Assistant Director of Strategic Analytics

University of Maryland•College Park, MD

20d•$156,080 - $187,296•Hybrid

About The Position

The Assistant Director of Strategic Analytics leads strategic analytics, assessment, reporting, and data-informed decision support for the University of Maryland Division of Information Technology’s academic technology, digital services, and related systems. The role helps DIT understand and improve service performance, technology adoption, cost, user experience, and the effectiveness of services supporting students, faculty, and staff. The Assistant Director partners with DIT leaders, service owners, technical teams, and campus stakeholders to identify important questions and translate them into meaningful metrics, dashboards, reports, surveys, assessments, and recommendations. The position develops sustainable reporting and analytic practices, including operational dashboards, data pipelines, key performance indicators, and recurring decision-support products. It combines system and service data, surveys, and qualitative feedback into clear findings for audiences ranging from technical staff to senior University leadership. The position directs surveys, assessment, and user-experience research related to technology services and digital learning environments. It works with service owners to define and document service measures, evaluates trends in adoption, service quality, and user experience, and supports evidence-based planning, service improvement, and resource decisions. It responds to emerging leadership needs through focused analysis and develops reusable analytic tools that reduce reliance on manual and ad hoc reporting. The Assistant Director supervises members of the Academic Technology Experience team and oversees hiring, onboarding, goal setting, performance management, workload prioritization, and professional development. The position directs staff working in analytics, reporting, data engineering, survey research, assessment, and related areas, ensuring priorities align with DIT strategy and that deliverables are reliable, well documented, accessible, and sustainable. The role develops a service strategy for scalable analytics and assessment support to other University units. Work may include consulting, creating or maintaining appropriately governed datasets, supporting research and evaluation activities, and contributing to presentations, publications, and grant initiatives. The successful candidate also cultivates faculty and campus partnerships involving learning technologies, digital learning environments, and DIT-supported services, while adhering to University requirements and practices for data governance, privacy, security, accessibility, and responsible use of institutional data. This is an essential position. During a major catastrophic event, weather emergency, or other operational emergency, the employee may be required to work at the normal work location or an alternative location to help maintain University service continuity. The position may require evening, night, weekend, or different-shift work for extended periods. It has an in-person component at the College Park, Maryland location; telework is not guaranteed.

Requirements

Bachelor’s degree from an accredited college or university.
Seven years of professional experience in data analysis, data reporting, or database management.
Two years of experience supervising or managing professional staff.
Knowledge of tools and technology used to support instruction.
Oral and written communication skills.
Skill in using Google Office products.
Ability to set priorities and meet deadlines.
Ability to multitask while demonstrating a commitment to customer service.

Nice To Haves

Experience in a higher education setting, particularly within central information technology.
Experience with learning management system data, learning analytics, or educational technology evaluation.
Doctoral degree and experience in academic research.
Proficiency with SQL and at least one analytic programming language such as Python or R.
Ability to develop visual and narrative presentations that identify consequential findings and translate technical and analytical concepts into clear language and visual narratives for executive and other non-technical audiences.
A track record of turning complex datasets and analyses into executive-level presentations and other decision-support products.
Proficiency with data analysis and visualization tools such as Tableau or Power BI.

Responsibilities

Lead strategic analytics, assessment, reporting, and data-informed decision support for DIT academic technology, digital services, and related systems.
Partner with DIT leaders, service owners, technical teams, and campus stakeholders to identify analytical questions and produce metrics, dashboards, reports, surveys, assessments, and recommendations.
Develop sustainable reporting and analytic practices, including operational dashboards, data pipelines, key performance indicators, and recurring decision-support products.
Synthesize system data, service data, survey results, and qualitative feedback into clear findings for technical staff and senior University leadership.
Direct surveys, assessment, and user-experience research related to technology services and digital learning environments.
Work with service owners to define and document service measures and evaluate adoption, service quality, and user-experience trends.
Support evidence-based planning, service improvement, and resource decisions; respond to emerging leadership needs with focused analysis.
Develop reusable analytic tools that reduce dependence on manual and ad hoc reporting.
Supervise Academic Technology Experience team members, including hiring, onboarding, goal setting, performance management, workload prioritization, and professional development.
Direct staff engaged in analytics, reporting, data engineering, survey research, assessment, and related work; align team priorities with DIT strategy and ensure deliverables are reliable, documented, accessible, and sustainable.
Develop a service strategy for scalable analytics and assessment support to other University units.
Consult on, create, and/or maintain appropriately governed datasets; support research and evaluation activities; contribute to presentations, publications, and grant initiatives.
Cultivate faculty and campus partnerships involving learning technologies, digital learning environments, and DIT-supported services.
Work in alignment with University requirements and practices related to data governance, privacy, security, accessibility, and responsible use of institutional data.
During operational emergencies, work at the normal or an alternative location as needed to help maintain continuity of University services.