Lead Consultant for Product Analytics and AI Applications

Qualifications

• A Doctoral degree in Biostatistics, Statistics, Mathematics, Epidemiology, or a related field, along with a minimum of 10 years of experience in healthcare analytics or an equivalent combination of education and experience

Benefits

• We offer a comprehensive range of market-competitive total rewards, including merit increases, paid holidays, Paid Time Off, and incentive bonuses

• Additional benefits include medical, dental, vision, disability coverage, a 401(k) plan with a match, stock purchase options, life insurance, wellness programs, and financial education resources

Responsibilities

• Lead Consultant for Product Analytics and AI Applications

• This position requires associates to work in-office 1 - 2 days per week, fostering collaboration and connectivity while maintaining flexibility for productivity and work-life balance

• This role focuses on creating statistical models designed to predict, classify, quantify, and forecast business metrics, specifically product performance, ROI measurement, and the development of leading indicators

• This exciting role exists at the critical intersection of product analytics and applied AI, utilizing modern data platforms, APIs, and automation to deliver scalable, real-time insights that inform product strategy and drive financial outcomes for both the business and our members

• Pioneer innovative analytics and AI methods to transform traditional statistical approaches into adaptive decision intelligence that measurably improves product ROI, cost, quality, utilization, and member outcomes

• Prepare and manage analytical data sets that support modeling studies and evaluate product performance across clinical, operational, and financial dimensions

• Design, test, and validate statistical models and predictive frameworks to assess product ROI, financial impact, and utilization trends

• Develop and implement cutting-edge algorithms and predictive frameworks aimed at enhancing cost, quality, and member outcomes

• Collaborate with product and business leaders to convert data into actionable strategic recommendations and informed investment decisions

• Ensure data quality and maintain model performance across various analytics initiatives

• Continuously enhance analytical methodologies and improve predictive modeling algorithms to stay ahead of industry trends

• Work alongside business partners to identify key population segments and understand patterns in costs, quality, and utilization to inform targeted strategies

• Utilize AI/ML models and API-enabled tools to automate insight generation and enhance forecasting accuracy while scaling analytic workflows

• 10 more items(s)

More job highlights

Job description

Lead Consultant for Product Analytics and AI Applications

This position requires associates to work in-office 1 - 2 days per week, fostering collaboration and connectivity while maintaining flexibility for productivity and work-life balance.

We aim to create a dynamic and adaptable workplace environment.

Alternate locations may be considered if candidates reside within a reasonable commuting dist...ance from an office.

Please note: This position is not eligible for current or future visa sponsorship.

We are on the lookout for a Lead Consultant for Product Analytics and AI Applications to spearhead the development of advanced analytics and AI-driven insights that will shape our product strategy, improve financial performance, and enhance member outcomes.

This role focuses on creating statistical models designed to predict, classify, quantify, and forecast business metrics, specifically product performance, ROI measurement, and the development of leading indicators.

This exciting role exists at the critical intersection of product analytics and applied AI, utilizing modern data platforms, APIs, and automation to deliver scalable, real-time insights that inform product strategy and drive financial outcomes for both the business and our members.

Key Responsibilities:

• Pioneer innovative analytics and AI methods to transform traditional statistical approaches into adaptive decision intelligence that measurably improves product ROI, cost, quality, utilization, and member outcomes.

• Prepare and manage analytical data sets that support modeling studies and evaluate product performance across clinical, operational, and financial dimensions.

• Design, test, and validate statistical models and predictive frameworks to assess product ROI, financial impact, and utilization trends.

• Develop and implement cutting-edge algorithms and predictive frameworks aimed at enhancing cost, quality, and member outcomes.

• Collaborate with product and business leaders to convert data into actionable strategic recommendations and informed investment decisions.

• Ensure data quality and maintain model performance across various analytics initiatives.

• Continuously enhance analytical methodologies and improve predictive modeling algorithms to stay ahead of industry trends.

• Work alongside business partners to identify key population segments and understand patterns in costs, quality, and utilization to inform targeted strategies.

• Utilize AI/ML models and API-enabled tools to automate insight generation and enhance forecasting accuracy while scaling analytic workflows.

Minimum Qualifications:

• A Doctoral degree in Biostatistics, Statistics, Mathematics, Epidemiology, or a related field, along with a minimum of 10 years of experience in healthcare analytics or an equivalent combination of education and experience.

Preferred Skills and Experience:

• Advanced expertise in statistical modeling and machine learning using 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 data environments is highly desirable.

• Proven ability to construct robust analytical datasets and tackle data quality challenges that support predictive analytics and ROI evaluations.

• Demonstrated experience in the design, development, and improvement of complex healthcare data systems, tools, and reports is strongly preferred.

• A track record of presenting meaningful insights to a business audience.

• Excellent communication skills, with the capacity to translate complex analyses into actionable business insights.

• Strong collaborative and leadership skills are essential.

• An understanding of the commercial healthcare market's cost drivers and member experience is beneficial.

• Experience in applying AI/ML and APIs to automate insights and facilitate decision-making.

At Elevance Health, we are dedicated to improving lives and communities while simplifying healthcare.

As a Fortune 25 company with a rich history in the healthcare industry, we seek passionate leaders at all levels who want to make a positive impact on our members and the communities we serve.

We foster a culture that advances our strategic goals while also promoting personal and professional growth for our associates.

Our values and behaviors are the foundation of our culture, empowering us to achieve our strategy and drive success for our consumers, associates, communities, and business.

We offer a comprehensive range of market-competitive total rewards, including merit increases, paid holidays, Paid Time Off, and incentive bonuses.

Additional benefits include medical, dental, vision, disability coverage, a 401(k) plan with a match, stock purchase options, life insurance, wellness programs, and financial education resources.

As part of our commitment to health, we require all new candidates in certain member-facing roles to be vaccinated against COVID-19 and influenza, with exceptions made for valid medical reasons.

Elevance Health is proud to be an equal opportunity employer, ensuring equal consideration for all qualified applicants, regardless of age, nationality, color, creed, disability, ethnicity, genetic information, gender identity, marital status, national origin, race, religion, sex, sexual orientation, veteran status, or any other condition protected by law.

We welcome applicants who require accommodations during the hiring process to contact us for support.

Qualified applicants with prior arrest or conviction records will be considered for employment in accordance with all applicable laws.

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