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Director, Business Intelligence Team

Job in Oxford, Butler County, Ohio, 45056, USA
Listing for: Miami University
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems/ Tech Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 135000 - 155000 USD Yearly USD 135000.00 155000.00 YEAR
Job Description & How to Apply Below

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

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.

Responsibilities
  • 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; Banner a plus)
  • Experience with cloud‑based data ecosystems and modern data architectures (e.g., Snowflake, Tableau, dbt, Airflow, etc.)
  • Experience applying predictive analytics, machine learning, or AI capabilities to business or institutional challenges
  • Relevant certifications or formal training in data, analytics, or leadership
Knowledge, Skills, And Abilities (KSAs)
  • Ability to align…
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