AI Analyst

Herzing University-posted 3 months ago

$109,395 - $148,000/Yr

Full-time • Mid Level

Hybrid • Milwaukee, WI

Educational Services

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This position is central to enhancing institutional effectiveness, optimizing operational efficiencies, and enriching the experiences of students, faculty, and staff. The ideal candidate will possess a strong analytical mindset, deep technical expertise in AI/ML, and a passion for driving innovation within the higher education landscape. This position reports directly to the Director of Applications, collaborating closely to integrate AI solutions within existing university systems and drive technological innovation across all application platforms. This full-time role will require at least one in-office day, while the remainder of the week can be remote.

Architect, design, and develop end-to-end AI/ML solutions tailored to teaching and learning needs, focusing on scalable application development and deployment.
Design and execute pilot programs for new AI/ML interventions in real-world educational environments, collecting data on effectiveness and iterating based on feedback and results.
Lead the full lifecycle of AI/ML application development, including requirements gathering, prototyping, coding, testing, deployment, and maintenance.
Collaborate seamlessly with IT and educational technology teams to integrate AI/ML models and applications into existing university systems.
Ensure robust data exchange and interoperability by leveraging standards such as Learning Tools Interoperability (LTI) and Experience API (xAPI).
Develop, train, and deploy machine learning models and AI applications using large, complex datasets from diverse university systems (e.g., SIS, LMS, CRM, financial systems, and the university's data lake environment).
Apply advanced techniques in natural language processing (NLP), computer vision, and predictive analytics to build innovative educational applications.
Implement and optimize AI/ML pipelines for real-time and batch processing, ensuring high performance and reliability in production environments.
Collaborate with cross-functional teams to continuously improve AI models and applications, focusing on fairness, bias mitigation, and user-centric design.
Ensure compliance with FERPA and institutional data privacy policies.
Champion responsible AI practices and contributes to AI governance and policy development.
Promote equity-focused AI design and bias mitigation strategies.
Engage cross-functionally with internal departments and external stakeholders to assess needs and deliver tailored analytical and AI-driven solutions that align with institutional priorities.
Translate complex findings into actionable insights in partnership with BI and reporting teams, ensuring clarity for non-technical audience (e.g., university leadership, department heads, faculty).
Partner with the BI team in developing reports, dashboards, and visualizations that communicate strategic implications effectively.
Continuously monitor and evaluate the latest advancements in AI/ML, educational technology, and learning sciences, specifically identifying applications relevant to higher education.
Proactively identify and champion areas where AI can significantly enhance existing research methodologies, enable new lines of inquiry, or drive pedagogical innovation.
Contribute to discussions and pilot programs involving emerging AI technologies, including Large Language Models (LLMs) and generative AI, for educational and operational applications.
Potentially contribute to internal research projects focused on AI in education and institutional effectiveness.

Strong analytical mindset and deep technical expertise in AI/ML.
Experience in architecting and developing AI/ML solutions.
Proficiency in data science and machine learning model development.
Knowledge of educational technology and its integration with AI solutions.
Familiarity with data privacy policies, particularly FERPA.

Experience with Learning Tools Interoperability (LTI) and Experience API (xAPI).
Background in natural language processing (NLP) and computer vision.
Experience in developing reports, dashboards, and visualizations.

Comprehensive benefits package including a tuition waiver and reimbursement program.
Health insurance.
Paid time off.
Retirement savings plan.

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