Director, Business Intelligence Team

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

2026-05-13

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, lakehouses, 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.

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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; Banner a plus)

• Experience with cloud-based data ecosystems and modern data architectures (e.g