Manage recurring scoring cycles, ensuring that scoring, analysis, validation, and reporting readiness activities meet defined timelines, accuracy expectations, and QA standards
Execute and oversee psychometric data workflows related to item analysis, item calibration, scoring validation, equating support, reporting file readiness, and post-administration review
Partner with psychometricians to operationalize technical guidance for scaling, equating, calibration, form rotation, and scoring rules
Conduct root-cause analysis when scoring irregularities, data discrepancies, or reporting issues arise
Ensure that scoring and psychometric processes are defensible, repeatable, and aligned with relevant professional expectations for educational assessment

Master’s degree in Data Science, Statistics, Information Systems, Educational Measurement, Psychology, Psychometrics, Computer Science, or a related field
5+ years of hands-on experience in psychometrics, educational measurement, advanced statistical analysis, or similarly rigorous quantitative environments
Strong technical fluency in SQL and at least one programming language such as R or Python
Experience supporting or managing scoring cycles, assessment data workflows, statistical analysis workflows, or reporting data processes
Working knowledge of educational assessment concepts such as item analysis, classical test theory, item response theory, scaling, equating, calibration, scoring rules, or form development
Bilingual proficiency in Spanish and English

Senior Manager, Psychometric Operations, Data Science

Key skills