Director, Business Intelligence Team

## Director, Business Intelligence Team Apply remote type:
Hybrid locations:
Hoyt Hall:
Oxford Campus time type:
Full time posted on:
Posted Todayjob requisition :
JR104165
** Job Title
** Director, Business Intelligence Team
** Department
* * Solution Delivery
** Worker Type
** Regular
* * Pay Type
** Salary
* * Position Salary Minimum**$135,000
** Position Salary Maximum**$155,000
* Salary will be commensurate with the level of the position, education, and experience.
*** Scheduled Weekly Hours
** 40
* * Benefit Eligible
** Yes
* * Screening Date
**** Job Description Summary
** The Director of Business Intelligence & Analytics leads the University’s efforts to deliver trusted, accessible, and actionable data that powers informed decision-making across the institution.
This role sets the direction for modern analytics and data solutions, advancing a scalable, forward-looking data architecture that meets the evolving needs of the University. In close partnership with divisional analytics leaders and institutional stakeholders, the Director ensures alignment with data governance practices—building a secure, standardized data environment that reduces silos and strengthens institutional trust.
The Director advances data as a strategic institutional asset, enabling leaders to make faster, clearer, and more confident decisions. Through strong leadership and collaboration, this position builds and develops a high-performing, multi-disciplinary team and a modern data ecosystem that brings our vision of Data At Your Fingertips to life.
This is an opportunity to help shape the University’s data-driven future and lead the next phase of transformation in how data is used across the institution.
** Job Description
**** Duties:
*** Partner with institutional data and analytics leaders to shape and advance a shared vision for modern, trusted analytics aligned to evolving data architecture practices.
* Lead the continued rebuilding and advancement of the University’s data platform, guiding the evolution of warehouses, lake houses, and data marts toward a more scalable, integrated ecosystem.
* Work collaboratively across the institution to reduce data silos and support the rehoming of data into secure, standardized, and sustainable environments.
* Ensure data is reliable, well-managed, and accessible, establishing practices that strengthen institutional trust and long-term usability.
* Guide and deliver analytics and reporting solutions that provide clear, actionable insights aligned to institutional priorities.
* Expand and support self-service analytics and advance data literacy across the institution, enabling confident and effective use of data in decision-making.
* Build, lead, and develop a high-performing, multi-disciplinary team of analytics, data engineering, and reporting professionals.
* Establish strong, collaborative relationships with academic and administrative leaders to understand priorities and deliver meaningful, aligned solutions.
* Provide insights and guidance to senior leaders to support institutional strategy and decision-making.
* Lead institutional change efforts related to data, analytics, and platform modernization, ensuring coordination, clear direction, and measurable outcomes.
* Accountable for the delivery and effectiveness of institutional analytics solutions, ensuring alignment with data governance strategy, privacy, security, and consistent practices.
* Other duties as assigned.
***
* Minimum Qualifications:

***** Bachelor’s degree or higher in Data Science, Statistics, Computer Science, or a related field earned by date of hire
* AND eight or more years of progressively responsible experience in data, analytics, or related disciplines
* AND direct experience leading direct reports and functional teams
* AND leading an institution-level major initiative in analytics, data engineering, or business intelligence.
***
* Preferred Qualifications:

***** Master’s degree in Data Science, Statistics, Computer Science, or a related field
* Experience in higher education or similarly complex and/or siloed organizations
* Experience with Workday FIN/HR/Payroll and Student data structures, integrations, and reporting (PRISM or similar;…