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Compliance Training Technology Specialist
Johns Hopkins University is hiring for the role of Compliance Training Technology Specialist, Baltimore, MD (On-site). This is an AI Governance role in the governance, risk, and compliance field, with a posted range of $64,470 to $112,850. Review the full details below and apply directly with Johns Hopkins University.
Provides advanced technical, AI, and digital content development support to the Manager of Compliance Training, creating technology-enabled solutions that streamline compliance training operations, improve content development workflows, support reporting efficiency, and reduce manual administrative burden. AI, automation, and business process enablement: designs, builds, tests, and maintains AI agents, prompts, workflows, and automation tools; develops AI-enabled solutions for intake review, training assignment preparation, content updates, reporting summaries, and audit preparation; and maintains documentation for AI agents, workflows, and prompts. Digital content development: builds and updates compliance training content using modern authoring and AI-assisted tools, converts subject-matter-expert content into e-learning modules and job aids, and ensures ADA and WCAG accessibility. Also supports LMS build and maintenance, data validation, and reporting. Minimum qualifications: Bachelor's degree and five years of experience in learning technology, digital learning development, AI-enabled workflow support, automation, content development, or LMS support. Preferred tools include Microsoft Copilot, Power Automate, Power BI, SharePoint, and Articulate, along with familiarity with responsible AI practices. Starting salary $64,470 to $112,850.
Location and market context
This role is based in Baltimore on-site. Local candidates benefit from being close to Johns Hopkins University's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Johns Hopkins University would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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