ComfortDelGro is a leading multi-modal transport operator offering a comprehensive suite of transportation solutions. With operations across 13 countries, we provide public transport including buses and rail, point-to-point transport with taxis and private hire cars as well as business-to-business mobility solutions, providing safe and reliable journeys for millions daily. Guided by our purpose, ‘Mobility for a better future’, we are committed to driving positive impact and shaping a sustainable future in mobility for all our stakeholders.
We’re a purpose-driven, values-led organisation committed to delivering positive impact for a better future. Our Employees are united by The CDG Way – Collaboration, Drive and Growth. It is a culture defined by teamwork, shared goals, and a commitment to growing together. Whether you’re part of our bus, taxi, and rail teams, you’ll be a part of a global family working to drive positive impact through innovative solutions and helping to build a more resilient and sustainable organisation.
Join us, and be part of something bigger as we embark on a fulfilling journey towards your career.Job Responsibilities & DutiesAi Solution Development and EngineeringDesign, prototype and deliver advanced AI systems across GenAI, ML, AI agents and agentic architectures from concept and POC through production and international rollout.Develop production‑grade pipelines for data ingestion, feature engineering, training, evaluation, optimisation and deployment with full MLOps (CI/CD, versioning, monitoring, drift detection, rollback).Develop, fine‑tune and integrate ML and LLM models into business applications; including RAG pipelines, vector search and prompt‑engineering strategies.Create reusable, cloud‑agnostic components, APIs and microservices for consistent global deployment while driving continuous improvement.Design and optimise AI models and pipelines for performance, latency, cost and scalability applying FinOps principles with guardrails and quotas to ensure predictable and efficient cloud spend Architecture and IntegrationTranslate business requirements into scalable, enterprise‑grade AI architectures and technical designs.Integrate AI capabilities into platforms, workflows, applications and automation frameworks.Ensure all solutions meet stringent standards for performance, security, compliance, observability and reliability.Architect cloud agnostic AI systems across Azure, AWS, GCP and VMware using containerisation and modern deployment patterns.Define and enforce reusable AI architecture patterns; modular, abstracted, and configuration‑driven, to accelerate global adoption and facilitate cloud native swap out of components if necessary.Partner with engineering teams to deliver seamless integration, deployment and operationalisation. Global Delivery & DeploymentBuild scalable deployment patterns and operational playbooks that enable consistent multi‑market adoption. Ensure solutions adapt to local regulatory, data sovereignty and operational requirements.
Innovation & ExperimentationEvaluate emerging AI technologies and identify high‑value opportunities, driving continuous improvement in engineering practices, AI Adoption, automation and tooling. Governance & QualityEnsure all AI solutions comply with global standards, regulatory requirements and company risk frameworks embedding explainability, responsible AI practices and governance controls throughout the lifecycle. Produce clear high‑quality technical documentation, design artefacts and operational runbooks to support transparency, auditability and ethical standards. Cross‑Functional CollaborationSupport adoption of shared AI capabilities by ensuring alignment to common delivery and architecture patterns.
Capability BuildingModel engineering excellence and champion best practices in modern AI development and delivery. Mentor engineers, share knowledge, administer knowledgebase and build a strong internal AI community across teams.Define and evolve engineering standards, coding practices and delivery frameworks to uplift capability providing technical expertise to strengthen the robustness and quality of initiatives Performance Monitoring & ReportingDefine and track KPIs to measure model and system performance, reliability and business impact, establishing and maintaining: monitoring, alerting and performance dashboards as part of overall solutions. What Success Looks LikeEnsure systems comply with local regulations and licensing providing regulatory confidence.AI models and pipelines are performant, reliable and delivering measurable business impact.Solutions are deployed smoothly into production with strong observability, low latency and predictable cost with seamless system integration.Stakeholders clearly understand system performance through concise, data‑driven reporting.Engineering teams can easily adopt and extend shared AI capabilities due to clear patterns, documentation and support.AI features ship on time, operate at scale meeting security, compliance, and quality standards.Measurable KPIs show consistent improvement and solutions lead to tangible gains such as increased successful trips and vehicle utilization.Proactive rather than reactive issue identification with propose enhancements to initiatives and designs to resolve.
