Senior Associate - AI Product Insights Analyst

New York Life•New York, NY

48d•$124,000 - $177,000•Hybrid

About The Position

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success. At New York Life, the Strategic Insights team operates at the intersection of artificial intelligence, data science, and enterprise strategy. We are redefining how insights and automation drive decision-making in a highly regulated financial ecosystem. The AI Product Insights Analyst will design and deploy next-generation analytics capabilities that integrate predictive modeling, GenAI applications, and large-scale data engineering. This role is uniquely positioned to translate technical innovation into measurable business impact through AI-driven experimentation, model explainability, and precision targeting strategies.

Requirements

Master’s degree in Data Science, Computer Science, Applied Mathematics, or related quantitative discipline.
3+ years of experience in AI analytics, applied machine learning, or data-driven product strategy, preferably in the Life Insurance space
Advanced proficiency in Python, SQL, DBT, Databricks, and data pipeline orchestration tools.
Proven experience with Generative AI frameworks (e.g., LangChain, OpenAI API, Hugging Face Transformers) and prompt optimization for enterprise use.
Strong foundation in predictive modeling, causal inference, and ROI estimation.
Demonstrated ability to work within highly secure and compliant data environments, integrating responsible AI practices.
Exceptional ability to communicate complex technical concepts through compelling data narratives and executive presentations.
Proven track record of delivering strategic differentiated solutions at enterprise scale cross-domains such as Marketing, Sales, Finance and Service

Responsibilities

Design, implement, and operationalize GenAI-enabled analytical frameworks that enhance personalization, automation, and decision intelligence.
Develop and maintain data models and transformation pipelines using DBT, Databricks, and Python, with a focus on scalability, reproducibility, and performance optimization.
Conduct feature attribution and ROI modeling to quantify the business value of AI features and inform enterprise prioritization.
Lead prompt engineering and fine-tuning efforts for LLMs designed for financial services applications, ensuring accuracy, compliance, and ethical AI standards.
Collaborate with data scientists, engineers, and business leaders to design AI-integrated product strategies and measure their impact through advanced experimentation frameworks.
Deliver high-fidelity visual analytics and executive storytelling, synthesizing model results and behavioral insights into actionable strategic recommendations.