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Chief Data Officer

Job in Ogden, Weber County, Utah, 84403, USA
Listing for: Weber State University
Full Time position
Listed on 2026-10-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below

Weber State University is an Equal Opportunity Employer committed to creating an environment welcoming to all individuals. We strive to create a culture where everyone feels valued and appreciated. All qualified applicants will receive consideration for employment without regard to protected categories, such as disability, sex, sexual orientation, gender identity, race, religion, national origin, veterans status, or others, as required by law and university policy (see Weber State University's Policy and Procedure Manual 3-32).

Position Information

Position Title

Position Title Chief Data Officer

Requisition Number

Requisition Number E00061P

Position Category

Position Category Executive

Campus Location

Campus Location Weber State University - Ogden, UT

Months per year

Months per year 12

Pay Grade

FLSA

FLSA Exempt

Job Summary/Basic Function

The Chief Data Officer ( CDO ) serves as the primary data strategist and operational data leader at Weber State University. Reporting directly to the Vice President for Administrative Services and working in close strategic and operational partnership with the Chief Information Officer ( CIO ), the CDO leads university-wide data governance, data privacy, analytics infrastructure, and data-driven decision-making to support student success and operational excellence.
This role balances high-level policy with tactical execution. Beyond establishing governance policies, the CDO actively engages with data pipelines, reporting frameworks, and analytical tools to turn raw data into actionable institutional insights. The CDO ensures institutional data is accurate, secure, compliant with privacy mandates, and accessible for strategic planning, enrollment management, and academic outcomes.
Key Responsibilities

  • Data Pipeline & Model Operations: Actively audit, build, and optimize institutional data workflows, predictive models, and reporting structures alongside the core data analyst team.
  • Student Success Analytics: Responsible for the analysis of complex datasets related to student enrollment, engagement, retention, course offering optimization, and student support services to yield actionable insights.
  • Self-Service & Dashboard Development: Responsible for the design, deploy, and maintain user-friendly dashboards and self-service analytics platforms for academic and administrative decision-makers.
  • Privacy Framework Operationalization: Establish, maintain, and enforce robust data privacy protocols aligned with FERPA , state privacy regulations, and industry standards across all campus data handling practices.
  • Access Controls & Data Minimization: Work directly with data stewards and IT security teams to define, audit, and maintain role-based access controls, data retention schedules, and data minimization practices.
  • Privacy Audits & Risk Assessments: Conduct practical data privacy assessments and security risk evaluations across administrative departments, academic units, and third-party software integrations.
  • Ethical Data Management: Establish campus-wide standards for ethical data collection, algorithmic transparency, and responsible AI usage in student monitoring and institutional analytics.
  • Data Integrity & Standard Enforcement: Develop and directly supervise data quality standards, data dictionaries, and master data management across core enterprise platforms.
  • Policy Translation: Translate abstract governance policies into practical, day-to-day operational workflows, standard operating procedures (SOPs), and data stewardship guidelines.
  • Infrastructure Coordination: Partner closely with the CIO to ensure institutional data architecture, cloud storage, and ETL pipelines align with operational needs and scalability.
  • Academic & Administrative Alignment: Build collaborative relationships with Associate Provosts, Deans, Vice Presidents, and department heads to identify critical data needs and deliver custom analytical solutions.
  • Data Literacy & Capability Building: Responsible for the hands-on training sessions and workshops for faculty and staff to build practical data literacy and self-service capabilities across campus.
Required Qualifications

Required:

  • Master’s degree in Data Analytics, Computer Science, information Systems, Statistics, Higher Education Administration or related field.
  • 8 years of related work experience
  • Experience with database languages, business intelligence/data visualization tools, data modeling, and complex reporting environments.
Preferred Qualifications

Preferred:

  • Experience in higher education,…
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