Data Architect

Challenger School seeks a fulltime Data Architect to work onsite in our Sandy Utah office.

Hiring Objective: To fill a role that is part of a team that will design and implement a structured data architecture that will be the basis for a modernized content management system. This will be a massive conversion of over ten thousand preschoolgrade 8 educationalbased assessments keys guides lesson plans etc. that will consequently require us to streamline publishing workflows enable automation and incorporate AIdriven insights that will result in multiplatform content delivery.

As a result Challenger School is seeking a skilled Data Architect to design and implement a structured onesource scalable data framework (most likely within Alfresco) that ensures seamless content organization retrieval and ability to generate outputs needed for online/LMS (Schoology) access AI reference (ChatGPT) and printing purposes (pdfs). This role will establish the taxonomy metadata standards and data workflows (while providing thorough documentation throughout) as well as help identify next steps for the integration needed to enhance efficiency establish content integrity and ensure longterm scalability.

This role reports to the Director of Communication and works closely with curriculum publishing teams and
IT to architect a data infrastructure that supports longterm content transformation. The selected candidate must be highly analytical be ethically grounded and have a proven track record in structured publishing (preferrable ed tech) content transformation and workflow automation.

Key Responsibilities

1. Design and implement the data structure in Alfresco ensuring a scalable and efficient content hierarchy that supports metadata frameworks storage architecture and structured organization for longterm usability.
2. Develop and maintain a robust content taxonomy defining classification standards tagging structures and establishing metadata rules that enable intuitive retrieval automation and seamless integration with editorial workflows.
3. Establish and enforce data governance policies by implementing version control access management and compliance standards that ensure content accuracy security and consistency across all systems.
4. Optimize data workflows to support automation structuring metadata and content models in a way that facilitates automated content ingestion tagging and workflow triggers within Alfresco and related systems.
5. Define and implement data structures that support seamless interoperability between Alfresco and external platforms including structuring content to enable AIdriven analytics LMS (Schoology) SIS (PowerSchool) and automation tools. Ensure data models facilitate structured content distribution intelligent retrieval and automated publishing workflows.
6. Collaborate with content managers subject matter experts (SMEs) and IT teams to align data structures with editorial and publishing workflows ensuring content is easily accessible properly categorized efficiently maintained and meets operational needs.
7. Support reporting and analytics by structuring data for AIdriven content tracking enabling realtime insights into content usage search optimization and overall system performance.
8. Develop best practices and documentation for longterm scalability ensuring that data models governance policies and integration standards are welldocumented and adaptable to future system enhancements and operational growth.

Technical and Leadership Qualifications

• 5 years in data architecture with expertise in designing scalable data models metadata structures and governance frameworks preferably within Alfresco or similar enterprise CMS platforms.
• Proven proficiency in metadata management taxonomy development and structured data organization ensuring efficient classification retrieval and automation of digital assets.
• Demonstrated experience in converting nonstructured content (that includes tables images equations layers graphics) into organized onesource structured data. Background in STEM content publishing preferred (MathML LaTeX).
• Experience integrating content repositories with automation tools AIdriven analytics and external systems such as LMS (e.g. Schoology) SIS (e.g. PowerSchool) and APIdriven platforms ensuring seamless data interoperability.
• Knowledge or understanding of relational and NoSQL databases data modeling and query optimization with the ability to design and implement scalable architectures that support complex workflows and highvolume content operations is preferred.

Personality Criteria

This is a highimpact role for a technically proficient strategically minded leader who values precision and transparency and who thrives in a meritocratic resultsdriven environment.

We are looking for an individual who for the first six to nine months will fully immerse him or herself in the current curriculum content publishing practices and workflows to gain a full understanding of existing content structures and metadata taxonomy within Challengers legacy systems. This person will need to absorb much and learn from publishing and curriculum departments before determining next steps. This role is for a cooperative person who values learning evaluating and architecting a solution that aligns with the longterm strategic goals of an established elite private school.

If you thrive in a crossfunctional leadership role of balancing technology content and workflows and want to help pioneer a high enterprise digital transformation project we want to hear from you!

Application Process

Must submit a cover letter with application that includes:

1. An example of how you designed a scalable data architecture starting from an immersion phase to full implementation ensuring taxonomy metadata and automation alignment.
2. A case study or project where you transformed nonstructured imageheavy content (including tables graphics and equations) into a structured singlesource format for multiplatform delivery.
3. Details on how you integrated structured content into an automation or AIdriven workflow ensuring seamless retrieval tagging and data integrity across a publishing ecosystem.

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