Learning Systems and Insights Manager (11-month contract), SMU ExD

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The ‘family-like’ atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for SMU Executive Development. (SMU ExD)
• Training Management System (TMS) Migration & Systems
  • Support theTMS migration and implementation.
  • Liaise with central IT, vendors, and internal stakeholders to ensure successful rollout.
  • Translate business requirements into system specifications.
  • Support user acceptance testing (UAT), data validation, and system configuration.
  • Drive user adoption, training, and post-implementation support.
  • Identify and resolve system issues and continuously enhance system performance.
• Learning Data, Surveys & Insights
  • Support programme impact surveys across key programmes.
  • Analyse survey data to generate actionable insights for programme improvement.
  • Contributes to end-of-programme analysis, including detractor and sentiment insights.
  • Present findings to internal stakeholders to support evidence-based decision‑making.
  • Apply AI-enabled analysis (e.g., summarisation, theme detection) to synthesise survey. feedback and qualitative comments into actionable insights.
  • Identify and implement automation/AI opportunities to reduce manual reporting and improve turnaround time (with appropriate data governance).
• Dashboard Development & Data Projects
  • Design, develop, and maintain dashboards to track. Programme performance and outcomes.
  • Faculty and programme director workload.
  • Sales and pipeline performance (in collaboration with relevant teams).
  • Lead development of data assets such as programme databases and site visit repositories.
  • Support in department’s measurement of success metrics (e.g. balanced scorecard).
  • Ensure data integration and consistency across systems (e.g., TMS, CRM, survey platforms).
• Systems & Process Improvement
  • Identify opportunities to enhance operational efficiency through systems and process improvements.
  • Support enhancements, bug resolution, and feature expansion for internal systems (e.g., FMS or equivalent).
  • Work with stakeholders to redesign workflows enabled by new systems and tools.
• Database Management & Data Governance
  • Maintain and update faculty and programme databases.
  • Ensure data accuracy, integrity, and compliance with institutional policies.
  • Establish and promote best practices in data management and usage.
• Ad‑hoc Reporting & Analysis
  • Produce regular and ad‑hoc reports for leadership and stakeholders.
  • Support business reviews, programme evaluations, and strategic initiatives.
  • Respond to data and reporting requests in a timely and structured manner.
• Any other task assisgned.

QUALIFICATIONS

• Bachelor’s degree in Business, Data Analytics, Information Systems, or related field.
• Minimum 5 years of relevant experience in learning operations, data analytics, or systems implementation.
• Experience working with learning management systems (LMS/TMS), CRM platforms, or enterprise systems.
• Experience using AI‑enabled tools for analysis, reporting, or process improvement is an advantage.
• Familiarity with dashboarding and data visualization tools (e.g., Power BI, Tableau).
• Experience with survey tools (e.g., Qualtrics) is an advantage.
• Strong analytical and problem‑solving skills, with the ability to translate data into insights.
• Ability to bridge technical and non‑technical stakeholders effectively.
• Project management capabilities, particularly in system implementation or transformation initiatives.
• High attention to detail and commitment to data quality.
• Strong communication and presentation skills.
• Proactive, adaptable, and comfortable working in a dynamic environment.
• AI literacy: ability to use AI‑enabled productivity and analytics tools to improve workflows, with sound judgment on data privacy, accuracy, and limitations.

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Tagged as: Data Analysis, Data Visualization, Power BI, Project Management, Tableau