Product Owner, Applied Intelligence

Avalon Healthcare Solutions is the nation’s leader in diagnostic intelligence, uniquely focused on transforming the role of diagnostic testing across the healthcare ecosystem. Our proprietary Diagnostic Insights Platform delivers evidence-based policies, curated lab networks, and real-time analytics that simplify complex diagnostics, accelerate innovation adoption, and optimize diagnostic investments. Supporting over 30 health plans and 100 million members nationwide, Avalon partners with payers and providers to ensure diagnostic testing is performed appropriately, efficiently, and at the right time. Our flexible solutions span routine and genetic testing management, automated adherence, and end-to-end diagnostics support—driving measurable value, reduced waste, and improved clinical outcomes. With unmatched scientific rigor, deep clinical expertise, and a performance-based model, Avalon is redefining how diagnostics power personalized care and healthcare value. You will be part of a team that shapes a new market and business. Most importantly, you will help Avalon to achieve its mission and improve clinical outcomes and health care affordability for the people we serve.

For more information about Avalon, please visit https://www.avalonhcs.com .

Avalon Healthcare Solutions is an Equal Opportunity Employer - Vet/Disability.

This position description is subject to change at any time. As determined by the company based upon business needs, an employee in this position may be required to perform duties and take responsibility for work other than as described in this document.

The Product Owner, Applied Intelligence is responsible for translating business needs into scalable, data-driven and AI-enabled product capabilities. This role sits at the intersection of product, data science, and engineering - owning the delivery of intelligent features, models, and automation that enhance decision-making, operational efficiency, and customer value.

This individual will actively engage business stakeholders across the organization to surface opportunities, shape priorities, and build shared understanding of AI/ML capabilities — while partnering with data scientists and engineers to bring use cases from concept to production in a reliable, compliant, and impactful way.