Key Accountabilities & responsibilities
1) Integrated Digital Solutions Leadership- Provide strategic and operational leadership for digital solutions consulting, solutions engineering, and training as a unified function. Define and evolve service offerings that intentionally blend consultation, solutioning, and enablement. Ensure consistent intake, prioritization, delivery, and documentation of digital solutions engagements across the university.
2) AI Enablement and Strategy - Lead the university’s AI enablement efforts within Digital Solutions, including consultation, solution design, training, and diffusion. Serve as program manager for the AI enablement program, establishing the roadmap, governance-aligned operating model, intake and prioritization mechanisms, and success metrics for AI adoption across the university. Partner with stakeholders to identify high-impact AI use cases where current processes or jobs can be reengineered to utilize AI, guide responsible adoption, and ensure AI tools are embedded into real workflows through consulting, solution design, and training. Oversee or collaborate closely with AI-focused roles and ensure alignment with institutional AI governance, risk, and ethics frameworks.
3) Solutions Engineering and Consulting Oversight - Oversee solution engineering and consulting activities that translate business needs into effective, supportable digital solutions using enterprise platforms (e.g., Microsoft 365, ServiceNow, Qualtrics, Miro, AI platforms). Ensure solutions emphasize out-of-the-box capabilities, scalability, and maintainability. Guide teams in requirements gathering, process mapping, solution design, testing, and handoff.
4) Training, Enablement, and Adoption - Oversee the design and delivery of training and enablement experiences that support adoption of digital and AI-enabled solutions. Ensure training offerings are practical, workflow-centered, and aligned with real consultative engagements. Establish standards for instructional quality, learning experience design, and measurement of training effectiveness and impact.
5) Continuous Improvement, Metrics, and Research - Establish metrics to measure and report on adoption, impact, and satisfaction across solutions and training. Monitor trends in digital transformation and AI, evaluate emerging tools, and continuously improve service models. Use data and feedback to refine offerings, retire low-value services, and scale high-impact solutions.