Job Description Summary
This position is available within the University of Maryland’s Division of Information Technology (DIT).
The Assistant Director of Strategic Analytics leads strategic analytics, assessment, reporting, and data-informed decision support for DIT’s academic technology, digital services, and related systems. The position 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 high-value questions and translate them into meaningful metrics, dashboards, reports, surveys, assessments, and actionable recommendations. The role leads the development of sustainable reporting and analytic practices, including operational dashboards, data pipelines, key performance indicators, and recurring decision-support products. The incumbent synthesizes information from system data, service data, surveys, and qualitative feedback to communicate findings clearly to 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. The Assistant Director also 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 is responsible for staff hiring, onboarding, goal setting, performance management, workload prioritization, and professional development. The position provides direction for staff engaged in analytics, reporting, data engineering, survey research, assessment, and related work, ensuring that team priorities align with DIT strategy and that deliverables are reliable, well documented, accessible, and sustainable.
The position will also develop a service strategy to offer scalable approaches for providing analytics and assessment support to other University units. Work may include consulting, creating, and/or maintaining appropriately governed datasets, supporting research and evaluation activities, and contributing to presentations, publications, and grant initiatives.
Lastly, the successful candidate will cultivate faculty and campus partnerships involving learning technologies, digital learning environments, and DIT-supported services. The incumbent works in alignment with University requirements and practices related to data governance, privacy, security, accessibility, and responsible use of institutional data. The successful candidate will bring strong analytical judgment, communication skills, and the ability to turn complex information into practical recommendations for diverse stakeholders.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.**
**May be required to work evenings, nights, weekends, or different shifts for extended periods.**
Physical Demands: Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
Licenses/Certifications: N/A
Minimum Qualifications
Education: Bachelor’s degree from an accredited college or university.
Experience: Seven (7) years of professional experience in data analysis, data reporting, or database management. Two (2) years of experience supervising or managing professional staff.
KNOWLEDGE, SKILLS, AND ABILITIES:
Knowledge of tools and technology utilized to support instruction.
Skill in oral and written communication.
Skill in the use of Google Office products.
Ability to set priorities, and meet deadlines.
Ability to multitask while demonstrating a commitment to customer service.
Additional Job Details
Preferences:
- 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.
- Demonstrated ability to develop visual and narrative presentations that identify and emphasize the most consequential findings and translate technical and analytical concepts into clear language and visual narratives for executive and other non-technical audiences.
- Proven 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.
Required Application Materials:
Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week. Telework is not a guaranteed work arrangement.
Visa Sponsorship Information:
- DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.
- F1 STEM OPT support is not available for this position.
Required Application Material: Applications missing below material will NOT be considered
- Resume
- Cover Letter
- List of Three References
Best Consideration Date: November 5, 2026
Posting Close Date: Open until filled
Open Until Filled: Yes
Job Risks
Not Applicable to This Position
Financial Disclosure Required
No
Department
DIT-ATI-Academic Technology Experience (LTE)
Worker Sub-Type
Staff Regular
Salary Range
$156,080.00 - $187,296.00
For more information on Regular Exempt benefits, select this link.
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.
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