Senior Director of Medical Economics and Data Science

Summary

Join Belong Health as a Senior Director of Medical Economics & Data Science to lead the development and execution of data-driven strategies to optimize healthcare cost management, enhance patient outcomes, advance health equity, and support business growth.

Requirements

• Minimum of 6+ years of experience in healthcare analytics, health services research, medical economics, or a related field, with at least 3-5 years in a leadership role
• Proven track record of applying advanced analytics and machine learning techniques to solve complex healthcare problems
• Experience working with Medicare claims, clinical data, and large population health datasets
• Experience working in managed care and ACO/CMMI programs
• Proficiency in data science tools such as Python, R, SQL, and machine learning libraries
• Strong experience with data visualization and reporting tools (e.g., Tableau)
• Expertise in predictive modeling, statistical analysis, and machine learning algorithms
• Knowledge of cloud-based data warehouse structure (e.g. AWS, Snowflake, etc.)
• Strong leadership skills with experience building and managing cross-functional teams
• Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical stakeholders
• Demonstrated ability to drive organizational change through data-driven decision-making

Responsibilities

• Lead and oversee the development of analytical frameworks and models to assess healthcare utilization, costs, and outcomes
• Establish the vision, strategy, and roadmap for integrating machine learning and advanced analytics into medical economics initiatives
• Serve as a subject matter expert in data science methodologies, providing guidance on applying predictive analytics and AI techniques to complex healthcare data
• Analyze large datasets (e.g., Medicare claims, EMR, population health) to identify trends, cost drivers, and opportunities for intervention
• Design and implement machine learning models to predict risk and healthcare utilization patterns
• Collaborate with actuarial teams on financial performance and profitability of products and services
• Ensure scalability and accuracy of data pipelines, models, and analytics processes across the organization
• Partner with data engineering and IT teams to establish efficient data governance practices and to ensure access to reliable, high-quality data
• Work closely with senior leadership to translate complex data insights into actionable business recommendations
• Collaborate with clinical teams to align analytics efforts with population health management, patient care improvement, and clinical efficiency goals
• Present findings and strategic insights to stakeholders at all levels of the organization, ensuring alignment with company goals
• Prioritize and sequence work to meet dynamic needs of our rapidly growing business
• Lead and mentor a high-performing team of data scientists, economists, and analysts
• Foster a culture of continuous learning and innovation, staying at the forefront of developments in machine learning, healthcare economics, and data science.Other duties as assigned

Preferred Qualifications

• Knowledge of healthcare economics, actuarial analysis, and risk adjustment
• Experience with conducting health services research and publishing peer-reviewed analyses