Associate Director, Business Intelligence

Furman University • Lexington, MA

13d

About The Position

Furman University seeks an experienced Associate Director of Business Intelligence to lead analytical initiatives across Finance & Administration, the Investment Office, and IT. This senior role transforms complex institutional data into actionable intelligence that supports the university’s long-term financial sustainability and operational excellence. The Associate Director will champion advanced analytics and AI integration, ensuring data-driven insights inform the university’s strategic decision-making.

Requirements

• At least 5 years of experience in business intelligence, data analytics, or a closely related field; experience in a complex institutional or financial environment is preferred.
• Bachelor’s degree in Data Science, Finance, Economics, Statistics, or a related quantitative field.
• Strong command of modern data visualization software, predictive modeling languages, SQL, and Python.
• Demonstrated ability to synthesize large, complex datasets into clear, executive-level insights.
• Exceptional ability to translate technical findings into strategic recommendations for non-technical senior leadership.
• Proven track record of setting best practices and quality standards across an analytical team or function.

Nice To Haves

• Master’s degree.
• Experience in higher education administration or endowment management.
• Familiarity with AI and machine learning techniques applied in financial or operational settings.
• Working knowledge of major financial databases and cloud-based data platforms.
• Demonstrated success leading cross-functional initiatives with multiple departmental stakeholders.
• Familiarity with CRM-based analytics environments.

Responsibilities

• Design and deliver business intelligence solutions that turn raw data into clear, visually compelling insights for end users across the university.
• Apply modern visualization platforms and predictive modeling techniques to make complex information accessible and actionable.
• Lead end-to-end analysis, from data sourcing through interpretation and prediction, to inform strategic priorities, financial planning, and investment decisions.
• Maintain expertise across analytic platforms, database environments, and emerging technologies; evaluate new tools, methodologies, and AI-driven capabilities relevant to higher education.
• Establish and uphold consistency, accuracy, and professionalism across analytical deliverables, and define team-wide best practices for reliable, repeatable work aligned with institutional priorities.
• Analyze institutional spending patterns, endowment performance, and revenue dynamics to support financial sustainability.
• Lead thoughtful adoption of AI tools throughout administrative operations, identifying opportunities for automation, predictive insight, and intelligent reporting with measurable outcomes.
• Coordinate between IT, Finance, and the Investment Office to support data quality, security, and seamless integration.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior