Director, Psychometric Operations & Data Science

College Board

5h•$80,000 - $125,000•Hybrid

About The Position

College Board LATAM is seeking a hands-on Director, Psychometric Operations & Data Science to lead the operational execution and continuous improvement of psychometric data workflows for College Board LATAM assessments. This role sits at the intersection of assessment operations, psychometrics, data science, and technology. The Director will manage scoring cycles, improve psychometric data workflows, strengthen quality assurance processes, and help modernize item analysis, calibration, scoring, and reporting data processes. The goal is to ensure that psychometric operations are accurate, reproducible, well-documented, and delivered on schedule. This is a highly hands-on role involving direct work with data, analyses, validation routines, and scoring files, while also influencing work structure and partnering with psychometricians on technical direction. The role will also identify opportunities for automation and the responsible application of AI-enabled tools. While not owning enterprise data governance or technology infrastructure, the Director will help define operational requirements and promote strong data practices.

Requirements

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.
Experience running data validation checks, documenting workflows, troubleshooting data discrepancies, and improving repeatability of analytic 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.
Ability to partner effectively with psychometricians, researchers, technology teams, scoring teams, and reporting teams.
Strong attention to detail and a track record of supporting processes where accuracy, documentation, and quality control are essential.
Ability to communicate clearly with both technical and non-technical stakeholders.
Bilingual proficiency in Spanish and English.
Ability to travel 1–2 times a year to College Board offices or on behalf of College Board business.
A passion for expanding educational and career opportunities and mission-driven work.
Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively.
Clear and concise communication skills, written and verbal.
A learner’s mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.
A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.
A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.
Resident in USA, Authorization to work in the United States for any employer.

Nice To Haves

Experience with assessment programs, educational testing, credentialing, certification, admissions, large-scale assessment, or similar testing environments.
Experience improving or automating data workflows using R, Python, SQL, or related tools.
Familiarity with structured and semi-structured data formats, such as CSV, relational tables, JSON, or similar formats.
Familiarity with cloud-based data environments or modern data platforms.
Comfort using AI-enabled tools to improve QA, anomaly detection, documentation, workflow automation, or analytic review.
Experience working with Technology teams to define requirements for data tools, pipelines, dashboards, or workflow improvements.

Responsibilities

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.
Run, review, and improve statistical and data validation checks using tools such as SQL, R, Python, or similar platforms.
Conduct root-cause analysis when scoring irregularities, data discrepancies, or reporting issues arise.
Maintain strong documentation, version control, traceability, and reproducibility standards across scoring and psychometric workflows.
Translate psychometric requirements into clear operational steps, data specifications, QA checks, and handoffs across teams.
Ensure that scoring and psychometric processes are defensible, repeatable, and aligned with relevant professional expectations for educational assessment.
Identify and reduce manual, file-based, or error-prone processes across scoring, item analysis, calibration, validation, and reporting workflows.
Define business and operational requirements for improved psychometric data workflows, automated checks, dashboards, and pipeline enhancements.
Partner with Technology to implement data workflow improvements, while ensuring that technical solutions meet the operational needs of R&M, Scoring, and Reporting.
Develop or support scripts, queries, validation routines, and repeatable processes that improve speed, consistency, and transparency.
Establish practical standards for data inputs, outputs, file formats, naming conventions, documentation, and handoffs.
Represent R&M in cross-functional conversations related to scoring data, reporting data, psychometric workflows, and assessment data operations.
Promote consistent documentation, data definitions, process maps, and decision logs across psychometric and assessment data workflows.
Apply existing College Board data policies and responsible data practices within R&M workflows.
Help define access, retention, documentation, and data-use expectations for psychometric and operational assessment data, in partnership with appropriate governance and Technology partners.
Communicate complex operational, statistical, and data quality issues clearly to technical and non-technical audiences.
Mentor colleagues in reproducible data practices, workflow documentation, QA routines, and responsible use of automation.
Contribute to a culture of accuracy, accountability, continuous improvement, and thoughtful innovation.