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University of Maryland - College Park

Public university in College Park, MD

Assistant Director of Strategic Analytics

Business IntelligenceConfirmed live in the last 24 hours
Full-timeCollege Park, MD, USA$156.1k - $187.3k

About the Job

Requirements

  • A bachelor's degree from an accredited college or university is required.
  • Seven years of professional experience in data analysis, data reporting, or database management are required.
  • Two years of experience supervising or managing professional staff are required.
  • Knowledge of tools and technology utilized to support instruction is required.
  • Skill in oral and written communication is required.
  • Skill in using Google Office products is required.
  • Ability to set priorities and meet deadlines is required.
  • Ability to multitask while demonstrating a commitment to customer service is required.
  • The role has an in-person component with expected weekly time at the College Park, Maryland location; telework is not guaranteed.
  • The successful candidate must complete employment eligibility verification on Form I-9 and provide documents establishing identity and work authorization as required by federal immigration law.

Responsibilities

  • Lead strategic analytics, assessment, reporting, and data-informed decision support for academic technology, digital services, and related systems.
  • Partner with DIT leaders, service owners, technical teams, and campus stakeholders to identify high-value questions and translate them into metrics, dashboards, reports, surveys, assessments, and actionable recommendations.
  • Lead development of sustainable reporting and analytic practices, including operational dashboards, data pipelines, key performance indicators, and recurring decision-support products.
  • Synthesize system data, service data, surveys, and qualitative feedback and communicate findings to 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; evaluate trends in adoption, service quality, and user experience; and support evidence-based planning, service improvement, and resource decisions.
  • Respond to emerging leadership needs through focused analysis and develop reusable analytic tools that reduce reliance on manual and ad hoc reporting.
  • Supervise members of the Academic Technology Experience team, including staff 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, aligning priorities with DIT strategy and ensuring deliverables are reliable, well 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; and 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.
  • 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 continuity of University services.
  • May be required to work evenings, nights, weekends, or different shifts for extended periods.

Desired Qualifications

  • Experience in a higher education setting, particularly within central information technology.
  • Experience with learning management system data, learning analytics, or educational technology evaluation.
  • A 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 and emphasize 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.

About the Company

University of Maryland - College Park

Public university in College Park, MD

University of Maryland - College Park is the flagship institution of the University System of Maryland in College Park, Maryland. It provides undergraduate and graduate education and conducts research through its colleges and schools.

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