TRANS-REGIONAL ASSESSMENT PROGRAM EVALUATOR TASK LEAD

Lead a team to provide trans-regional OIE/PSYOP assessment support to global customers. Provide management, direction, administration, quality assurance, and leadership for systematic social science activities that collect and analyze data on PSYOP/OIE effectiveness to inform command and operational decision-making. Liaise with global operational units and balance scientific rigor with practical application.

Key Responsibilities:

• Serve as Task Lead and manager for assessment team; provide direction, quality assurance, and administrative oversight.
• Design, implement, and oversee OIE/PSYOP impact evaluations and assessment frameworks.
• Collect, clean, analyze, and interpret quantitative and qualitative data to assess effectiveness of messaging/interventions.
• Apply quasi-experimental designs and econometric techniques (e.g., difference-in-differences) in field research contexts.
• Implement and validate statistical models and produce decision-grade reports, briefings, and recommendations for senior leadership.
• Liaise with global operational units, J39 staff, interagency and coalition partners to coordinate assessments and integrate findings into operations.
• Oversee use of AI/NLP tools for analysis (sentiment analysis, entity recognition, categorization) and integrate AI-derived insights with traditional assessment methods.
• Ensure methodological rigor while adapting approaches to operational constraints and timelines.

Required Qualifications

• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
• Clearance: TS with SCI eligibility at proposal submission and ability to maintain SCI access.
• Experience: Minimum three (3) years’ experience (within last seven years) in a program evaluation role assessing intervention impact.

Desired Qualifications

• Minimum three (3) years’ experience working PSYOP or directly supporting projects requiring J39 operations, issuances, and policy knowledge.
• Minimum three (3) years’ experience (within last seven years) assessing communication/messaging interventions on attitude and behavior change.
• Demonstrated proficiency with statistical/software tools for applied analysis and reporting (e.g., R, Python, SPSS, SAS); able to implement regression models and inferential/descriptive statistics.
• Minimum two (2) years’ experience applying field research techniques, with working knowledge and practical application of quasi-experimental research and econometric methods.
• Minimum one (1) year experience using AI tools in NLP tasks (sentiment analysis, entity recognition, categorization) applied to operational datasets.
• Advanced degree and/or relevant certifications in program evaluation, statistics, social science, or related fields preferred.

This is a Proposal requisition