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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Product Insights Analyst - **Company:** New York, Inc. - **Location:** White Plains, NY, United States - **Experience:** Experienced - **Salary:** $189,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Performance Tuning, Software Product Management, SQL Databases, Visual Analytics, Large Language Models, Prompt Engineering, Generative AI, Information Technology, HuggingFace, Data Analytics, Api Design, Data Pipelines, Databricks - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=aef9b770944f74ff ## About the Role 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. ## Description 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. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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