Senior Psychometrician and Data Manager

Multitudes is seeking a senior Psychometrician and Data Manager to lead the design, validation, analysis, and strategic use of data across its educational implementation initiatives. This individual will oversee the organization's measurement framework and data systems, ensuring that assessments and analytics meet the highest standards of scientific rigor, validity, reliability, equity, accessibility, and usability.

Reporting to the Chief Operating Officer (COO), the Psychometrician and Data Manager serves as the scientific and technical lead for the Multitudes Project across its research, education, and product initiatives. The role combines expertise in psychometrics, educational measurement, quantitative methods, and applied data science with strategic leadership to translate complex statistical findings into actionable insights that advance the development and implementation of the Multitudes screening platform.

The ideal candidate holds deep expertise in psychometrics, educational measurement, quantitative psychology, statistics, or a related discipline, with experience in literacy, education, neuroscience, developmental science, or behavioral research. This individual will collaborate across multidisciplinary teams, contribute to assessment development, oversee data infrastructure, mentor analysts, and ensure data quality, governance, and regulatory compliance across multiple institutional partners.

In addition, we expect the ideal candidate to lead the organizational data architecture and analytics strategy. Build together with their team, scalable systems for data collection, management, quality control, visualization, and reporting. Oversee complex statistical analyses and interpretation of longitudinal and intervention data. Develop dashboards, technical reports, white papers, and presentations for internal and external stakeholders. Translate data into actionable recommendations for program improvement, policy, and research dissemination.

Because our implementation work is grounded in research, we expect the ideal candidate to collaborate with interdisciplinary teams, including neuroscientists, literacy researchers, educators, clinicians, and software developers. Contribute to grant writing, research publications, conference presentations, and external partnerships. Support the development of innovative measures that integrate educational, cognitive, and behavioral data and help establish Multitudes as a national leader in evidence-based measurement and evaluation.

In addition, the ideal candidate is expected to build and mentor a high-performing analytics and research team. Establish best practices for data governance, reproducibility, documentation, and ethical data use, and supervise external research and evaluation partners as needed.

The role will provide psychometric and measurement leadership for the development, validation, refinement, and scaling of Multitudes assessments and related measurement systems. Responsibilities will include supporting the research team in designing and overseeing studies of reliability, validity, measurement in variance, item functioning, growth, and sensitivity to intervention effects, while applying appropriate modern psychometric and statistical approaches, including Item Response Theory (IRT), Classical Test Theory, multilevel and structural equation modeling, latent growth modeling, and Bayesian methods.

The role will also help ensure that assessments and measurement approaches are culturally responsive, equitable, and appropriate for multilingual and diverse student populations.

The role will lead data strategy, analytics, and research collaboration, including developing scalable approaches to data collection, management, quality assurance, analysis, visualization, and reporting. This includes overseeing analyses of large-scale longitudinal and intervention datasets and translating findings into actionable recommendations for assessment refinement, program improvement, policy, and research dissemination. The role will collaborate closely with interdisciplinary partners-including literacy researchers, neuroscientists, educators, clinicians, data scientists, and software developers-and contribute to grant proposals, peer-reviewed publications, technical reports, white papers, conference presentations, and external research partnerships.

The work will also support the development of innovative measures integrating educational,…