Chief Data and AI Officer

Universities of Wisconsin•Green Bay, WI

4d•$125,000•Hybrid

About The Position

The Chief Data and AI Officer (CDAIO) is a new university-wide leadership role that brings analytics, data, and AI together under one division. The CDAIO champions the responsible and ethical use of data, analytics, and AI in alignment with the university’s mission and values, and leads the transformation of data into strategic insights. The university has invested in Amazon Web Services, databases, ETL software, AI tools, and AI servers, and this role will build on that investment to advance institutional priorities. The CDAIO establishes the vision, governance, and operating framework for data and AI; fosters a data-driven culture; and evolves technical capabilities to support university priorities. The work spans institutional strategy and effectiveness, enterprise analytics using AWS and Tableau, and applied AI across operations. The role will lead enterprise direction for data and AI platforms, governance, and investment priorities through a collaborative process with stakeholders. The CDAIO serves as a connector, translator, and storyteller between technical teams and university stakeholders. The role cultivates relationships with the Provost, CFO, CIO, academic deans, and other leaders, translating findings into actionable insights that inform decisions. The successful candidate will lead four team members and, within the first 12 to 24 months, establish a trusted data, analytics, and AI foundation that improves decision-making and automates manual processes. The home campus is Green Bay. The position may be performed on campus or on a hybrid schedule, subject to approval of a telecommuting request. Occasional travel to or work at the Marinette, Sheboygan, or Manitowoc campus may be required based on operational needs. This is a full-time Limited appointment.

Requirements

Master’s degree in a relevant field at the time of application.
At least 7 years of experience in analytics, business intelligence, 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 business intelligence tools, including 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, including the ability to translate technical information for a variety of stakeholders.
Strong oral, written, interpersonal, and organizational skills; demonstrated integrity and leadership; and the ability to work independently and collaboratively.
Willingness to work inclusively and respectfully within a diverse campus community and practice civility in the workplace.

Nice To Haves

At least 2 years of experience leading people and/or projects.
Previous experience in higher education.
Fluency with modern AI tooling and large language models.

Responsibilities

Lead four team members and coach each to do their best work.
Lead the organization’s data, analytics, and AI strategy in alignment with the university’s mission and values.
Build data and AI fluency across the UWGB community in collaboration with university partners.
Establish governance mechanisms that promote trust in data, AI models, and analytics-driven decision-making.
Identify, pilot, and scale AI use cases that improve UWGB’s efficiency and effectiveness.
Deliver analytics and AI across finance, HR, operational, and academic data.
Partner with university leaders to embed AI and analytics into strategic initiatives and digital transformation efforts.
Develop an enterprise operating model integrating data governance, AI ethics, and analytics-driven insights into business processes.
Establish enterprise direction for data and AI platforms, governance, and investment priorities through collaboration with stakeholders.
Translate findings into actionable insights and communicate them to inform real decisions.

Benefits

Health insurance options.
Dental insurance.
Vision insurance.
Life insurance options, AD&D insurance, and accident insurance.
Flexible Spending and Health Savings Accounts.
Wisconsin Retirement System participation, with employer contributions beginning immediately and full vesting after 5 years of service.
Supplemental retirement savings programs, including a 403(b) and Deferred Compensation.
Paid leave, including 9 legal holidays, 36 hours of personal holiday, and 96–130 hours of sick leave annually.
Paid parental leave.
13–27 days of vacation annually, depending on years of service and employment type.