Top Data Jobs in Singapore

Lead and deliver multiple concurrent projects or programs from concept to implementation across geographies and technologies. Manage stakeholders, budgets, scope, change control, risks, issues and escalations. Act as primary client contact, ensure quality and satisfaction, coordinate teams, and support pre-sales and proposals when required.

Abstract and enter clinical data from healthcare records, apply clinical operations policies, troubleshoot VPN/MFA access, maintain confidentiality, and provide guidance to less-experienced team members while ensuring data quality and workflow adherence.

Lead Commercial Data Products roadmap for retail, eCommerce, sales and trade promotion domains. Gather stakeholder requirements, translate to technical specs, prioritize features, define KPIs, and partner with data engineering, visualization and AI teams to deliver measurable business value.

Design, build, and maintain large-scale batch and real-time data pipelines and data platform artifacts (tables, marts, views). Perform extraction, cleaning, transformation, and web scraping. Integrate data silos, develop backend APIs, ensure data governance, and collaborate with cross-functional teams in an Agile CI/CD environment.

Build and maintain end-to-end data pipelines and medallion data lake architectures on Databricks and AWS. Implement data governance with Unity Catalog, ensure data quality, prepare analytics-ready datasets, support basic ML pipelines, and collaborate with stakeholders to meet reporting and BI needs.

Lead development and execution of enterprise data governance and strategy. Establish governance frameworks, drive data quality and MDM initiatives, define enterprise data models, collaborate with stakeholders to improve data architecture and accountability, and prepare governance reporting. Explore AI-driven tools to enhance governance.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

Lead Group Market Data category and IT software strategic sourcing: establish governance, optimise spend and licensing, drive sourcing strategies, negotiate complex vendor contracts, manage vendor relationships, and partner with Technology, Risk, Finance and business stakeholders to deliver compliant, cost-effective outcomes.

Lead transformation of actuarial processes through automation, analytics, and AI. Identify use cases, define requirements, support solutioning, testing and UAT. Manage actuarial data and build reusable analytics pipelines for persistency and claims, improving data quality, lineage and reporting. Support AI pilot delivery and scaling for actuarial reporting and MI.

Lead modernization of actuarial reporting through automation, process redesign, enhanced analytics and AI. Manage PACS/FFP+ projects, define actuarial AI roadmap, deliver pilots and scaled solutions, and coordinate cross-functional stakeholders to improve reporting efficiency, controls, and actionable insights.

Design, build and test prototypes using emerging technologies (AI/GenAI, autonomous agents, multimodal AI, quantum). Collaborate with product, design, and engineering teams to iterate, showcase proofs-of-concept, and drive adoption across the bank while researching frontier tech and enabling rapid experimentation.

Lead strategic foresight and innovation intelligence: research emerging trends, generate actionable insights, build and run sensing communities, engage external ecosystem, and present recommendations to senior leadership to inform DBS's innovation strategy.

The International Sector Analyst will conduct deep research to provide insights on industries, support investment decisions, and collaborate with data scientists and investment professionals.

The Network Technology Sales Specialist engages with clients, identifies opportunities, presents solutions, manages sales processes, and fosters relationships with senior executives to drive growth for NTT DATA.

The role involves analyzing datasets, developing dashboards, building data pipelines, and collaborating with teams to translate findings into business strategies.

Conduct data analysis and machine learning to improve account safety on WeChat, track fraudulent accounts, and detect anomalies.

Lead commercial technology and data initiatives for EMEA commercial teams: manage cross-functional projects, drive adoption of SFA/TPM/CRM tools, ensure compliance (SOX, GDPR), perform business analysis, change management, stakeholder engagement, and SLA/vendor management.

Build and enhance enterprise analytics and visualization solutions: develop interactive dashboards, data-driven apps, transform and prepare data with Python, implement frontend visualization components with TypeScript, integrate with Microsoft and Google enterprise ecosystems, and use AI tools to accelerate development while collaborating with stakeholders and owning deliverables end-to-end.

Lead complex analytics for global complaint vigilance: perform trend and risk analyses, build dashboards, support data ingestion and data-lake strategy, present findings to QA and cross-functional partners, and enable corrective action and regulatory responses.

Lead data science workstreams to build production-ready deep learning and probabilistic models integrated with multi-physics simulations. Own data preprocessing, scalable data pipelines, model architecture, deployment, cross-functional collaboration, customer-facing co-development, internal R&D, and mentoring of junior team members.

Lead development and deployment of deep learning and probabilistic models for multi-physics engineering problems. Architect scalable data pipelines, collaborate with simulation engineers, drive R&D, mentor junior team members, and work directly with customers to integrate models into production, including onsite customer collaboration and presentations.

Design, develop, and deploy data science and AI solutions for HDB; lead model selection and implementation, collaborate with stakeholders and engineers, improve team workflows, and maintain high technical standards across projects.

Lead technical delivery of electrical systems for newbuild and infrastructure fit-out projects (preferably data centers) across APAC. Review and QA design documents in BIM360/3Dx, coordinate with clients/contractors/vendors, perform electrical/plumbing/fire protection analysis, support design-for-manufacture, run thermal/hydraulic/CFD studies, maintain deliverables and revision control, and ensure compliance with standards and owner requirements.

The role involves managing data ingestion pipelines, collaborating with scientists for data optimization, and ensuring efficient data collection to support AI model training.

Lead rollout of APAC data culture and literacy strategies, design and deliver engagement and training initiatives, produce executive communications and presentations, coordinate cross-functional multi-country deliverables, and support stakeholder management to drive data-driven decision-making.