Position Summary
This position will focus on designing, developing, and maintaining data solutions that support robust decision-making, performance tracking, and strategic planning. The Information Technologist will:
- Review and monitor, incoming and outgoing online submissions for ABR Data Analytics online program applications.
- Work with team to create and update automated workflows, data pipelines, and solutions that integrate structured and unstructured data.
- Assist team in in business process automation, and generate content to improve operational efficiency.
- Assist team to implement and optimize analytic models for quality outcomes
- Assist with visualization, summarization, and presentation of data-driven insights.
Candidates with experience in higher education institutions are preferred. This position is funded through June 30, 2027 with the possibility of an extension contingent upon funding renewal.
Minimum Requirements
Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in Computer Science, Data Science, Software Engineering, Information Systems, Business or related information technology field; one to three years of related and progressively more responsible or expansive work experience in information technology; or an equivalent combination of education and experience.
Desired Qualifications
- A Master’s degree (or near completion of a master’s degree) in computer science, data science, artificial intelligence, or a related discipline.
- Strong knowledge of GenAI tools and their application in business process automation and content generation.
- Familiarity with tools like OpenAI, Microsoft Copilot, or other GenAI platforms.
- Experience with database and BI tools such as SQL, Microsoft Power BI, Tableau, and Cognos.
- Proficiency with Microsoft Power Automate, PowerApps, Excel VBA, and cloud data prep platforms.
- Strong problem-solving skills, communication skills, and the ability to work independently and collaboratively.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Application Materials
- Resume
- Cover letter
- Names and contact information of three references
- Three examples of work related to programming, genAI applications, coding, data preparation, business process automation, data integration, or business intelligence solutions.
Work Hours
STANDARD 8-5
Description of End Date
This position is funded through June 30, 2027 with the possibility of an extension contingent upon funding renewal.
Website
https://www.canr.msu.edu/research/
Remote Work Statement
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
Bidding eligibility ends April 14, 2026, 11:55 PM