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

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 the TMS 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. Contribute 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, and 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 assigned.

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.

OTHER INFORMATION

Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.