Minimum Education/QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence or a related technical field 3+ years of hands-on experience in AI/ML model development, generative AI, AI Agents and Data science solutions.Experience in leading end-to-end AI projects from ideation to deployment.Experience working with distributed teams and offshore delivery modelsFamiliarity with data privacy laws (e.g. GDPR, CCPA) and global compliance frameworksExperience in agile product development and cross-functional collaboration
ASSISTANT MANAGER / MANAGER, RISK & INTERNAL CONTROL (GROUP RISK OFFICE)
Support the implementation of Group Risk Management and Internal Controls, including Workplace Safety & Health across the Group.
Key responsibilities:Enterprise Risk, Internal Controls, Insurance & Business ContinuitySupport the implementation and continuous enhancement of the Group’s Enterprise Risk Management (ERM) and Internal Control frameworks across Business Units (BUs)Develop, review and implement ERM policies and control guidelines, and deliver targeted training to management and process ownersFacilitate risk and internal control discussions to identify gaps, and promote the adoption of good practices and mitigating controls across the Group to strengthen organisational resiliencePrepare and consolidate Group risk reports, including risk dashboards, Key Risk Indicators (KRIs), and insightful analysis for Management and Board reportingSupport the review and tracking of compliance with Minimum Acceptable Controls (Controls Self-Assessment) across BUsCoordinate and support the insurance renewal process, including data consolidation, exposure analysis, and coverage review to ensure adequacy and cost-effectivenessConduct periodic reviews and optimisation of the Group insurance programme in collaboration with the appointed broker and internal stakeholders (e.g. Cyber, Industrial All Risks, Directors & Officers Liability)Analyse claims trends and provide insights to support risk mitigation and loss prevention initiativesParticipate in internal control activities, including attending opening and closing meetings with Internal Auditors, where requiredSupport the implementation and maintain continuous improvement of the Group Business Continuity Management (BCM) and Crisis Management framework, policies and processes, including coordination of BCP / CM reviews, exercises, and tracking of remediation actionsDrive the digitalisation and continuous enhancement of data collection, analytics, including the development, optimisation, and administration of related tools, systems, and questionnaires
Workplace Safety & Health Support the implementation and periodic review of the Group Workplace Safety & Health (WSH) Policy across BUsMonitor, analyse and consolidate Group-wide WSH metrics (e.g. injury rates, high-consequence injuries, vehicle accident rates, SPAD, near misses) for monthly and quarterly reporting to Management and Board CommitteesEngage and coordinate with BU WSH representatives to promote sharing of good practices and enhance safety culture across the GroupPartner with Group Internal Audit as a guest auditor during audits, thematic reviews, and follow-up of corrective actionsSupport initiatives to strengthen and embed a positive safety culture through training and engagement programmesCoordinate and facilitate quarterly Community of Practice forums for the Group’s safety network
Qualifications & Work ExperienceBachelor’s Degree in Business or similarExperience in recognised risk management frameworks (e.g. COSO ERM, ISO31000, COBIT)Minimum five (5) years’ relevant experience in roles such as Enterprise Risk Management, Internal Controls, Internal Audit, and/or Workplace Safety & HealthExposure to Workplace Safety & Health, data protection regulations (e.g. PDPA, GDPR), Business Continuity Management, or other related risk areas will be advantageousAbility to work independently with minimal supervision in a dynamic environmentMeticulous with strong attention to detail, with the ability to identify gaps and control weaknesses in business processesStrong interpersonal and communication skills, with a collaborative mindsetStrong storytelling and presentation skills, with the ability to communicate complex ideas clearly; proficient in report writing and data analysisStrong organisational and prioritisation skills, with the ability to manage multiple tasks and meet deadlines
