New York Life

HQ
New York
Total Offices: 5
12,000 Total Employees
Year Founded: 1845

Jobs at New York Life

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Recently posted jobs

20 Days AgoSaved
Hybrid
Westlake Village, CA, USA
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Supports onboarding and contracting for new insurance agents by advancing contracts, tracking background checks and fingerprints, reviewing documentation, resolving data gaps, communicating status updates, and processing system integration forms. Provides administrative support to the Managing Partner, including phone assistance, calendaring, and executive correspondence. Requires customer service or office administration experience, strong communication and organization, meticulous data entry, Microsoft 365 proficiency, discretion, and a compliance-focused mindset.
One Month AgoSaved
In-Office
Glendale, CA, USA
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Support a General Office by driving agent retention and production, implementing NYLIC University blended learning and NYL Central training, conducting field observations and development meetings, leading prospecting and sales initiatives, coaching and mentoring agents and partners, and ensuring effective use of the Field Development System to improve sales performance.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Provide onsite administrative and operational support to the Managing Partner and agents, serve as primary point of contact, manage AP/AR and onboarding tasks, handle mail and facility issues, coordinate meetings and resources, and perform additional office duties to ensure smooth daily operations and positive agent/client experiences.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Management-training role to prepare for General Office Operations Manager. Train in new-business administration, compliance, agent contracting/licensing, customer service, staff hiring/training, performance management, budgeting, and agent development. Completion of a 1–2 year structured program leads to eligibility for Operations Manager appointment.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Provide executive administrative and operational support to the Managing Partner and leadership team: manage calendars, travel, communications, recruiting coordination, onboarding, meetings, reports, dashboards, and operational initiatives while improving processes and ensuring high service to leaders, advisors, clients, and partners.
2 Days AgoSaved
Remote or Hybrid
California, USA
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads New York Life’s AI Center of Excellence across frontier AI provider relationships, AI software lifecycle standards, platform architecture, governance integration, talent acquisition, upskilling, and production delivery. Builds and manages West Coast AI engineering teams, evaluates emerging AI technologies, establishes scalable governance and engineering practices, and owns measurable business outcomes from enterprise AI solutions. Provides senior leadership coverage for West Coast partners and coordinates with Home Office leadership.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role involves providing advanced planning consultations, strategic support to agents, and developing marketing materials while requiring strong expertise in estate and tax law.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.