Learning Analytics Manager leading AI-driven learning projects at Kaplan. Collaborating with teams and mentoring staff to improve educational outcomes through data analytics and technology.
Responsibilities
Work closely with the Director of Psychometrics and Learning Analytics on the assessment and learning analytic projects.
Develop and execute learning analytical initiatives which are aligned with organizational goals to improve learners’ experience and outcomes in online learning environments.
Lead a team of research scientists and data analysts to deliver the projects end-to-end.
Provide project management and team leadership.
Perform the full range of learning analytics activities including, but not limited to, descriptive analytics, predictive analytics, data mining, causal inference, machine learning, network analysis, and analytic dashboards.
Apply ML and AI models to identify learning gain, model learner’s behaviors, segmentation, at-risk prediction, develop learning metrics, recommend personalized learning paths, and improve learning product effectiveness.
Extract, preprocess, manipulate, analyze & interpret complex data from various corporate data sources.
Ensure the accuracy, integrity and ethical use of learner data.
Develop advanced analytic algorithms and solutions, derive key observations, findings, insights, and formulate actionable recommendations.
Collaborate with psychometricians, data scientists, content developers, platform engineers, product and business owners, and other stakeholders to solve product and business problems.
Prepare technical reports, whitepapers, and related documents.
Present to key business partners and stakeholders.
Mentor team members and provide guidance on project directions and technical challenges.
Requirements
Masters Degree in Data Science, Statistics, Educational Technology, Computer Science, Psychometrics or a related field with strong quantitative focus
5 years of experience in learning analytical or education technology roles and proven experience managing teams.
Track record of work experience with learners’ data and learning analytical projects.
Proven experience effectively managing productive and engaged teams.
Proficient in R/ Python or one programming language.
Proficient in data manipulation, applied statistics, and ML and AI models.
Excellent working knowledge of SQL and data visualization tools.
Excellent verbal, written, and interpersonal communication skills.
Benefits
Hybrid work model provides a flexible work/life balance
Voluntary Provident Fund is an additional voluntary contribution scheme associated with the statutory Employee Provident Fund (EPF)
Our Gift of Knowledge Program provides tuition assistance and substantial discounts for our employees and close family members
Comprehensive health benefits new hire eligibility starts on day 1 of employment
Generous Paid Time Off includes National holidays(10), Earned leaves(15), sick leave(12), plus one (1) volunteer day to participate and give back to our local communities
Gratuity is applicable upon completion of 5 years as per the Gratuity Act
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