About the role

Design and operationalize GenAI-enabled analytical frameworks to enhance personalization and decision intelligence. Lead prompt engineering and fine-tuning efforts for LLMs while collaborating with cross-functional teams to measure AI-integrated product impact.

What they look for

GenAI Python SQL DBT Databricks Data modeling Prompt engineering LLMs Predictive modeling Causal inference ROI estimation Data visualization Machine learning Data pipeline orchestration Strategic insights

Requirements

Requires a Master's degree with three years of experience or a Bachelor's degree with five years of experience in data analytics or related quantitative fields. Candidates must demonstrate proficiency in Python, SQL, DBT, Databricks, and Generative AI frameworks.

Benefits

Leave programs Adoption assistance Student loan repayment programs

Full description

Job Requisition ID: 94551

Location Designation: Fully Onsite

Location: 44 South Broadway, White Plains, New York 10601

Offered Wage: $189,000.00/year - $230,000.00/year

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.

Pay Transparency

Overtime eligible: Exempt

Discretionary bonus eligible: No

Sales bonus eligible: No

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.

Company Overview

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.

Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.

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.

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion 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.

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.