Senior Manager, Office of The Provost

**Job no**: 498439
**Department**: Office of the Provost
**Contract type**: Contract

Job Responsibilities:

- Collect and pre-process data from various sources, such as student records, assessments, feedback and learning analytics.
- Analyse and interpret data to discover patterns, trends and insights that can inform educational decisions.
- Design, Develop, Deploy, Upgrade and Maintain software solutions. These solutions should be data driven, may involve classical machine learning techniques (decision trees, SVM) and recent techniques for LLM models (LangChains). For example:
- A system to recognize / summarise prior learning of students based on the profiles/evidence collected and map it to the competencies of relevant courses.
- Design and deploy algorithms and models to analyse student evidence and identify relevant competencies.
- Collaborate with module leads and instructors to ensure accurate mapping of prior learning to course competencies.
- Continuously improve and update the recognition system based on feedback and evolving industry standards.
- Prediction models for student success and identify students at risk of falling behind.
- Utilize machine learning and statistical techniques to analyse student data and develop predictive models for academic success.
- Identify key indicators and risk factors that contribute to student success or at-risk behaviours.
- Collaborate with academic advisors and faculty members to implement intervention strategies for at-risk students.
- A system to analyse student feedback to teachers and courses using AI techniques and provide actionable recommendations.
- Develop natural language processing (NLP) models to analyse student feedback and sentiment towards instructors and courses.
- Identify common themes and patterns in student feedback to gain insights into areas for improvement.
- Provide data-driven recommendations to faculty and administrators to enhance teaching methods and course content.
- Collaborate with educators, researchers, and stakeholders to understand their needs and requirements to deliver actionable insights.
- Collaborate with cross-functional teams (e.g., faculty, administrators, researchers, and other stakeholders)
- Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.
- Collaborate with academic coaches to advise students on development of portfolio in fields related to IT and data science.
- Work with vendor when necessary to develop larger system after selected pilot projects.

Job Requirements:

- Bachelor’s or master’s degree in a relevant field (e.g. Computer Science, Engineering, Data Science, Statistics or related disciplines)
- Experience in developing and implementing data-driven solutions in an educational or learning environment.
- Experience in data collection, pre-processing, and analysis
- Knowledge of machine learning algorithms, statistical analysis, and data visualization techniques.
- Proficiency in programming languages, such as Python and R, for data analysis and modelling
- Familiarity with natural language processing (NLP) techniques for text analysis and sentiment analysis.
- Experience with large language models and related frameworks
- Knowledge of vector databases and embeddings to store and retrieve data from various sources, such as student records, assessments and feedback is a plus.
- Knowledge of AI and machine learning techniques and algorithms, such as regression, decision trees or neural networks.
- Knowledge of educational theories and practices, such as competency-based learning, learning analytics or feedback analysis is an advantage.
- Excellent communication skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
- Strong problem-solving skills and ability to work independently as well as collaboratively in a team-oriented environment.
- Attention to detail, with a commitment to delivering high-quality and accurate results.