at Manatt, Phelps & Phillips in Chicago, Illinois, United States
Job Description
Brief Description:
Manatt Health integrates legal and consulting expertise to better serve the complex needs of clients across the healthcare system. Combining legal excellence, first-hand experience in shaping public policy, sophisticated strategy insight, and deep analytic capabilities, we provide uniquely valuable professional services to the full range of health industry players. Our diverse team of more than 280 attorneys and consultants from Manatt, Phelps & Phillips, LLP and its consulting subsidiary, Manatt Health Strategies, LLC, is passionate about helping our clients advance their business interests, fulfill their missions, and lead healthcare into the future. For more information, visit https://www.manatt.com/Health.
Position Overview
Manatt Health is seeking a Manager to join its growing Healthcare Analytics team. This role is ideal for a professional with hands-on experience conducting quantitative analyses using Medicaid, Medicare, and other real-world healthcare data who is equally interested in applying quantitative insights to broader healthcare policy, strategy, and consulting engagements.
The successful candidate will bring expertise in Medicaid and Medicare claims data analysis, strong quantitative modeling capabilities, and a deep understanding of U.S. healthcare policy, particularly Medicaid program design and financing. In addition to analytics, the Manager will be expected to provide project management, research, deck development and solutioning support on non-analytic, strategic consulting engagements across the practice including Medicaid and Medicare policy, health system strategy, life sciences market access, health data strategy and enterprise redesign, payment and delivery system transformation, and coverage and reimbursement strategies.
This individual will contribute to client-facing analyses, financial forecasting models, and emerging AI-enabled analytics solutions while serving as a project manager, thought partner, and mentor within a nationally recognized healthcare consulting practice.
Key Responsibilities
Data Analytics & Modeling
- Conduct quantitative analyses using Medicaid, Medicare, commercial claims, hospital cost report, and other public or proprietary datasets to address client policy, business, and research questions.
- Identify appropriate data sources and methodologies based on project objectives, scope, timing, and budget.
- Build and support the management of complex analytical and financial models, integrating data from multiple sources, to inform policy evaluation, forecasting, program design, and business decision-making.
- Develop assumption-driven forecasting models, including revenue, expense, and policy scenario analyses, and support Medicare and Inflation Reduction Act-related analyses.
- Define analytical approaches, interpret findings, and translate complex results into actionable client insights.
- Write, review, and maintain high-quality Python, SAS, and/or SQL code to analyze large-scale healthcare datasets, leveraging AI-assisted tools where appropriate.
- Conduct statistical analyses, including regression modeling and other quantitative methods.
- Support data governance, quality assurance, and programming best practices, including version control and development environment management.
- Manage data acquisition processes and data use agreements as needed.
