Senior Product Analytics & AI Consultant

Anticipated End Date:

2026-08-31

Position Title:

Senior Product Analytics & AI Consultant

Job Description:

Senior Product Analytics & AI Consultant

Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

PLEASE NOTE: This position is not eligible for current or future visa sponsorship.

We are seeking a Senior Product Analytics & AI Consultant (Advanced Analytics Consultant Senior) to lead the development of advanced analytics and AI-driven insights that shape product strategy, financial performance, and member outcomes. The Senior Product Analytics & AI Consultant creates statistical models to predict, classify, quantify, and/or forecast business metrics with a focus on product performance, ROI measurement, and a leading indicator development.

This role sits at the intersection of product analytics, and applied AI. Leveraging modern data platforms, APIs, and automation to deliver scalable, real-time insights that inform product strategy and financial outcomes for the business and employers.

How You Will Make an Impact:

• Pioneer next‑frontier analytics and AI (e.g., agentic/LLM‑enabled workflows and real‑time modeling) to reimagine traditional statistical approaches into adaptive decision intelligence that measurably improves product ROI, cost, quality, utilization, and member outcomes
• Prepares analytical data sets in support of modeling studies and product performance evaluation across clinical, operational, and financial dimensions.
• Build, test, and validate statistical models and predictive frameworks to assess product ROI, financial impact and utilization trends.
• Develop and implement innovative algorithms and predictive frameworks to improve cost, quality, and member outcomes. 
• Partner with product and business leaders to translate data into strategic recommendations and investment decisions
• Owns data quality and model performance. 
• Continuously improves analytical methodologies and predictive modeling algorithms. 
• Collaborates with business partners to identify key population segments and uncover patterns across cost, quality, and utilization to inform targeted strategies.
• Leverage AI/ML models and API-enabled tools to automate insight generation, enhance forecasting accuracy and scale analytic workflows.

Minimum Requirements:

• Requires Doctoral degree in Biostatistics, Statistics, Mathematics, Epidemiology or equivalent training and mastery and a minimum of 10 years experience in related health care analytics; or any combination of education and experience which would provide an equivalent background.   

Preferred Skills, Capabilities, & Experiences:

• Advanced expertise in statistical modeling and machine learning using tools such as Python, R, or SAS.
• Intermediate to Advanced knowledge of Teradata, SQL, SQL Server, or equivalent cloud-based data platforms (e.g., Snowflake, Databricks).
• Experience building analytics solutions in cloud-based data environments.
• Proven ability to design robust analytical datasets and address data quality challenges to support predictive analytics, product performance measurement, and ROI evaluation. 
• Demonstrated experience in managing the design, development, and continuous improvement of complex healthcare data systems, tools, and reports strongly preferred. 
• Proven ability to present meaningful results to a business audience. 
• Strong communication skills with the ability to translate complex analyses into business insights
• Demonstrated leadership and cross-functional collaboration skills.
• Understanding of the commercial health care market cost drivers, and member experience.
• Experience applying AI/ML and APIs to automate insights and support decision-making.

Job Level:

Non-Management Exempt

Workshift:

1st Shift (United States of America)

Job Family:

RDA > Reporting & Data Analysis

Please be advised that Elevance Health only accepts