Director of Learning Analytics and Strategy

Overview The Director / Associate Director of Learning Strategy and Analytics serves as a critical connector between program strategy, course-level execution, and academic data. This role leads the development of learning strategy, curriculum planning, and analytics capabilities that enable EIM and its University Partners to make more informed decisions about program design, curriculum effectiveness, learner progression, and continuous improvement. The role is responsible for translating program-level goals, competencies, accreditation expectations, and learner outcomes into actionable curriculum structures and course-level guidance. It also provides strategic ownership of the systems, applications, and data frameworks that support curriculum planning and insight, including different platforms and other curriculum mapping, assessment, and learning-analytics tools. Working closely with Academic Disciplines, Learning Design & Technology, Accreditation & Assessment, and University Partner leadership, this role helps ensure that curriculum decisions are informed by evidence, aligned across the learner journey, and supported by scalable processes and technology. Through curriculum strategy, product ownership, data interpretation, and cross-functional collaboration, the role strengthens EIM’s ability to connect program intent with course design, implementation, and measurable outcomes. Responsibilities Include but are not limited to the following: Learning Strategy & Program Alignment Lead approaches for translating program vision, competencies, accreditation requirements, and program-level outcomes into coherent curriculum structures and course-level guidance. Support curriculum architecture, sequencing, mapping, and alignment across courses and programs. Partner with Academic Disciplines and Learning Design teams to identify curriculum gaps, redundancies, dependencies, and opportunities for improved integration. Develop frameworks and tools that support new program development, curriculum redesign, and ongoing program improvement. Ensure curriculum planning reflects learner progression, assessment strategy, instructional priorities, and program outcomes. Learning Analytics & Academic Insight Develop and lead a learning-intelligence approach that integrates curriculum, assessment, course, learner, and program-level data to support academic decision-making. Identify priority data and insights needed by Program Directors, faculty, Academic leaders, and University Partners. Translate complex academic and learning data into actionable insights, recommendations, dashboards, and decision-support resources. Partner with Accreditation & Assessment and other stakeholders to connect curriculum information with student achievement, assessment performance, licensure outcomes, retention, and other indicators of program effectiveness. Identify opportunities for earlier detection of curriculum, implementation, or…