New York Life’s Finance team helps support the company’s long-term financial strength through planning, analysis, reporting and strategic decision-making. Team members work across areas such as accounting, financial planning, expense management and business finance, partnering with leaders throughout the organization. Employees can also build broader experience through mentorship, leadership development, learning programs and opportunities to move across finance functions as their careers grow.
New York Life Insurance Company
Teams at New York Life Insurance Company
New York Life Insurance Company Finance Team
Artificial Intelligence & Data
New York Life’s Artificial Intelligence & Data (AI&D) team uses data, machine learning and AI to improve decisions and experiences across the company. The team brings together data scientists, AI and machine learning engineers, product managers and data specialists who work with business and technology partners to develop enterprise AI and data products. Current work spans predictive analytics, generative and agentic AI, data platforms, model governance and responsible AI, with applications designed to improve efficiency and support clients, agents and employees.
Client Services
New York Life’s Client Services team supports both the company’s financial professionals and its policy owners, helping people navigate products, transactions and service needs throughout the customer relationship. Team members work across areas such as policy and account support, issue resolution, transaction processing and institutional client service, often partnering with operations, sales and other internal teams. The work combines relationship-building with detailed product knowledge, accuracy and responsiveness, with training and coaching designed to help employees build expertise and grow within service-focused roles.
Technology
New York Life’s Technology team builds and maintains the digital systems that support policy owners, agents, advisors and employees. Software engineers work across areas such as application development, cloud platforms, DevOps, enterprise architecture and emerging AI-enabled products. As part of the broader Technology, Data, AI & Ventures organization, the team focuses on modernizing core systems, building secure and scalable platforms and turning new technologies into practical tools that improve how the company operates and serves customers.
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Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads the strategy, design, structuring, and execution of insurance investment solutions across asset classes, vehicles, and global markets. Partners with insurance portfolio teams, affiliate investment managers, distribution, legal, tax, compliance, operations, and product functions. Develops customized structures such as rated feeders, collateralized fund obligations, secondaries, credit insurance solutions, and insurance-dedicated funds while applying insurance accounting, capital, liquidity, and regulatory expertise.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Supports insurance agents, clients, and management through the life insurance new business process. Provides customer service, coordinates underwriting requirements, manages application workflows, assists with policy billing and accounting entries, processes service requests, and answers calls. The role requires strong administrative, communication, multitasking, and Microsoft Office skills, with on-the-job training in insurance products and transaction processing.
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Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Provides executive technology leadership for New York Life’s financial modeling domain, owning strategy, architecture, applications, data, analytics, AI, engineering, controls, and production readiness. Leads modernization across capital planning, NII modeling, driver-based modeling, and scenario analysis. Builds multidisciplinary teams, manages strategic partners, shapes investments and roadmaps, and partners with Finance, Technology, Architecture, Risk, and business stakeholders to deliver scalable enterprise capabilities and measurable outcomes.
