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Director, Psychometric Operations & Data Governance

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Location:
United States , San Juan

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Contract Type:
Not provided

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Salary:

64000.00 - 80000.00 USD / Year

Job Description:

Join College Board as the Director of Psychometric Operations & Data Governance, where you will lead the modernization of data architecture and ensure the ethical management of psychometric and operational data in a hybrid work environment. The Director, Psychometric Operations & Data Governance, is expected to be key architect of CB-LATAM’s data ecosystem—ensuring that psychometric and operational data are managed ethically, governed responsibly, and leveraged to drive both operational excellence and strategic insight.

Job Responsibility:

  • Psychometric Operations Leadership (30%): Drive and safeguard the operational integrity of scoring, equating, calibration, and reporting data workflows
  • Execute and monitor scoring cycles meet defined turnaround time, accuracy, and QA standards
  • Design and implement reproducibility, documentation, and traceability standards across all psychometric processes
  • Architect and implement modernization of legacy scoring and item analysis pipelines into relational or warehouse-based systems
  • Conduct root-cause analysis for systemic scoring irregularities or data discrepancies
  • Partner with Psychometricians to ensure form rotation, scaling, and calibration processes are technically sound and operationally resilient
  • Enterprise Data Governance & Stewardship (25%): Serve as the designated Data Steward for psychometric and operational data within CB-LATAM
  • Design and operationalize a unified governance framework covering metadata, retention, access control, and data lifecycle management
  • Maintain comprehensive end-to-end data flow documentation across systems
  • Ensure compliance with College Board governance policies, professional testing standards (AERA/APA/NCME), and applicable privacy regulations
  • Establish governance KPIs and risk monitoring mechanisms
  • Lead audit readiness efforts and documentation processes
  • Data Architecture & Infrastructure Modernization (20%): Define and execute the roadmap for transitioning from manual, file-based workflows to automated, scalable infrastructure
  • Partner with Technology to implement secure, cloud-aligned environments for psychometric and scoring data
  • Establish standards for schema design, lineage tracking, validation routines, and version control
  • Execute and validate migration of core datasets into governed architecture
  • Design and validate technical design decisions for new pipelines and automation initiatives
  • Automation, AI & Advanced Analytics (15%): Lead integration of AI-assisted validation and anomaly detection tools within scoring and integrity review workflows
  • Establish model governance standards including documentation, benchmarking, and human-review protocols
  • Identify automation opportunities that reduce manual effort while increasing consistency and quality
  • Translate complex analytic outputs into executive-ready insights and operational recommendations
  • Organizational Leadership & Influence (10%): Represent R&M in enterprise data architecture and modernization initiatives
  • Mentor team members in governance, reproducible research practices, and advanced analytics
  • Advise senior leadership on data risk, infrastructure investments, and operational priorities
  • Promote a culture of accountability, data ethics, and continuous improvement

Requirements:

  • Master’s degree in Data Science, Computer Science, Statistics, Information Systems, Psychometrics, or related field
  • 8–12+ years of experience in data architecture, governance, analytics leadership, or high-stakes operational data environments
  • Demonstrated experience owning production data systems with strict accuracy and compliance requirements
  • Proven track record implementing data governance frameworks and automation strategies
  • Strong technical fluency in SQL and at least one programming language (R or Python)
  • Experience designing or operating data workflows within AWS cloud infrastructure and working with structured and semi-structured data formats (e.g., JSON)
  • Working knowledge of IRT and CTT models, scaling, and equating procedures
  • Experience deploying AI/ML models into operational workflows
  • Strong executive communication and stakeholder alignment skills
  • Ability to travel 1-2 times a year to College Board offices or on behalf of College Board business
  • Bilingual proficiency in Spanish and English
  • Resident in USA, Authorization to work in the United States for any employer

Additional Information:

Job Posted:
March 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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