Director of Business Intelligence & Infrastructure - Digital Learning at UT

Director of Business Intelligence & Infrastructure - Digital Learning at UT

Digital Learning at UT, is a newly created unit charged with advancing UT's commitment to discovery, creativity, learning, and engagement, specifically for online learners. Using advanced and innovative technologies, Digital Learning at UT will provide scalable solutions that enhance the online learning experience and reduce barriers to student access and success, providing a tremendous impact to online learners across the state and the nation. At Digital Learning, we want to be bold and impactful, transforming the future of online education through innovative thinking and collaborative problem-solving. Join our dynamic and inclusive Digital Learning team where we take pride in teamwork, excellence, and a shared commitment to shaping the future through education and innovation.

The Director of Business Intelligence & Infrastructure plays a critical role within the Digital Learning Data Science Technologies (DST) team by serving as the technical leader of data engineering in the Digital Learning (DL) division. Leads establishment, operation, and evaluation of a data infrastructure that supports DL's strategic decision making and reporting. Oversees secure collection, cleaning, standardization, transformation and storing of data from various sources. Understands higher education's complex reporting requirements of marketing, admissions, enrollment, academic program, and other student data. Integrates and models data from internal systems such as Slate, Banner, and Canvas and external sources such as Google Analytics, Salesforce, CPD platforms, and others.

The salary range for this position is approximately between $95,000-$110,000 per year with the potential for a hybrid or remote working capacity.

Qualifications:

Job Duties

Data Engineering & Infrastructure

Provide technical leadership for the architecture of the DL's business intelligence infrastructure.
Gather, store, and model data from internal and external sources to support the DL's continuous improvement efforts.
Lead efforts to develop, monitor, and maintain DL's data warehouse and client/server environment of all relevant data, ensuring data quality. Collaborate closely with the Solutions Engineering (SE) team during the initial stages of the data warehouse construction.
Develop and manage partnerships with BI experts and data owners throughout the UT System.
Collaborate with the DST team to deliver data for division's reports, dashboards and presentations.
Provide day-to-day management of BI applications, projects, services and oversee completion and follow through of projects and service requests.
Prepare and maintain technical documentation describing DL's data warehouse and client/server environment.
Business Intelligence Leadership Serve as a member of the DL's Technology leadership team.
Participate in data governance planning and operation.
Serve as the subject matter expert of DL's data engineering and warehousing efforts.
Evaluate the impact of data engineering innovations and applications intended to improve DL outcomes. Implement innovative or updated applications as needed.
Utilize effective project planning techniques to break down projects into tasks and ensure deadlines are met.
Technical Leadership & Mentorship Lead the Data Analyst within the DST team to create computational data models that describe the DL's data systems.
Collaborate with the Data Analyst within the DST team in order to improve the effectiveness of computational models.
Education & Experience

Required Education and Experience: Master's degree in related field
5 or more years experience in business intelligence, software engineering, or data analysis
Preferred Experience: Progressively responsible experience leading business intelligence or similar work in higher education data science skills, including statistics, machine learning, and data management

For full consideration, applicants must attach a letter of interest, resume, and the name, address, email, and phone number of three professional references, in addition to completing the applicant file to the Human Resources online application system, Taleo.

Screening of applicants will begin immediately and continue until the position has been filled. DL_UT