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About the Role

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.

Responsibilities

Design, implement, and operationalize GenAI-enabled analytical frameworks
Enhance personalization, automation, and decision intelligence
Develop and maintain data models and transformation pipelines using DBT, Databricks, and Python
Focus on scalability, reproducibility, and performance optimization
Conduct feature attribution and ROI modeling
Quantify business value of AI features
Inform enterprise prioritization
Lead prompt engineering and fine-tuning efforts for LLMs
Ensure accuracy, compliance, and ethical AI standards for LLMs
Collaborate with data scientists, engineers, and business leaders
Design AI-integrated product strategies
Measure the impact of AI-integrated product strategies through advanced experimentation frameworks
Deliver high-fidelity visual analytics and executive storytelling
Synthesize model results and behavioral insights into actionable strategic recommendations

Requirements

Master’s degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline (or foreign 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
Alternatively, Bachelor’s degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline (or foreign 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
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
Delivering strategic differentiated solutions at enterprise scale cross-domains, including marketing, sales, finance, and service

Skills

Python
SQL
DBT
Databricks
Data pipeline orchestration tools
Generative AI frameworks
LangChain
OpenAI API
Hugging Face Transformers
Prompt optimization
Predictive modeling
Causal inference
ROI estimation
Data storytelling
Enterprise scale solutions

Location

44 South Broadway, White Plains, New York 10601

Work Type

Fully Onsite

Experience Level

3 years with Master's degree
5 years with Bachelor's degree

Education Level

Master’s degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline
Bachelor’s degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline

Salary/Compensations

$189,000.00/year - $230,000.00/year

Benefits

Leave programs
Adoption assistance
Student loan repayment programs

About the Company

At New York Life, our 180-year legacy of purpose and integrity fuels our future.
We are evolving into a more technology-, data-, and AI-enabled organization, while remaining grounded in values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities.
We offer a rare balance of long-standing stability and forward momentum.
We are a Fortune 100 mutual company.
We offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter.

Equal Opportunity

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.
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.
Due to our mutuality, we operate in the best interests of our policy owners.