VP Analytics

Wellbe Senior Medical•Chicago, IL

7d•Remote

About The Position

The VP Analytics will lead the development and execution of a comprehensive analytics strategy to drive improvements in patient outcomes, operational efficiency, and financial performance across the organization. This senior leader will oversee healthcare economics analysis including cost-of-care, utilization trends, risk adjustment, and value-based payment models while supporting performance evaluation for ACOs, capitation, and shared savings arrangements. The role requires leading provider organization analytics focused on performance metrics, care delivery models, clinical variation, and quality improvement, as well as directing population health strategy including SDOH and behavioral health analysis.

Requirements

Advanced proficiency in SQL, Tableau, and Snowflake; experience with enterprise reporting tools.
Working knowledge of Python or R for statistical modeling and automation.
Deep understanding of CMS programs (Medicare Advantage, Medicaid) and HCC risk adjustment methodologies.
Experience with statistical modeling, forecasting, and predictive analytics.
Experience implementing advanced statistics (including regression, classification, clustering, hypothesis testing), advanced analytics, and predictive modeling techniques in the healthcare industry
Strong communication skills with the ability to translate complex data into strategic insights for non-technical audiences.
Proven ability to lead cross-functional projects and influence decision-making at the executive level.
High level of ownership, initiative, and attention to detail.
Bachelor’s/Master’s or PhD in Health Economics, Public Health, Statistics, Data Science, or related field.
10+ years of progressive experience in healthcare analytics, with at least 7 years in a leadership role.
Deep understanding of integrating medical economics, provider reimbursement models, quality, and clinical insights and regulatory frameworks to drive measurable outcomes.
Proven experience working with provider organizations, health systems, or integrated delivery networks.
Strong understanding of risk/value based provider arrangements and value based benefits.
Extensive experience working with medical and pharmacy claims, risk adjustment, and value-based care data.
Strong understanding of healthcare reimbursement models (FFS, capitation, shared savings, risk contracts).
Expertise in tools such as SQL, Python, Tableau/Sigma, and cloud-based data platforms.
Strong communication, leadership, and change management skills.
Demonstrated ability to lead and mentor teams, and drive strategic initiatives.
Excellent problem-solving, interpersonal, and stakeholder management skills.

Nice To Haves

Experience with Medicare Advantage, Medicaid, and commercial payer analytics.
Experience with CMS programs, HEDIS, Risk adjustment , STARS, and NCQA measures.
Prior involvement in value based care, population health, care management, or clinical integration initiatives.
Promote data governance, security, and compliance across all analytics workflows.
Strong sense of ownership, bias for action, and drive
Strong verbal and written communication
Excellent analytical and problem-solving skills
Strong work ethic and attention to detail

Responsibilities

Develop and execute a comprehensive analytics strategy aligned with organizational priorities.
Lead cross-functional teams to deliver actionable insights that improve patient outcomes, operational efficiency, and financial performance.
Serve as a strategic advisor by translating complex analytics into actionable business insights.
Build and mentor a high-performing analytics organization; foster a culture of data-driven decision-making across clinical and operational teams.
Lead analysis of cost-of-care, utilization trends, risk adjustment, and payment models.
Support contracting and performance evaluation for value-based arrangements (e.g., ACOs, capitation, shared savings).
Oversee the creation and tracking of performance scorecards and financial metrics to optimize segment outcomes.
Drive analytics related to provider performance, care delivery models, clinical variation, and quality metrics.
Partner with medical leadership to identify opportunities for improvement and innovation.
Direct population health strategy, including analysis of Social Determinants of Health (SDOH) and behavioral health trends.
Guide patient and care management strategies using data-driven insights to improve engagement and outcomes.
Integrate analytical models and predictive tools to inform program design and measurement.
Ensure the stability, scalability, and continuous improvement of the enterprise BI platform (e.g., Tableau reporting portal), including governance of content, performance optimization, and alignment with organizational reporting standards.
Champion the use of advanced analytics, predictive modeling, and machine learning where appropriate.
Implement robust metadata management and data lineage practices to support auditability and trust in analytics.
Serve as a trusted advisor to leadership, clinical teams, and operational leaders.
Translate complex data into compelling narratives and visualizations for diverse audiences