POSITION - Associate Director, Program Evaluations
LOCATION: Remote
SUMMARY
We are in search of talented individuals who are interested in a leadership position healthcare analytics and data science as an Associate Director, Program Evaluations in Data Science & Advanced Analytics (DSAA) division.
DESCRIPTION
The Associate Director, Program Evaluations plays a critical role in assessing the impact and effectiveness of Medicaid programs. The successful candidate will lead statistical analyses to evaluate the quality, access, timeliness, and cost-effectiveness of care resulting from these programs. As an expert in program evaluation, this position will employ both quantitative and qualitative methods to draw meaningful conclusions and inform decision-making. This includes evaluating programs across four primary domains:
- Quality of Care: Assessing patient outcomes, safety, and satisfaction.
- Access to Services: Analyzing changes in utilization and access barriers.
- Timeliness of Care: Investigating wait times and appointment scheduling.
- Cost-Effectiveness: Estimating cost savings and return on investment.
The Associate Director, Program Evaluations will lead work that involves (but not limited to) a wide array of different healthcare data types:
- medical and prescription drug claims and encounters
- eligibility
- demographic
- survey
- medical record
- registry
- vital statistics
- financial
Additionally, this position manages multiple large-scale and high-profile healthcare analytic projects through various stages including implementation, day-to-day management, budgeting, forecasting, analysis, and reporting. Activities include managing multiple teams in developing work plans and timelines; leading and overseeing project tasks; leading client teleconferences and meetings;
presenting on healthcare topics; supervising and/or mentoring junior staff; and providing regular progress reports to DSAA leadership.
Details regarding potential project assignments and key sources of data will be discussed with potential candidates during the interview process.
ESSENTIAL COMPETENCIES, DUTIES, AND RESPONSIBILITIES
- Conduct rigorous statistical analyses to assess the impact of Medicaid 1115 Waivers and other Medicaid programs on healthcare outcomes.
- Utilize advanced statistical techniques to evaluate program effectiveness, including but not limited to:
- Propensity Score Matching
- Difference-in-Differences (DiD)
- Regression Discontinuity Design (RDD)
- Multilevel or Hierarchical Modeling
- Collaborate with interdisciplinary teams to ensure robust study designs and appropriate statistical and qualitative methodologies.
- Transform complex data into actionable insights.
- Interpret statistical results and communicate findings to stakeholders.
- Collaborate with policy experts, healthcare providers, and policymakers to inform program improvements.
- Stay abreast of the latest statistical methods and research in program evaluation.
- Innovate by adapting and applying emerging techniques to address specific evaluation challenges.
- Provide guidance to junior analysts and research staff.
- Collaborate with external evaluation groups and stakeholders as necessary.
- Serve as a subject matter expert in statistical methods for program evaluations.
- Participate in request for proposal activities.
EDUCATION AND/OR EXPERIENCE
- PhD in statistics, economics, or another quantitative discipline is required.
- A minimum of five (5) years of work experience.
- At least four (4) years of healthcare experience.
- At least four (4) years of statistics and/or quantitative analysis experience.
- At least two (2) years of qualitative methods experience.
- Preference for those candidates with program and/or waiver evaluation experience.
OTHER QUALIFICATIONS
- Proficient in the use of SAS for statistical analysis.
- Experience working with relational databases.
- Experience developing and leading formal written deliverables.
- Proficient in Microsoft Word and Excel.
- Excellent verbal and written communication skills.
- Ability to handle several projects simultaneously and work with multiple teams.
