AI Product Insights Analyst

Duties: Design, implement, and operationalize GenAI-enabled analytical frameworks to enhance personalization, automation, and decision intelligence. Develop and maintain data models and transformation pipelines using DBT, Databricks, and Python, focusing on scalability, reproducibility, and performance optimization. Conduct feature attribution and ROI modeling to quantify 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.

Education & Experience Requirements: Master’s degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Insights Analyst/Engineer, Strategic Insights Analyst/Engineer, Service Analytics Associate, or related occupation, designing AI analytics, applied machine learning, or data-driven product strategy; or, alternatively, Bachelor’s degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Insights Analyst/Engineer, Strategic Insights Analyst/Engineer, Service Analytics Associate, or related occupation, designing AI analytics, applied machine learning, or data-driven product strategy. Prior experience must include the following skills (quantitative experience requirement not applicable to this section): developing data models using Python, SQL, DBT, Databricks, and data pipeline orchestration tools; working with Generative AI frameworks, including LangChain, OpenAI API, or Hugging Face Transformers for prompt optimization; performing predictive modeling, causal inference, and ROI estimation; presenting complex technical concepts to executives through compelling data narratives; and delivering strategic differentiated solutions at enterprise scale cross-domains, including marketing, sales, finance, and service. Eligible for Employee Referral Program. To apply, visit https://jobs.newyorklife.com/ and search job title.

Pulled from the full job description Loan repayment program Referral program Adoption assistance, Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

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As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it., At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.

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