
Lead Content Engineer
Remote · USFull-timeSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
The Lead Content Engineer leads the design, governance, and evolution of structured exam content and metadata across College Board assessment systems. The role focuses on content standards and interchange, including QTI-based ingestion and translation layers, vendor and legacy migrations, and a unified item bank. It owns schema, standards, and translation architecture, and represents College Board in relevant edtech standards groups.
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Full job description
Lead Content Engineer, Create College Board - Technology Location: This is a 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. Role Type: This is a full-time position About the Team The Content Engineering team sits within a multidisciplinary technology team that integrates design, content, and engineering to deliver consistent, scalable user experiences. We support structured content models, authoring ecosystems, metadata standards, and content workflows that power College Board's digital products and websites. Our team partners with platform product leadership and serves a broad community of content creators, including assessment and item authors and developers. We aim to unify practices, strengthen the discipline, and support content systems that are robust, maintainable, and flexible for the future. About the Opportunity The Lead Content Engineer leads the design, governance, and evolution of structured exam content and metadata across the full assessment lifecycle within College Board item creation systems and with external and internal consumers. This role drives standards compliance, interchange status and metadata alignment across a complex ecosystem. Operating at the intersection of content strategy, data modeling, and technical specification, this role establishes shared structures and terminology, aligns disparate authoring tools within a common architecture, and ensures content can function seamlessly as both machine-readable data and human-consumable artifacts. The role's near-term priority is content standards and interchange: defining ingestion and translation layers for QTI and related edtech content standards, allowing us to integrate with external vendors and customers, and supporting the development of a global item bank crossing our various assessments. This role partners with content or domain experts, and owns the schema, standards, and translation architecture that make migrations correct and repeatable, and that allows consistent internal interchange of items and item metadata. This is a systems leadership role with enterprise impact. In this role, you will: Own content interchange architecture (30%) Take responsibility for quality and integrity for exchange of item and other assessment content between College Board and external or legacy systems, grounded in QTI and related edtech content standards. Lead near-term content migrations from several vendors and legacy systems, partnering with a content or domain expert who owns subject-matter accuracy while this role owns schema mapping, structural validation, and standards compliance. Lead evolution of a unified content model to support the development of universal item bank, as a common directory of metadata and content. Design translation layers as reusable interchange capabilities rather than one-off interfaces, so future providers and systems can extend the same pattern. Define validation checkpoints that catch structural or metadata loss during interchange or translation, before content reaches production. Represent College Board in relevant edtech standards groups, tracking and influencing the evolution of standards as they affect the platform. Define and evolve metadata standards (30%) Analyze, compare and identify gaps in existing schemas for item, form and course metadata. Develop structured content specifications that support downstream form assembly, assignment, scoring, and reporting systems. Ensure interoperability and security across applications and platforms through consistent data modeling and governance. Balance machine-readable formats, such as JSON, with human-readable outputs for stakeholder validation and quality assurance. Support practical usage and development based on stakeholder needs and system evolution. Maintain metadata integrity (30%) Ensure consiste
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