Senior Manager, Psychometric Operations & Data Science

Senior Manager, Psychometric Operations & Data Science

College Board - Global Strategy and Talent, College Board LATAM

Location: Hybrid - San Juan, Puerto Rico. This is a hybrid role and requires the candidate to be on-site at College Board offices every Tuesday and Wednesday and as per business needs. Remote: The search is also extended to include candidates working remotely from Continental USA.

Role Type: This is a full-time position.

About the Team

College Board LATAM is committed to expanding educational opportunity and advancing evidence-based decision-making across the region. As part of the Research & Development division, the Research & Measurement team ensures that our assessments are scientifically rigorous, operationally sound, and aligned with our mission to expand educational opportunities across the region.

We work at the intersection of psychometrics, data science, and applied research, guiding how our assessments are designed, scored, analyzed, and continuously improved. Our team ensures that research and measurement practices are transparent, defensible, reproducible, and grounded in robust methodological standards.

R&M collaborates closely with internal teams — including Test Design & Development, Technology, Assessment Operations, Scoring, Reporting, and Market Development — as well as external stakeholders such as institutions, ministries, and research partners to support high-quality assessment programs across Latin America. As we modernize our assessment workflows and strengthen our data capabilities, we are seeking a hands-on director who can lead psychometric operations, improve assessment data workflows, and ensure that scoring and reporting processes are accurate, efficient, reproducible, and scalable.

About the Opportunity

The Director, Psychometric Data Operations will 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.

In this role, you will manage scoring cycles, improve psychometric data workflows, strengthen quality assurance processes, and help modernize item analysis, calibration, scoring, and reporting data processes. You will be responsible for ensuring that psychometric operations are accurate, reproducible, well-documented, and delivered on schedule.

This is a highly hands-on role. You will work directly with data, analyses, validation routines, and scoring files while also influencing how work is structured across Research & Measurement, Technology, Scoring, and Reporting. You will partner with psychometricians on technical direction for scaling, equating, calibration, and form processes, while owning the operational execution, documentation, QA, and workflow reliability needed to support those processes.

You will also help identify opportunities to reduce manual work, improve automation, and responsibly apply AI-enabled tools to strengthen QA, anomaly detection, documentation, and operational efficiency. This role does not own enterprise data governance or technology infrastructure, but it will help define operational requirements and promote strong data practices within R&M and across cross-functional assessment workflows.

Key Responsibilities

Psychometric Operations — 55%

• 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.

Data Workflow Modernization & Automation — 30%

• 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.

Cross-Functional Leadership, Documentation & Data Practices — 15%

• 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.

About You

You are a hands-on assessment data operations leader who is comfortable working at the intersection of education, psychology, psychometrics, and data science. You may not be a career psychometrician, but you understand assessment data, statistical workflows, and the importance of accuracy, reproducibility, and defensibility in high-stakes testing environments.

You are able to work directly with data and code while also leading cross-functional improvements. You enjoy solving operational problems, improving workflows, reducing manual effort, and making complex processes more reliable.

You lead through expertise and influence rather than through direct management — owning processes, driving decisions, and building strong cross-functional relationships without managing direct reports

You have:

• 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, with 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.

• Strong technical fluency in SQL and at least one programming language such as R or Python.

• 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.

Preferred qualifications:

• 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