Director, Business Intelligence Team

About the role

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.

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, lakehouses, and data marts toward a more scalable, integrated ecosystem.
• Collaborate 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.
• Build 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.

Requirements

• 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.
• 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 and skills in translating complex data and technical concepts into clear, actionable insights for non-technical audiences.
• Experience in building trust, influencing, and developing strong working relationships across a wide range of stakeholders.
• Experience enabling the effective use of modern analytics and reporting tools (e.g., Power BI, Tableau, or similar), Oracle OAS/ODI, and RPD.
• Experience prioritizing and managing multiple initiatives in a dynamic and evolving environment.
• Commitment to fostering a data-informed culture, including promoting continuous improvement and data literacy.