Senior Data Systems Analyst

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- nabled a