Executive Director Of Data & Analytics

Develop and execute a comprehensive enterprise data and analytics strategy aligned with the OU Foundation’s strategic priorities and fundraising objectives.

Establish data as a strategic organizational asset and create a roadmap for increasing its value across the Foundation.

Partner with executive leadership to identify opportunities where data and analytics can improve organizational performance, fundraising effectiveness, donor engagement and strategic decision-making.

Assess current data capabilities, technologies, processes and organizational practices and establish priorities for future-state development.

Develop an enterprise roadmap for data modernization, analytics maturity, reporting and technology enablement.

Identify emerging technologies, including artificial intelligence, machine learning, predictive analytics and automation, which may create meaningful opportunities for the Foundation.

Establish common definitions and business rules for critical Foundation data and performance metrics.

Establish processes for identifying, measuring and resolving data quality issues.

Lead the development of an enterprise analytics capability that moves the Foundation from descriptive reporting toward predictive and prescriptive insights.

Develop executive dashboards and performance reporting that clearly communicate trends, opportunities, risks and outcomes.

Create analytics capabilities that support fundraising strategy, prospect identification, portfolio management, donor engagement, campaign planning, stewardship and organizational performance.

Develop predictive models and analytical approaches that help identify opportunities, anticipate trends and support strategic resource allocation.

Establish standards for analytics development, documentation, validation and ongoing maintenance.

Partner with development and advancement leadership to use data to strengthen fundraising performance and donor relationships.

Develop analytics and insights related to donor acquisition, retention, upgrading, reactivation, giving behavior, capacity, affinity, engagement and lifetime value.

Serve as a strategic advisor to Foundation leadership on data, analytics and technology-enabled decision-making.

Provide strategic direction regarding data warehouses, data lakes, integration, reporting platforms, CRM data, APIs and other data technologies.

Promote integration and interoperability among Foundation systems and data sources.

Establish organizational structures, roles, responsibilities and professional development plans that support the Foundation's evolving data needs.

Develop and manage the data and analytics strategic roadmap, including priorities, dependencies, resource requirements and expected outcomes.

Establish strong relationships with leaders throughout the Foundation and University of Oklahoma.

Develop a culture of collaboration, innovation, accountability and continuous learning.

Perform related responsibilities as required or assigned.

Demonstrated experience developing and implementing data strategies, governance frameworks, analytics capabilities and business intelligence solutions.

Experience leading and developing professional teams.

Demonstrated ability to work effectively with executive leadership and translate complex technical concepts into business recommendations.

Strong understanding of data architecture, analytics, business intelligence, data governance and data management principles.

Demonstrated experience using data to influence strategic decision-making and organizational performance.

Excellent written and interpersonal communication, presentation, relationship-building and stakeholder-management skills.

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.

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.

Commensurate with experience.