Senior Product Analytics & Ai Consultant

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 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. Prepare 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. Own data quality and model performance. Continuously improve analytical methodologies and predictive modeling algorithms. Collaborate 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 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. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. #J-18808-Ljbffr