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JOB PURPOSE AND REPORTING STRUCTURE:

Our client is seeking an experienced and innovative AI Analyst to play a pivotal role in advancing its strategic goals through the application of artificial intelligence and machine learning. 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.

PRIMARY DUTIES AND RESPONSIBILITIES:

• AI Solution Architecture & Integration for Education:

o Architect, design, and develop end-to-end AI/ML solutions tailored to teaching and learning needs, focusing on scalable application development and deployment.

o 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.

o Lead the full lifecycle of AI/ML application development, including requirements gathering, prototyping, coding, testing, deployment, and maintenance.

o Collaborate seamlessly with IT and educational technology teams to integrate AI/ML models and applications into existing university systems.

o Ensure robust data exchange and interoperability by leveraging standards such as Learning Tools Interoperability (LTI) and Experience API (xAPI).

• Data Science & AI Model Development:

o 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).

o Apply advanced techniques in natural language processing (NLP), computer vision, and predictive analytics to build innovative educational applications.

o Implement and optimize AI/ML pipelines for real-time and batch processing, ensuring high performance and reliability in production environments.

o Collaborate with cross-functional teams to continuously improve AI models and applications, focusing on fairness, bias mitigation, and user-centric design.

• Ethical AI & Responsible Use:

o Ensure compliance with FERPA and institutional data privacy policies.

o Champion responsible AI practices and contributes to AI governance and policy development.

o Promote equity-focused AI design and bias mitigation strategies.

• Insight Generation & Stakeholder Collaboration:

o 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.

o 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).

o Partner with the BI team in developing reports, dashboards, and visualizations that communicate strategic implications effectively.

• Research & Emerging Technologies:

o Continuously monitor and evaluate the latest advancements in AI/ML, educational technology, and learning sciences, specifically identifying applications relevant to higher education.

o Proactively identify and champion areas where AI can significantly enhance existing research methodologies, enable new lines of inquiry, or drive pedagogical innovation.

o Contribute to discussions and pilot programs involving emerging AI technologies, including Large Language Models (LLMs) and generative AI, for educational and operational applications.

o Potentially contribute to internal research projects focused on AI in education and institutional effectiveness.

• All other duties as assigned.

EDUCATION & EXPERIENCE REQUIREMENTS:

Required Qualifications:

• Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or a related field.

• 3-5 years of progressive experience in data analysis, business intelligence, or a related analytical role, with at least 3 years specifically focused on AI/Machine Learning model development and deployment.

• Strong proficiency in programming languages commonly used for AI/ML (e.g., Python, R).

• Expertise with AI/ML frameworks and libraries (e.g., TensorFlow, Keras, scikit-learn).

• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.

• Experience with cloud-based AI platforms (e.g., Microsoft CoPilot Studio, Azure Machine Learning, AWS SageMaker, Google AI Platform).

• Demonstrated experience with ethical AI frameworks and responsible AI practices, including data privacy principles (e.g., FERPA) and bias mitigation.

• Understanding of Learning Tools Interoperability (LTI) standards.

• Strong problem-solving and critical thinking skills, with the ability to translate business needs into technical solutions.

• Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, evolving environment.

• Solid understanding of software development best practices, including version control, CI/CD, and agile methodologies.

• Demonstrated experience integrating AI applications with enterprise systems and APIs.

Preferred Qualifications:

• Master's degree in a related field.

• Familiarity with higher education-specific data systems (e.g., Salesforce, Anthology, Banner).

• Direct experience with AI integrations in educational platforms (e.g., Google Gemini in Canvas via LTI).

• Knowledge of natural language processing (NLP) techniques and advanced applications.

• Experience in a higher education or research institution setting.

**PHYSICAL REQUIREMENTS** :

• Must be able to remain in a stationary position 50% of the time.

• Must be able to occasionally move around the work location.

• Constantly operates office and/or teach equipment which may include computers, copiers, fax machines, audio/visuals.

• Frequently uses voice and hearing to communicate with students, staff or colleagues face-to-face or over the telephone.

• Visually or otherwise identify, observe and assess.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.