AI TECHNICAL BUSINESS ANALYST

Ithaca College•Town of Ithaca, NY

19h•$85,000 - $90,000•Hybrid

About The Position

The AI Technical Business Analyst at Ithaca College supports the thoughtful and responsible application of emerging technologies in alignment with the college’s educational mission, institutional values, and commitment to sustainability. This position contributes to institutional efforts to better understand and improve the student and employee experience over time through responsible data practices. Any use of AI or automation that may affect individuals would be subject to established governance and review processes, with clear human accountability for decisions and outcomes. As part of the Information Technology and Analytics division, this position identifies, shapes, and supports AI-related solutions that enhance the college's digital ecosystem and student experience. This role bridges business needs and technical implementation—translating requirements into buildable specifications, validating solutions with stakeholders, and working alongside developers and AI tools to deliver results. This position operates within the framework established by Ithaca College’s Presidential Working Group on Artificial Intelligence and emphasizes transparency, documentation, data stewardship, privacy protection, and appropriate human oversight. In support of Ithaca College’s sustainability commitments, the role also considers when AI tools are appropriate, when simpler solutions are sufficient, and how to avoid unnecessary or duplicative use of resource-intensive technologies.

Requirements

Five or more years of demonstrated experience in a technical business analyst, systems analyst, or related role, with a track record of working across both business and technical teams in a complex enterprise environment. A bachelor's degree in information systems, computer science, data analytics, or a related field is preferred and may substitute for some of the experience requirement.
Demonstrated ability to work independently and manage multiple priorities with minimal supervision.
Strong analytical and problem-solving skills; able to diagnose issues, evaluate options, and recommend solutions.
Proficiency in SQL; able to write queries to extract, analyze, and validate data.
Proficiency in Python or a similar scripting language; able to read, modify, and test code.
Experience developing test plans, executing system tests, and coordinating user acceptance testing.
Clear communication skills; able to translate technical information for non-technical audiences and document requirements precisely.
Experience with AI tools or concepts such as prompt design, model evaluation, or workflow automation.
Familiarity with how enterprise systems and data integrations work; able to understand technical constraints and ask the right questions.

Nice To Haves

Experience in higher education systems or similar enterprise environments.
Understanding of data privacy considerations (FERPA or similar).

Responsibilities

Partner with campus stakeholders to understand needs, document requirements, and define use cases for AI-related projects; translate business needs into clear, buildable specifications.
Analyze processes and identify opportunities for automation, or data tools, while also identifying cases where non-AI solutions are more appropriate.
Support responsible use of institutional data, including data used to understand patterns and experiences over time, in alignment with governance, privacy, and security standards.
Work with the analytics and technical teams to explore data, validate requirements, and support testing; use tools like SQL or Pandas to explore data independently.
Evaluate and, where appropriate, use AI-assisted tools for prototyping, testing, or analysis, applying human review and institutional standards to all outputs. Use AI tools to generate or accelerate solution components where appropriate; evaluate outputs critically and refine as needed.
Develop and execute test plans for system integrations, data flows, and AI-driven functionality; document defects and work with developers to resolve issues.
Plan and coordinate user acceptance testing (UAT) with stakeholders; define test scenarios, support end users through testing, and synthesize feedback into actionable outcomes.
Work directly with institutional systems and data (such as student information systems, CRM platforms, and enterprise databases) to understand constraints, validate feasibility, and ensure solutions align with data governance and security requirements.
Create user documentation, training materials, and communication drafts for rollouts.
Support project coordination including tracking decisions, maintaining timelines, and facilitating handoffs between business stakeholders and technical teams.
Monitor developments in AI and related technologies; provide balanced, practical assessments of their relevance to campus needs.