Program Evaluation Manager
Listed on 2025-12-25
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IT/Tech
Data Analyst, Data Science Manager, Data Scientist
Overview
We are seeking a highly skilled and experienced Program Evaluation Manager to oversee the execution of program evaluations and independent assessments for the Department of Veterans Affairs (VA). This role will focus on evaluating the effectiveness, cost efficiency, and veteran satisfaction with VA Mental Health (MH) and Suicide Prevention (SP) programs, including the Staff Sergeant Parker Gordon Fox Suicide Prevention Grants Program (SSG Fox SPGP).
The ideal candidate will lead a multidisciplinary team, leveraging their expertise in data analysis, programmatic evaluation, and stakeholder engagement to produce actionable insights and comprehensive reports in line with Congressional mandates.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial‑grade platforms and mission‑ready AI to federal agencies at commercial speed. Leveraging our mission‑ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively.
With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
- Assess the development and execution of evaluation methodologies and approach plans for VA’s MH and SP programs; design and establish evaluation frameworks, methodologies, and metrics for measuring program performance and outcomes.
- Conduct annual independent evaluations to generate Congressionally Mandated Reports (CMR) in compliance with the Clay Hunt Act and the Hannon Act.
- Utilize the CDC’s Program Evaluation Framework to inform and guide evaluations, ensuring assessments are thorough and aligned with best practices.
- Use evaluation findings to make evidence‑based recommendations for program enhancements and corrective actions.
- Encourage and support innovation and improvement initiatives within the program.
- Oversee the planning, execution, and completion of program projects, ensuring they are completed on time and within budget.
- Serve as the primary point of contact for program‑related inquiries and represent the program at meetings, conferences, and events.
- Manage data collection, analysis, and integrity checks for all evaluation datasets to ensure alignment with evaluation needs.
- Generate analytical datasets using data provided by VA and ensure statistical validity of findings.
- Support the analysis of evaluation data to assess program effectiveness and identify areas for improvement.
- In conjunction with Lead Data Scientists and Data Analysts, provide VA with code and methodologies used for data analysis (e.g., SAS, SQL, R, Python).
- Facilitate meetings with VA Office of Mental Health (OMH) and Office of Suicide Prevention (OSP) to understand data usage, methods, best practices, and published findings.
- Coordinate with VA stakeholders, including key informants and subject matter experts, to gather additional insights and address evaluation challenges.
- Prepare presentation materials, visualizations, and reports for VA and Congressional committees in a digestible and informative style.
- Develop comprehensive reports and documentation detailing program performance, outcomes, and recommendations.
- Submit annual draft and final reports for the SSG Fox SPGP and Clay Hunt Act evaluations by specified deadlines.
- Document best practices and promising interventions for inclusion in final reports and propose recommendations based on evaluation findings.
- Ensure all deliverables include comprehensive data, analyses, and methodologies.
- Review and enhance evaluation strategies and methodologies, incorporating human‑centered design (HCD) principles and feedback from previous…
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