
Jason Altieri
Jason Altieri is a healthcare analytics consultant with Milliman’s Health Practice. He joined the firm in September 2024 and specializes in value-based care design and performance evaluation for provider and payer organizations.
Experience
Jason has extensive experience in healthcare analytics, value-based care, and product development. He has worked across various leadership roles, driving analytics strategy, financial projections, and data science implementation to support strategic decision-making.
Prior to rejoining Milliman, Jason served as Vice President of Oncology Intelligence & Analytics at McKesson, where he led a team of 30+ analysts and data scientists supporting sales, marketing, clinical decisions, and strategic initiatives. During his tenure, he spearheaded the implementation of an Azure Databricks platform and advanced analytic products through data science and machine learning applications. In previous roles at McKesson, Jason led payer analytics, value-based care strategy, and product management functions, overseeing analytics teams that developed novel payment arrangements and streamlined contract evaluation processes. His leadership in sales and marketing analytics helped reduce ad-hoc requests by 80% through the development of a Tableau product portfolio.
Jason also held key positions at Milliman earlier in his career, serving as director of product management and senior data science product manager. He played a pivotal role in Medicaid quality measure reporting and data engineering by managing client implementations and overseeing analytics development. His experience extends to actuarial analysis, where he supported consulting projects focused on accountable care organizations and value-based contracts, leveraging SQL, SAS, and Python for cost and utilization reporting.
- Altieri, Jason. "Introduction to Distributed Computing." Society of Actuaries Technology Section Newsletter, April 2018.
- Altieri, Jason. "Machine Learning for High-Risk Patient Identification." Milliman White Paper, April 2018.
- "Hidden Bias: Identifying Unintended Consequences in Machine Learning." Society of Actuaries Webcast, 2020.
- "Leveraging Machine Learning to Predict Healthcare Costs." Society of Actuaries Webcast, 2020.
- "Data Challenges in Shared Risk Arrangements." Society of Actuaries Annual Meeting, 2018.
- "Population Management for Managed Medicaid." Society of Actuaries Annual Meeting, 2017.
- "Predictive Analytics ASOPs: Modeling and Setting Assumptions." Society of Actuaries Annual Meeting, 2017.
- Associate, Society of Actuaries
- Member, American Academy of Actuaries
- MS, Financial Engineering, The State University of New York at Buffalo
- BS, Financial Information and Analysis (Honors), Clarkson University
- Pragmatic Certified Product Manager & Marketer
- Aetion Replica Synthetic Data Certification