Description
This position will be responsible for data strategy, data governance, and data quality campus-wide. The Chief Data Officer will lead institutional efforts to maximize the value of the college’s data assets through analytics, reporting, automation, AI transformation, and improved data management practices. The position will establish and oversee cross-functional data governance practices, including data definitions, stewardship, compliance, and quality standards, while partnering with data custodians across campus. The CDO will also oversee Institutional Research and provide strategic guidance on institutional performance, state and federal reporting, and other key metrics aligned with College priorities.
Examples of Duties
- Identify high-value data initiatives and execute related plans to maximize value of the college’s data assets.
- Manage analysis projects to improve student experiences, gain additional key insights, and achieve best outcomes on institutional data.
- Develop policies and processes to increase automation of routine data requests for improved efficiency and optimized data use, including use of AI tools and modeling where applicable.
- Monitor and advise performance assessment through Performance Based Funding and other state and federal metrics
- Improve data definitions, data lineage documentation, and metadata guidelines for applicable business processes.
- Ensure that data is handled in compliance with pertinent laws, rules, policies, and regulations.
- Create a cross-departmental Data Governance Council featuring leads from Admissions, Academics, and IT to manage compliance, data definitions, and state & federal standards.
- Supervise Institutional Research to maximize insights cross-departmentally and further align data requests and reporting with college goals and shared vision.
- Meet with data custodians across campus regularly to support their roles and duties, gain efficiencies within and between offices, and identify and resolve data quality issues.
- Other duties as assigned
Minimum Qualifications
- Master’s degree in Data Science, Business Analytics, Computer Science, or a related field
- Demonstrated leadership experience, including the ability to lead cross-functional initiatives and work effectively with executive leadership, technical teams, and business-area data owners
- Strong knowledge of data management principles, including data definitions, data quality, data stewardship, data security, regulatory compliance, and responsible use of institutional data
- 5+ years’ experience of progressively responsible experience in data analytics, statistical modeling, machine learning models & data science functions
- 5+ years’ experience with Python, R, SQL
- Excellent communication skills with the ability to present complex data in a clear and concise manner
Preferred Qualifications
- Experience in higher education, preferably within a public university or college environment.
- Knowledge of Performance Based Funding, accountability metrics, accreditation reporting, and other state or federal performance measures applicable to higher education.
- Demonstrated experience leading organizational change and improving data literacy across functional areas.
- Relevant professional certifications in data management, analytics, cloud technologies, database administration, data governance, or related areas.
- Experience with business intelligence and visualization tools
All candidates must be legally authorized to work in the United States without requiring immigration sponsorship, including but not limited to non-immigrant visas, such as H1B, STEM, or F1, now and in the future.
New College of Florida (NCF) is an equal opportunity employer and educational provider committed to a policy of non-discrimination for any member of the NCF community on the basis of race, creed, color, sex, religion, national origin, age, disability, genetic information, veterans’ status, marital status, or any other legally protected group status. This policy applies to faculty, staff, students, volunteers, visitors, applicants, and contractors in a manner consistent with applicable laws, regulations, ordinances, orders, and University policies, procedures, and processes.
