Job Purpose

An Executive, Ops Development plays an important role in supporting the NSEWL Train Operations department to ensure a safe and reliable journey for commuters. He/she will be in charge of developing and sustaining employee engagement, preparing and analysing department reports, tracking and evaluating of key information. He/she may take on projects to enhance the operation.

Duties and Responsibilities

Employee Engagement

• Plan and organize employee engagement events
• Arrange Union engagement sessions with Train Ops Management
• Manage and moderate department Workplace By Facebook page
• Responsible for remote content management of digital signages at staff rest areas
• Liaise with other departments for awards and media engagement

Preparation and Analysis

• Consolidate and analyse department reports for presentation
• Consolidate monthly incentive deductions for submission
• Develop, maintain and present data visualizations, such as dashboards, charts and graphs for visibility, in areas such as rail engineering performance

Tracking

• Track department KPIs and completion rates (KAIZEN projects, ground engagement and feedback, vulnerable staff, etc.)
• To coordinate and align Train Ops procedures and documents
• To schedule and propose appropriate reviews for Train Ops
• Conduct internal procedural and documental audits where required

Operations Enhancement Projects

• Take on or lead projects to enhance the operations, improve operation, processes or to better the training with the incorporation of technology like Artificial Intelligence (AI)

General

• Undertake any other tasks and projects as assigned

Qualifications and Work Experience

• Degree in any discipline
• Experience in Operations or data analytical field of work / exposure is an advantage

Skills and Competencies

• Proficient in Microsoft Office and PowerBI
• Good inter-personal and communication skills, able to work independently as well as in a team environment with individuals of diverse backgrounds
• Detail-orientated and highly organized
• Must be highly motivated and able to work under pressure and handle stress
• Able to think and analyse systematically
• Comfortable with Big Data analysis as well as raw data log