Duties Responsibilities 1. Business Engagement (25%) a. Meet with business stakeholders to provide education on AI capabilities, limitations, and appropriate use cases. b. Evaluate existing client processes and datasets to identify opportunities for AI solutions to improve efficiency, accuracy, service quality, or decision-making. c. Assist in determining the level of ROI and development complexity to assess the viability and priority of moving forward with a given solution. d. Translate technical findings into clear, actionable insights and recommendations for non-technical audiences. e. Assess data privacy, data sensitivity, and risk considerations for proposed solutions, in collaboration with data privacy and security teams. f. Provide training, guidance, and support to teams, both internal and external, adopting AI tools and solutions. g. Track and report on AI project progress, value realization, and performance metrics. h. Assist in preparing training and evaluation datasets and in validating model outputs with subject-matter experts. 2. Solution Design Implementation (40%) a. Collaborate with data scientists, developers, and business partners to translate business problems into AI functional and technical requirements. b. Support the design, testing, and deployment of AI solutions. c. Document AI use cases, workflows, logic, parameters, and expected outcomes in a clear and reusable format. d. Assist in user acceptance testing, quality assurance, and deployment for new AI solutions, break fixes, or enhancements. 3. Governance Risk Management (10%) a. Help ensure AI solutions comply with company policies, data security, and privacy standards (e.g., FERPA, HIPAA, data classification), and ethical/responsible AI guidelines. b. Maintain documentation related to governance, model validation, and monitoring efforts. c. Support incident investigations, risk reviews, and issue triage involving AI systems. 4. Support (15%) a. Once relevant training and experience have been obtained, support production activities associated with AI solutions. This may require evening or weekend hours, depending on the business criticality of the solution. b. Provide support for testing, configuration, and maintenance needed for scheduled upgrades and outages. c. Serve as a point of contact between business users and technical teams for AI-related questions, issues, and enhancement requests. 5. Other duties (10%) a. Stay current with emerging AI capabilities, tools, and best practices, especially as they relate to higher education. b. Participate in communities of practice, demonstrations, and knowledge-sharing activities. c. Perform other duties as assigned that are appropriate for an AI Analyst.