Automation and AI Support Analyst

The AI & Automation Support Analyst will drive and support enterprise-wide automation initiatives. This role will focus on desktop & enterprise automation, AI-driven process improvements, and intelligent automation solutions. The position also serves as a key liaison for transitioning projects from implementation to operational support and provides technical assistance for both enterprise and niche applications. This is a highly technical and engineering-focused role that supports the university’s digital transformation goals.

Responsibilities:

AUTOMATION & ENGINEERING

• Design, develop, and implement desktop and intelligent automation solutions using tools such as Power Automate, AI Builder, RPA, and Python.

• Lead application and data integration efforts to streamline workflows and improve operational efficiency.

• Develop and maintain automations for repetitive tasks across university systems.

• Serve as a technical expert in automation frameworks, scripting, and integration protocols (REST, SOAP).

AI & INTELLIGENT AUTOMATION INITIATIVES

• Collaborate with academic and administrative departments to identify opportunities for AI and machine learning integration.

• Implement AI-driven solutions to enhance decision-making, data processing, and user experience.

• Evaluate and integrate emerging technologies to support digital transformation goals., * Act as the primary liaison between project teams and operational support units.

• Ensure smooth handoff of projects from development to production environments.

• Provide documentation, training, and ongoing support for automated solutions.

APPLICATION & USER SUPPORT

• Provide Tier 2/3 support for enterprise and niche applications, ensuring high availability and performance.

• Collaborate with IT and business units to troubleshoot issues and implement enhancements related to using platforms such as Microsoft SharePoint, Forms, PowerAutomate.

• Maintain compliance with data governance, security, and integration standards., Equal opportunity of access to academic and related programs shall be extended to all persons. Bowie State University shall have as its firm objective equal opportunity in recruitment and hiring, rate of pay, all other promotions, training, retention and dismissals, for all employees and applicants for employment. The University will stress equal access for employees and applicants for employment to all programs and services provided by the University both on and off campus. The University will also provide equal opportunity and an atmosphere of nondiscrimination with respect to women and members of minority groups in all its operations. In addition, the University shall promote equal opportunity and equal treatment through a positive and continuing Affirmative Action Program.

The University makes, and will continue to make, reasonable accommodations to promote the employment of qualified individuals with disabilities and disabled veterans, unless such accommodations would impose an undue hardship on the University’s business.

In addition, employees and applicants will not be subjected to harassment, intimidation, threats, coercion, or discrimination because they have engaged in, or may have engaged in, activities such as filing a complaint, assisting or participating in an investigation, compliance review or hearing, or opposing any act or practice made unlawful, or exercising any other right protected by Section 503 of the Rehabilitation Act of 1973, as amended or the Vietnam Era Veterans Readjustment Assistance Act of 1974, as amended.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Minimum 4 years of experience in automation engineering, systems integration, or related technical roles.
• Proven experience with desktop automation, AI/ML tools, and enterprise application support.
• Familiarity with Microsoft Power Platform, scripting languages (e.g., Python, PowerShell), and middleware integration tools.
• Experience working on advanced technology projects with a strong engineering focus., * Experience in higher education or public sector IT environments.
• Knowledge of student information systems (e.g., PeopleSoft) and learning management systems (e.g., Blackboard).
• Exposure to cloud platforms (e.g., Microsoft Azure) and data analytics tools (e.g., Power BI, SQL Server).