, dbt, SQL. Newer: Databricks, Vertex AI, OpenAI, Claude, Anthropic. Phasing out Tableau, SharePoint, OneDrive, Redshift.
New York, New York. Active hiring in the US, Canada, UK, Finland, India, Brazil, and Peru.
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