Job Description:

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 (25%) 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. Author and approve release communications, ensuring stakeholders are informed of relevant changes and impacts. Oversee post-release issue identification and resolution, ensuring remediation efforts are prioritized and completed effectively. Provide formal validation sign-off for platform releases, including identifying conditions under which releases should not proceed. Continuous Improvement (5%) Identify, prioritize, and drive initiatives that streamline processes, reduce operational friction, and improve platform effectiveness. Evaluate workflows and documentation practices to determine improvement opportunities and implement solutions with measurable impact. Assess and apply AI-enabled tools to enhance analytical efficiency, documentation quality, and validation approaches, exercising judgment to ensure responsible and effective use. Decision-Making & Scope of Authority This role exercises independent judgment and discretion in matters of significance related to platform behavior, validation standards, and release readiness. The Information Analyst is responsible for defining functional expectations, establishing validation approaches, and making recommendations that are relied upon by engineering, product, and operational teams. The Analyst has the authority to: Establish and enforce standards for workflow definition, validation, and documentation Approve or reject configuration changes based on alignment with defined system behavior and quality criteria Determine readiness for release from a validation and documentation perspective, including identifying and escalating risks that may block deployment Recommend and implement process improvements that materially impact platform reliability, data quality, and operational efficiency This role operates with limited oversight in its area of responsibility and is accountable for decisions that influence system integrity, downstream operations, and user experience. About You To qualify for this role, you must have: Bachelor's degree in information systems, Data Analytics, Business, Computer Science, or related field (or equivalent experience). 5+ years of experience as a data systems analyst or similar role analyzing, testing, and validating data as it moves through pipelines and systems. Hands-on experience with AWS S3 and similar cloud storage systems, including working with structured and semi-structured datasets (relational tables, JSON/XML, log files) as they move through data pipelines. Comfortable testing and troubleshooting APIs and JSON payloads, along with reading logs, schemas, and configuration files in structured/semi-structured formats (e.g., CSV, JSON). Experience testing data and systems within CI/CD pipelines in complex environments, including distributed systems and integrated data pipelines. Strong analytical and problem-solving skills. Ability to work cross-functionally with engineering and product teams. Ability to manage multiple assignments in a fast-paced environment.

Curious and growth-oriented:

Genuine curiosity about emerging technologies (especially AI-driven tools), comfortable learning new digital tools independently and proactively, and committed to continuous improvement through feedback and iterative learning.

Collaborative communicator and problem-solver:

Clear, concise communicator who works effectively across differences, drives impact through data-informed decisions, and prioritizes what matters most while fostering a culture of shared success. Comfortable leveraging AI-enabled tools to support analysis, documentation, and quality validation while exercising sound judgment and human review. A passion for expanding educational and career opportunities and mission-driven work Authorization to work in the United States for any employer Nice to Have Proficiency with Python and pandas for data cleansing, transformation, and validation. Familiarity with Agile/Scrum environments. Exposure automation tools or testing frameworks. Experience supporting enterprise platforms or internal tooling. About Our Process Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days. While they hiring process may vary, it generally includes resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks. What We Offer At College Board, we offer more than just a paycheck-we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market. A Thoughtful Approach to Compensation The hiring range for this role is $80,000-$130,000. Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board. We aim to make our best offer upfront rooted in fairness, transparency, and market data. We adjust salaries by location to ensure fairness, no matter where you live. 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Senior Data Systems Analyst