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Senior Data Systems Analyst

Collegeboard

Remote · Remote, United States, US$80k – $130k

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About this role

Senior Data Systems Analyst

College Board -   Technology    

Location:  This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office). All CB employees are required to occasionally travel to meet in person for business purposes.    Type:  This is a full-time position  

About the Team    

The Information Management team supports   reliable   operation and continuous improvement of enterprise platforms that enable privacy-focused technology and workflows across the College Board. Our work ensures that systems supporting data handling, consent, and access-related processes   operate   predictably, scale responsibly, and provide clear,   accurate   outputs to the teams who rely on them.  

We partner closely with engineering, product, privacy, and operational teams to help translate complex requirements into well-documented workflows, strengthen testing and validation practices, and improve system transparency. Our focus is on platform execution — ensuring configurations, data inputs, and system behaviors align with expected outcomes.  

As privacy technology continues to evolve, our team helps enable safe scaling by supporting implementation, validation, and documentation efforts that reduce operational risk and improve clarity for downstream teams.  

We are a collaborative, detail-oriented team that values precision, practical problem-solving, and continuous improvement. Our goal is to reduce friction, improve system understanding, and help privacy-enabled platforms function effectively across the organization.  

About the Opportunity     

The Information Analyst   is responsible for   the effective operation and continuous improvement of enterprise platforms and application workflows, ensuring processes are clearly defined, data inputs meet established quality standards, and system behaviors align with business and technical expectations.  

This role focuses on analytical ownership of platform behavior, validation strategy, and workflow design. The Analyst partners with engineering, product, and business teams to evaluate system performance, define functional expectations, and inform decisions that ensure systems   operate   predictably and scale effectively.  

This is a hands-on analytical role that exercises independent judgment in analyzing system behavior,   determining   validation approaches, and driving improvements that enhance platform reliability, transparency, and operational efficiency.  

What   You’ll   Do  

Operational Analysis & Platform Support (20%)  

• Own the analysis of system workflows, defining inputs, outputs, dependencies, and expected behaviors to ensure alignment with business and technical requirements.  

• Identify , define, and   maintain   system behaviors, constraints, and edge cases,   establishing   clarity on how platforms are expected to   operate .  

• Evaluate platform changes and   determine   downstream impact, providing recommendations that inform cross-functional decisions and release readiness.  

• Approve or reject   configuration changes prior to release, ensuring consistency with defined system logic and operational standards.  

• Leverage AI-assisted tools to enhance workflow analysis and impact assessment, applying independent judgment to   validate   outputs and ensure accuracy.  

Data & Process Validation (20%)  

• Own validation of structured data inputs used by enterprise applications, ensuring alignment with defined quality standards and business requirements.  

• Evaluate datasets, configurations, and system outputs to   determine   accuracy, completeness, and consistency, applying independent   judgment   to   identify   risks and gaps.  

• Lead impact analysis when application logic or workflows change, assessing downstream   effects   and recommending   appropriate actions .  

• Identify , prioritize, and drive resolution of data inconsistencies and defects in partnership with engineering and product teams.  

• Define and enforce standards for   workflow design, validation, and documentation across supported platforms.  

• Leverage AI-enabled analytical tools to detect patterns, anomalies, and systemic issues, informing decisions that improve data reliability and process effectiveness.  

Quality Assurance & Testing Support ( 2 5%)  

• Define test strategies, scenarios, and validation criteria to ensure platform changes meet functional and operational requirements.  

• Lead functional and regression validation efforts for platform updates, ensuring alignment between expected and actual system behavior.  

• Evaluate and document system outcomes against defined expectations, identifying gaps, risks, and areas requiring remediation.  

• Identify   patterns in recurring issues, conduct root cause analysis, and drive corrective actions in partnership with technical teams to improve system reliability.  

• Own the development, quality, and lifecycle of user-facing documentation that defines system processes, workflows, and expected behaviors.  

• Establish and   maintain   standards for documentation structure, clarity, and accessibility across internal knowledge repositories.  

• Serve as a subject matter expert on platform functionality and workflow design, advising stakeholders and providing guidance on system capabilities and requirements.  

• Define and communicate integration and testing expectations, ensuring alignment across cross-functional teams.  

• Manage traceability across workflows, requirements, tickets, and releases to ensure transparency and alignment throughout the   development   lifecycle.  

• Own release readiness from a documentation and validation perspective, ensuring all required materials, evidence, and configurations meet defined standards prior to deployment.  

• A uthor and approve   release   communications, ensuring stakeholders are informed of relevant changes and impacts.  

• Oversee p

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