Senior Executive, Resources and Scheduling

About The Job

This Senior Executive position provides operational and analytical support within the Resources and Scheduling Department to ensure efficiency in Operation and Services throughautomation. The candidate is expected to analyse operational processes, resolve workflow bottlenecks and support data-informed decision.

What You Will Be Doing

Key Responsibilities

Operational Coordination and Scheduling Management (40%)

• Manage and coordinate the scheduling data to support end-to-end scheduling operations to ensure timeliness, accuracy and efficiency.
• Work closely with stakeholders and team to resolve operational issues and challenges
• Ensure scheduling data reconciliation for reporting and planning.

Process Optimisation and Transformation (30%)

• Review existing workflows to resolve operational bottlenecks and support opportunities for process optimization and/or transformation.
• Coach and collaborate with team to explore and implement improvement and/or transformation strategies.
• Update policies and produces and guides where applicable.

Data Analytics and Operational Insights (20%)

• Analyse operational data such as enrolment trends, scheduling utilisation, and classroom allocation patterns to support planning decisions.
• Demonstrated knowledge on basic data analytic tools (e.g., Excel, Power BI, etc) to support reporting.

General Responsibility (10%)

• To participate in Institute-wide and SUSS activities as assigned.
• To support and perform any other duties as assigned by Senior Manager, RS

Job Requirements

• Degree holder with at least 4 years of relevant working experience, preferably in operation, administration, or business analyst role
• Strong analytical and problem-solving skills, with the ability to evaluate operational processes and recommend improvements.
• Comfortable working with operational data and preparing reports to support decision-making.
• Competent knowledge of data analysis tools (e.g., Excel, Power BI).
• Exposure to SQL, Python, or similar analytical tools would be advantageous but not mandatory.
• Strong organisational skills and attention to detail.
• Good interpersonal and communication skills, with the ability to work collaboratively across teams.
• A proactive and adaptable mindset with an interest in improving operational processes.
• Ability to work effectively in a dynamic and evolving environment.