ComfortDelGro (“CDG”) is one of the largest land transport companies in the world with a global workforce, a global shareholder base and a global outlook. Since its formation through a merger in 2003, CDG has expanded significantly and now operates in seven countries and has a global fleet of about 34,000 vehicles. CDG’s businesses include bus, taxi, rail, car rental and leasing, automotive engineering services, inspection and testing services, driving centres, non-emergency patient transport services, insurance broking services and outdoor advertising. Apart from being the market leader in Singapore, CDG has a significant overseas presence UK, Australia, and China. The Corporate Development Division has a small but focussed team that looks at the future of mobility & works closely with multiple business units across all seven countries that CDG has presence in. It functions as a think-tank and facilitator to help CDG identify future mobility trends, devise strategies and kick-start their execution in new business and technology. The chosen candidate will support the Vice President and other senior members of Corporate Development team. He/She will have the opportunity to be involved in global strategy projects and new business venture. This is an outstanding opportunity for early career professionals who would like to learn more about venturing or investing in the high-tech mobility industry and have the chance to build an extensive network with corporates, venture capitalists and start-ups globally. Responsibilities: 1. Strategic Evaluation & Market Positioning • Assess autonomous vehicle opportunities across markets by analysing regulatory / commercial developments, competitive dynamics, operating models and ecosystem trends. • Develop strategic frameworks and commercial assessments to define viable entry approaches, positioning within the evolving AV value chain, deployment pathways and scaling considerations. 2. Business Case Development & Investment Analysis • Build and stress-test financial models, unit economics and scenario analyses to evaluate AV pilots and longer-term deployment potential. • Develop operation and capital requirements as well as risk considerations to inform phased decision-making. 3. Programme Development & Execution • Support the planning and implementation of AV pilots and early deployment initiatives, ensuring alignment across all business units and functional teams. • Monitor key risks, dependencies and performance indicators to support timely and informed management oversight. 4. Partnership & Ecosystem Management • Contribute to the assessment and coordination of technology, OEM and ecosystem partnerships relevant to AV programmes. • Facilitate collaboration between internal stakeholders and external partners to advance project objectives. 5. Governance & Management Reporting • Prepare management materials, dashboards and consolidated updates for governance and leadership forums. • Maintain structured documentation and tracking mechanisms for AV workstreams. Requirements/Qualifications Bachelors or Masters degree in Engineering degree programmes from reputed universities. At least 3 to 8 years of relevant experience in corporate strategy teams at reputed MNCs or at management consulting firms. Preference will be given to those with mobility or automotive related experience. Possess a good understanding and a strong interest in developments related to mobility, logistics, automotive and adjacent sectors (e.g. EV/AV, sharing economy, user experience, IoT, data analytics, artificial intelligence and e-commerce, etc). Prior experience in project and/or business management, in-depth market/industry research, analysing business models, financial modelling and valuation will be preferred. Ability to embrace ambiguity and work on complex problem statements. Have strong communication skills with the ability to interact, liaise and build strong relationships with all levels of management. Advanced Excel and PowerPoint skills; other functional skills involving data analytics & visualization (Tableau, Power BI, etc) will be a plus. Demonstrates resourcefulness, creativity, strong attention to details, commitment to achieve positive business outcomes, ability to multi-task and work independently, a self-starter attitude and respect for co-workers. Willingness to travel, if needed.
Key Accountabilities
The role collaborates with stakeholders, document findings, and proposes solutions, whilst supporting international technology adoption. The role is responsible for analyzing business processes, evaluating system requirements and supporting the design and implementation of traditional and AI‑enabled solutions across the organization.
This role is ideal for someone who thrives in fast moving, cross-border environments and relishes the challenge of solving complex problems; turning data into insight and insight into action. It’s perfect for a bridge‑builder who unites teams and turns ambiguity into focused clarity, driving progress with confidence and momentum.
