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Chief Data and AI Officer
Universities of Wisconsin. Lead four team members and coach each into their best work .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data, analytics, and AI strategies while fostering collaboration and governance across university operations. Proficient in translating complex data into actionable insights and ensuring ethical AI practices.
Highest-signal resume keywords
Master's Degree7 Years Experience In AnalyticsProficiency In SQLProficiency In PythonAI Ethics And Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceBusiness IntelligenceAI ApplicationMachine LearningData GovernanceAnalytics-Driven Decision-MakingData TransformationCloud Data PlatformsBI ToolsData Analytics
Soft Skills
Exceptional CommunicationRelationship-BuildingStakeholder EngagementCoaching And MentoringTranslating Technical Information
Tools & Technologies
AWSTableauAnalytics ToolsData PlatformsAI Models
Industry Keywords
Data Governance FrameworksAI EthicsComplianceDigital TransformationStrategic Insights
Tech Stack
Tools & technologiesAWSCloudPythonSQLTableau
About the role
Key responsibilities & impact- Lead four team members and coach each into their best work
- Lead the organization's data, analytics, and AI strategy in alignment with university mission and values
- Build data and AI fluency across the UWGB community
- Establish governance mechanisms for trust in data, AI models, and analytics-driven decision-making
- Identify, pilot, and scale AI use cases to improve UWGB efficiency and effectiveness
- Deliver analytics and AI across finance, HR, operational, and academic data
- Partner with university leaders on strategic initiatives and digital transformation
- Develop an enterprise operating model integrating data governance, AI ethics, and analytics-driven insights into business processes
- Establish vision, governance, and operational frameworks for data and AI
- Transform data into strategic insights and ensure ethical and responsible AI and analytics use
- Cultivate relationships with the Provost, CFO, CIO, academic deans, and other stakeholders
- Present findings and translate raw data into actionable insights
- Travel to or work at the Marinette, Sheboygan, or Manitowoc campus occasionally as operational needs require
Requirements
What you’ll need- Master's degree in a relevant field at time of application
- 7 years of experience in analytics, BI, data science, or a related field
- Proficiency in SQL and Python
- Technical ability to build, review, and improve real products alongside the team
- Working knowledge of modern cloud data platforms and BI tools, with AWS and/or Tableau
- Hands-on experience applying AI or machine learning in an organization
- Understanding of AI ethics, compliance, and governance frameworks
- Exceptional communication and relationship-building skills
- Ability to translate technical information to a variety of stakeholders
- Candidates must be legally authorized to work in the United States at the time of hire and maintain work authorization throughout employment
- Successful candidate must provide three references, including at least one manager or supervisor
- Finalists subject to pre-employment education, criminal conviction, and applicable personnel file checks
Benefits
Comp & perks- Several health insurance options
- Dental insurance
- Vision insurance
- Life insurance options
- AD&D insurance
- Accident insurance
- Flexible Spending Accounts
- Health Savings Accounts
- Wisconsin Retirement System (WRS), with employer contributions beginning immediately
- Fully vested in WRS after 5 years of service
- Supplemental retirement savings programs including a 403(b) and Deferred Compensation
- 9 legal holidays
- 36 hours of personal holiday
- 96–130 hours of sick leave annually
- Paid parental leave
- 13–27 days of vacation annually, depending on years of service and employment type
- Option to work on-campus or a hybrid schedule, subject to approved telecommuting request