Director, Data Management & Business Intelligence

University of North Texas; Denton (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

The University of North Texas invites applications for a Director, Data Management & Business Intelligence in Denton. This technical leadership role directs data management, data quality, master data management and data stewardship across DAIR, overseeing analytics modelling, integration, validation and BI products.

You will guide dashboards for faculty and institutional reporting, lead migration from SAS-based analytics to Microsoft Fabric, supervise staff, set priorities, and collaborate with

Qualifications

• Master's degree in a related field.
• Five years of data analysis experience required.
• Experience with data management, data quality and data governance.
• Knowledge of ERP systems and BI tools.

Responsibilities

• Direct data management, standards, metadata and stewardship.
• Lead data quality, validation and reconciliation; investigate exceptions.
• Direct BI dashboards, visualizations and reusable analytic products.
• Lead SAS-to-Fabric analytical migration requirements, testing and documentation.
• Supervise assigned data-management staff and set priorities.

Skills

Data management

Data quality

Metadata

Stewardship

SQL

Data integration

Master data management

ERP systems

SAS Visual Analytics

Power BI

Microsoft Fabric

Education

Master's degree in related field

Tools

SAS Visual Analytics

Power BI

Microsoft Fabric

Job description

Title

Title: Director, Data Management & Business Intelligence

Employee Classification: Director, Data Management

Campus: University of North Texas

Division: UNT-Enrollment Management

Sub Division-Department: UNT-Data Analytics & Instl Rsrch

Department: UNT-Data Analytics & Instl Rsrch-110110

Job Location: Denton

Salary: Commensurate with Experience

FTE: 1.000000

Retirement Eligibility: TRS Eligible

About Us - Values Overview

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year. We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team. Learn more about the UNT System and how we live our values at www.UNTSystem.edu.

Department Summary

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. Our mission is to provide trusted institutional intelligence that helps the university understand performance, anticipate change, make informed decisions and evaluate whether those decisions improve student and institutional outcomes. DAIR serves as UNT’s institutional authority for official data and reporting while also providing analytical capabilities that move beyond describing what happened. The team interprets institutional performance, identifies emerging risks and opportunities, develops predictive and forecasting models, provides market and competitive intelligence, and supports the evaluation of strategies and interventions. Working in partnership across the university, DAIR develops and maintains trusted data products, institutional definitions, analytical models and business intelligence solutions that make information more reliable, accessible and reusable. Through strong data governance and quality assurance practices, DAIR helps ensure that institutional measures are consistently defined, validated and fit for decision-making. DAIR’s work is organized around a simple objective: move from data to evidence, from evidence to action, and from action to measurable impact. This includes supporting leaders in understanding what is happening, why it is happening, what may happen next, where action is possible, and whether that action produced the intended result. The team also supports the development of institutional data literacy by helping faculty and staff understand, interpret and appropriately use data, analytics and analytical tools to address priority institutional questions.

Position Overview

This technical leadership position directs DAIR data management, data quality, master data management, institutional definitions and data stewardship. The Director oversees analytical data modelling, 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.

Minimum Qualifications

Master's degree in related field and five years of data analysis work experience is required.

Knowledge, Skills And Abilities

• 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 modelling 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.

Preferred Qualifications

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

Job Duties

• 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 QA 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.

Physical Requirements

• Communicating with others to exchange information.


• Sedentary work that primarily involves sitting/standing.


• Moving about to accomplish tasks or moving from one worksite to another.

Environmental Hazards

• No adverse environmental conditions expected.

Work Schedule

Monday - Friday

Driving University Vehicle

No

Security Sensitive

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted.

Benefits

For information regarding our Benefits,

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit -and takes actions to prevent - discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.