Executive Director of Data & Analytics

The Executive Director of Data and Analytics provides strategic leadership for the OU Foundation’s enterprise data and analytics function, establishing the vision, strategy, governance, capabilities and infrastructure necessary to leverage data as a strategic organizational asset. This position is responsible for creating an integrated approach to data management, business intelligence, analytics, reporting, and data governance that enables Foundation leadership and development professionals to make informed, timely, and actionable decisions.

The Executive Director will transform complex data into meaningful insights that strengthen fundraising, donor engagement, stewardship, operations, fiscal management, and organizational performance. Working closely with executive leadership and stakeholders across the OU Foundation and the University of Oklahoma, the Executive Director will establish a trusted data environment, improve data quality and accessibility, advance analytics capabilities, and develop a culture in which data is consistently used to inform strategy and decision-making.

The ideal candidate is a strategic, innovative, and collaborative data leader who combines strong technical understanding with business acumen, executive communication skills, and a deep appreciation for the role that philanthropy and advancement play in supporting the University of Oklahoma. Education/Experience Bachelor's degree in data science, information systems, computer science, business analytics, statistics, business administration or a related field.

10 or more years of progressive experience in data, analytics, business intelligence, information management, technology or a related discipline. Considerable experience leading enterprise data and analytics initiatives. Equivalent combination of education and experience will be considered. Preferences Experience in higher education, advancement, philanthropy, nonprofit organizations or a complex mission-driven environment.

Experience with fundraising, advancement, CRM, donor or constituent data. Experience implementing enterprise data governance programs. Experience with predictive analytics, machine learning, artificial intelligence or advanced statistical modeling. Experience with modern business intelligence and data visualization platforms.

Experience leading data modernization or digital transformation initiatives. Experience integrating data across multiple enterprise systems. Experience working with major fundraising/advancement CRM platforms, such as Salesforce, and related ecosystems. SALARY RANGE: Commensurate with experience.