Director, Data Management & Business Intelligence

University of North Texas System • Denton, TX

1d • Onsite

About The Position

This technical leadership position directs DAIR data management, data quality, master data management, institutional definitions, and data stewardship. The Director oversees analytical data modeling, integration, validation, and business intelligence products that make university information reliable, accessible, and usable. The role leads development of dashboards and data visualizations for faculty, institutional reporting, and benchmarking, and guides DAIR requirements and quality assurance during modernization of SAS-based analytics to Microsoft Fabric or other approved tools. The Director supervises assigned staff, sets operational priorities, resolves data issues with institutional partners, and contributes to DAIR strategic planning and delivery. Training and user enablement support adoption of these products but are not the primary purpose of the position.

Data, Analytics & Institutional Research (DAIR) brings together institutional research, decision science, market intelligence, business intelligence, and data governance to support evidence-informed decision-making across UNT. Its mission is to provide trusted institutional intelligence that helps the university understand performance, anticipate change, make informed decisions, and evaluate institutional outcomes. DAIR serves as UNT’s institutional authority for official data and reporting while providing analytical capabilities, including performance interpretation, risk and opportunity identification, predictive and forecasting models, market and competitive intelligence, and strategy evaluation. The team develops trusted data products, institutional definitions, analytical models, and BI solutions, and supports data literacy among faculty and staff.

Requirements

• Master's degree in a related field.
• At least five years of data analysis work experience.
• Experience with data management, data quality, metadata, stewardship, SQL, data integration, and master data management practices.
• Knowledge of ERP systems, institutional data definitions, statistical and analytical reporting, data warehousing, and business intelligence tools such as SAS Visual Analytics, Power BI, Microsoft Fabric, or comparable platforms.
• Ability to direct analytical data modeling and visualization, validate complex datasets, document business rules, reconcile reporting results, and manage technology transitions.
• Strong supervisory, project prioritization, communication, and cross-functional collaboration skills.
• Ability to explain data limitations and analytical findings to technical and nontechnical stakeholders.
• Applicants must submit at least two professional references.

Nice To Haves

• Master's degree in a related field and eight years of data analysis work experience.

Responsibilities

• Direct data management, standards, metadata, stewardship, and master-data practices; establish consistent institutional definitions.
• Lead data quality, validation, and reconciliation; investigate exceptions and coordinate remediation with data owners.
• Direct BI dashboards, visualizations, and reusable analytic products supporting faculty, benchmarking, and institutional decisions.
• Lead DAIR SAS-to-Fabric analytical migration requirements, testing, documentation, and continuity of reporting.
• Develop data models, transformations, and integrated analytical datasets for institutional reporting and research.
• Establish quality assurance controls for data products, calculations, access, and refresh processes; monitor reliability.
• Supervise assigned data-management staff, set priorities, manage delivery schedules, and provide technical leadership.
• Provide BI and Insights tool guidance, documentation, and targeted user training.
• Partner with DAIR, IT, and institutional stakeholders on priorities, service improvement, and secure data use.

What This Job Offers

• Job Type: Full-time
• Career Level: Director