Chief Data & Analytics Leader for Higher Education Growth

Southwestern University; Georgetown (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Southwestern University in Texas seeks a Chief Data Analytics Officer (CDAO) to lead institution-wide data strategy, governance, analytics, and reporting. The CDAO will report to the President and guide data-driven decisions to support growth, student success, and financial health.

The successful candidate will partner with academic, enrollment, finance, IT, student affairs, and advancement leaders to disseminate data, develop predictive models, and ensure accurate, secure, and timely

Qualifications

• Master's degree (doctorate preferred) in a quantitative field with at least eight years in analytics or institutional research.
• Experience managing large-scale datasets and conducting predictive analytics.
• Knowledge of IPEDS is desirable and strong communication for executive decisions.

Responsibilities

• Oversee data governance, business intelligence, analytics, institutional reporting, predictive modeling, and performance measurement.
• Partner with senior leadership across academic affairs, enrollment management, finance, IT, student affairs, advancement, and other areas to translate data into actionable insights.
• Develop and implement university-wide processes for disseminating data requested by divisions, ensuring timely, actionable information.

Skills

Leadership in data analytics

Strategic thinking

Analytical thinking

Communication skills

Data governance

Presentation skills

Adaptability to new systems

Collaboration across teams

AI trends knowledge

Education

Master's degree (doctorate preferred) in statistics/data science/economics/social science research or related field

Job description

Southwestern University in Texas seeks a Chief Data Analytics Officer (CDAO) to lead institution-wide data strategy, governance, analytics, and reporting. The CDAO will report to the President and guide data-driven decisions to support growth, student success, and financial health.

The successful candidate will partner with academic, enrollment, finance, IT, student affairs, and advancement leaders to disseminate data, develop predictive models, and ensure accurate, secure, and timely