Job Responsibilities & Duties
Gather, document, reconcile conflicts, analyse business requirements and system goals from multiple sources (e.g., product, technology, marketing, operations). Reconcile conflicting needs translating them into clear functional specifications. Establish AI‑specific requirements where applicable, including data needs, XAI, RAI, model behavior, integration points and security.Analyze system workflows and processes to identify improvement opportunities across automation, operational support, engineering, prediction and modern AI capabilities such as LLMs, RAG and agentic systems. Build a clear end‑to‑end view of business needs, system constraints and AI opportunities applying strong technical skills across APIs and data flows. Use a working knowledge of prompt design and model behaviour to shape requirements whilst collaborating effectively with AI engineersWork closely with architects, developers and engineers to shape high‑quality system enhancements and integrationsIdentify and resolve conflicting priorities, dependencies and constraints across teams and departmentsIdentify business needs and drive process improvements by working with stakeholders to determine how Business Intelligence tools can address challenges and deliver strategic, data‑driven solutionsSupport change management communicating requirement updates effectively ensuring traceability through development, testing and deployment. Maintain a central repository of business requirements, change requests and release notes.Translate complex (sometimes contradictory) inputs into unified, actionable specifications whilst acting as a mediator to drive alignment and facilitate constructive compromiseCollaborate with project managers and product owners to ensure scope clarity and delivery feasibility; whilst understanding operational pain points and translating them into software requirements. Shape platform features such as booking flows, driver apps, payment systems and routing logic with developers and product managers.Conduct market research and data analysis to identify trends and opportunities, recommend system enhancements and assess the competitive landscape. Develop and present process improvement plans and recommendations.Support testing and rollout of new features across multiple environments
Ai FocusIdentify opportunities where AI, automation or advanced analytics can enhance business processes and unlock greater operational efficiencyAssess AI feasibility given data readiness, integration complexity and expected business value. Analyze data sources, data quality and data flows necessary to support system and AI requirements. Support monitoring of data quality and AI‑related data issuesWork with AI engineers and data scientists to define model inputs, outputs, and integration requirements. Validate AI model behaviour alignment of outputs with business expectations. Collaborate with data engineering teams on mappings, transformations and pipeline needsEnsure AI use cases follow core responsible‑use guidelines (accuracy, transparency, user impact). Contribute to risk and impact assessments for new AI capabilities
Minimum Education/Qualifications
Bachelor’s degree in Computer Science, Information Systems, Business or related field3+ years of experience in Technical System/business analysis, preferably in a matrixed or agile environment, ideally in taxi or rideshareExperience with requirements management tools such as Jira, Confluence, Trello and data dashboards (e.g., Power BI)Foundational knowledge of AI/ML concepts (LLMs, predictive models, , RAG, AI Agents, Agentic AI) and automation.Strong understanding of SDLC and agile methodologies (Scrum, Kanban etc.) and practices like creating and refining user stories and writing acceptance criteria.Understanding of cloud platforms (AWS, Azure, GCP, VMware), CI/CD pipelines, DevOps practices, and FinOps principles to enable analysis, support and optimization of cloud‑efficient workflows
Purpose & ScopeThe role supports the corporate entity shared services function covering accounting, budgetary control, capital expenditure & cash management, treasury & tax management.Key Responsibilities· Responsible for the financial of the holding company· Performs timely month-end close and submission of financial results/ management reports· Prepare cost centre reports by functions with analysis· Oversees intercompany billings and minimal discrepancies in intercompany transactions· Review GST filing of return and income/deferred taxes computations, quarterly· Work with tax consultants on income tax filing matters· Support annual budget cycle by working closely with other corporate divisions· Support Group Reporting team for year-end reporting· Perform ad-hoc assignments/ projects assignedQualifications/Requirements· Degree in accounting/finance, and/or professional certification (e.g. ISCA, ACCA, CPA)· Over 3-5 years relevant working experience in accounting/financial reporting, and finance shared services centre experiences· Hands-on experience with SAP S4 HANA is preferred· Positive attitude with a willingness to learn and contribute to knowledge sharing and improvement· Excellent written, oral communication and interpersonal skills· Ability to communicate effectively and have good stakeholders’ management
