Ai And Automation Analyst

Description:

 The AI and Automation Analyst works closely with administrative units and IT colleagues to understand how work gets done, identify where improvements are possible, and build practical solutions that are reliable and easy to use. The role requires an individual who is comfortable engaging with a broad range of staff from front-line administrative employees to senior leadership and who can jump into complex process problems and help determine the best path forward.

Working with AI platforms, automation tools, Python, APIs, and workflow platforms such as Microsoft Power Platform and UiPath, this role takes ownership of projects from initial scoping through to deployment and ongoing support. The AI and Automation Analyst also contributes to the university’s broader AI and automation strategy and governance practices, helping to ensure that solutions are adopted responsibly and deliver lasting benefit.

MAJOR DUTIES & RESPONSIBILITIES

Delivery, Automation & Operational Effectiveness

Leads the rollout and implementation of AI and automation solutions across administrative units, coordinating the work of identified project team members, handling any difficulties that arise, and acting as the first point of contact for anything related to assigned projects and initiatives.
Reviews and analyzes administrative workflows, business requirements, and process inefficiencies, and translates these into practical automation and AI solutions by first evaluating existing platforms and capabilities before recommending new approaches.
Ensures that solutions are reliable, usable, and aligned with administrative user workflows, business needs, and the university’s operational goals.
Identifies workflow inefficiencies, usability gaps, and improvement opportunities across administrative processes, and recommends practical and sustainable solutions.
Tracks usage, feedback, and operational outcomes to support continuous improvement, and coordinates with business areas to ensure solutions continue to meet evolving needs.
Contributes to dashboards, metrics, and reporting that measure solution effectiveness, adoption, and operational impact across administrative and university-wide initiatives.

Testing, Validation & Reliability

Leads testing of solutions across real-world scenarios, edge cases, and operational conditions, determining test strategies and acceptance criteria in collaboration with administrative and technical stakeholders.
Validates data accuracy, reliability, and quality across administrative systems and workflows, identifying and resolving discrepancies that could affect operational performance or institutional reporting.
Provides expertise in troubleshooting, monitoring, and continuous refinement of automations and AI-enabled workflows, ensuring deployed solutions remain effective and reliable over time.

Technical Contribution & Integrations

Provides expertise in end-to-end solution architecture, including designing system workflows, automation pipelines, and implementation strategies in collaboration with cross-functional teams across administrative and IT areas.
Develops and maintains automations using Microsoft Power Platform, UiPath, Python, Copilot Studio, and related technologies to support administrative process improvement and broader university needs.
Coordinates and liaises with business areas, IT teams, and external vendors to design and implement integrations with APIs, external systems, databases, and data sources.
Reviews and improves workflow performance, scalability, maintainability, and operational reliability, identifying opportunities to enhance the long-term value of deployed solutions.

Training, Communication & Enablement

Delivers training sessions, demos, workshops, and knowledge-sharing activities to support the responsible adoption of AI and automation tools across administrative areas and, where applicable, the broader university community.
Translates technical solutions into clear, user-friendly documentation and guidance that enables administrative staff to work confidently with delivered solutions.
Creates reusable resources, documentation, and operational playbooks that support consistent and effective use of AI and automation solutions across the institution.

Collaboration & Continuous Improvement

Collaborates with administrative units and IT colleagues to troubleshoot gaps between existing systems and desired outcomes, providing structured feedback and recommendations to improve solution design, usability, and operational effectiveness.
Contributes to the development and ongoing maintenance of the university’s AI and Automation Roadmap, helping to identify priorities within administrative operations and demonstrating strong links between proposed initiatives and institutional benefit.

REQUIRED QUALIFICATIONS

EDUCATION:

Bachelor’s degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related field.

EXPERIENCE:

Four (4) years' related experience in automation, AI, or business process improvement, including
A minimum of two (2) years leading implementation projects involving administrative or operational workflows, coordinating cross-functional team members and stakeholders, and translating business requirements into practical solutions.