Be part of a dynamic team shaping the future of talent at New York Life. As part of Human Resources, you'll contribute to a comprehensive strategy that attracts, develops and retains top talent. Whether it's identifying future leaders, crafting engaging learning experiences, enhancing offerings that support our people or fostering a workplace culture where everyone feels they belong, your work directly empowers individuals and fuels the company's growth. Join us and play a vital role in making New York Life an employer of choice for generations to come. About the Team The Skills Transformation team drives New York Life’s enterprise shift toward a skills-based talent model. The team supports job architecture, skills taxonomy and data, workforce enablement, learning strategy, and adoption of AI-enabled and data-driven tools (e.g., Eightfold, Sana). We partner across HR, Technology, and the business to ensure employees and leaders have clarity on roles, skills, and development pathways as work evolves — and that learning and enablement efforts translate into real capability uplift and adoption. Role Overview The Skills Transformation & Learning Program Coordinator – Senior Associate supports the execution and day-to-day delivery of enterprise skills and learning initiatives, including AI learning, job architecture enablement, and skills-based workforce programs. This role is execution-focused and highly cross-functional. It supports learning operations, instructional design, data analysis, and change execution across multiple workstreams — helping translate strategy into scalable, well-run programs. The role partners closely with Learning Operations, Change Management, HR teams, vendors, and technology partners to ensure initiatives are delivered effectively, insights are captured, and continuous improvements are made. The role operates under the direction of senior team members but is expected to proactively manage assigned workstreams, maintain strong execution discipline, and connect dots across learning, skills, and data.
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Job Type
Full-time
Career Level
Mid Level