Associate Director - BI Reporting​/Operational Development

Salary: $82,363.00 - $96,897.00 Annually
Location : DX Building
Job Type: FT Exempt Salaried Staff
Job Number: FY2605693
Division: VP Digital Transformation/CIO
Department: Business Intel & Research Services
Opening Date: 03/19/2026
Closing Date: Continuous
First Review Date: 04/10/2026
Required Documents Needed to Apply: Resume
Applicant Support:

Position Announcement
Utah Valley University is seeking an Associate Director of Business Intelligence Development & Operational Reporting to lead a talented BI team and guide the delivery of enterprise analytics, dashboards, and reporting that support institutional decision-making and student success. This role blends people-centered leadership with hands-on technical direction in a collaborative, mission-driven environment.

Summary of Responsibilities

• Provides escalated support to campus data analysts and consumers. Effectively manages large-scale, high-impact projects that involve departments outside of the BIRS team to meet commitments in time to delivery and features. Effectively manages team resources, identifying ways the BIRS team can improve its processes and maximize resources. Oversees external contractors/developers as needed. Continuously monitors development procedures to improve efficiency, effectiveness, and usability of delivered BI solutions.
  
  Documents and maintains procedures so that they are transparent to university data analysts and assessed on a regular basis for current validity. Ensures that university assets such as code, business intelligence and data products, business metadata, and associated documentation meet data retention rules and data governance protocols.
• Leads a team of highly skilled and efficient BI developers. Supports team members individually and collectively so they can meet reasonable milestones, experience professional growth in their roles, and act as the university's subject matter experts on business intelligence development and data.
• Prioritizes and scopes projects for business intelligence solutions across the BIRS team, working with stakeholders, the director, and Dx leadership. Monitors BIRS team capacity, adjusting where necessary to meet deadlines and ensure focus on the highest priority projects for the university. Leads weekly BIRS department meetings for project accountability stand-ups, work sessions, and project planning.
• Supports university data literacy, data analysis, and artificial intelligence capabilities by developing training plans and procedures for new business intelligence analysts across the university. Leads department and university training sessions on technical business intelligence tools and topics.

Qualifications / Licenses / Certifications

Bachelor's degree in a relevant field such as business administration, computer science, or statistics with at least three years of experience in a related field OR a bachelor's degree with at least five years of experience in a related field.

Preferred Qualifications:
Master's degree in a relevant field such as business administration, computer science, or statistics with at least three years of experience in a related field OR a master's degree with at least five years of experience in a related field.

Knowledge / Skills / Abilities

Knowledge

• Advanced knowledge and understanding of the different types of business intelligence tools available in the market, their features, and capabilities.
• Advanced knowledge of BI technologies such as ETL, data warehousing, reporting, analytics, data visualization, and artificial intelligence. Knowledge of predictive and prescriptive analytics.
• Advanced knowledge of data management principles, including data quality, data profiling, data integration, data modeling, data mapping, and data governance.
• Experience in using data intelligence tools to catalog metadata, following a mature data governance model, and employing techniques and procedures to ensure data quality and appropriate publication of business intelligence assets.
• Advanced understanding of database management systems and principles, including using relational databases, No
  
  SQL databases, and data warehouses.
• Advanced knowledge of SQL programming, data modeling…