- As a leader in serving patients, the Patient Assistance Foundation (NPAF) Inc. is a key resource for patients who may not be able to afford their Client medication.
- This role will oversee the overall analytics support required to effectively operate the foundation operations.
- The Associate Director, NPAF Analytics is a key role, reporting to the Executive Director, NPAF is responsible for overseeing reporting, analysis, and impact of the Patient Assistance Foundation.
- This individual must possess strong communication skills to create and present results of complex analyses in a clear and actionable manner.
Responsibilities:
Your responsibilities will include, but are not limited to:
- Strong understanding of Patient Assistance Program (PAP) journey, payer and policy landscape.
- Collaborate with others on the team to establish operational metrics, KPIs and useful statistics, identify trends and oversee the production of operations dashboard that provides visibility into performance.
- Collaborate with vendor data teams to develop and refine dashboards, perform ad-hoc analysis and manage data quality standards.
- Perform monthly, year-to-date and full-year product inventory forecasting and variance analysis.
- Perform workforce forecasting and optimization.
- Manage NPAF operating budget and actuals - identify, monitor and explain variances.
- Create and manage POs; perform monthly accruals and invoice reconciliations.
- Compile data needed for PAP annual reporting for internal and external stakeholders.
- Complete ad hoc data requests accurately and in a timely manner
- Lead weekly data vendor dashboard(s) review sessions with the Client and vendor teams - identify trends and data anomalies.
- Support decision making via a disciplined, hypothesis-driven approach and shape the findings into leadership presentations highlighting key actions.
- Support operational effectiveness by creating root-cause analysis into programs and summarizing recommendations for NPAF leadership.
- Collaborate with other functional groups at the Client for data requests.
Leadership Competencies:
- Leadership, problem solving and decision making.
- Analytical thinking, communication /teamwork, planning and organizing.
- Identifying process improvement opportunities.
- Agility and Curiosity.