Top Data Jobs in Singapore

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

The Senior Sales Specialist identifies and pursues leads, establishes client relationships, and collaborates with internal teams to achieve sales targets through solution-based selling.

A structured graduate programme delivering technical training, mentorship, certifications and hands-on client project experience across cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity to prepare graduates for specialised technology career paths.

The Client Partner role involves generating demand for cloud services, building client relationships, managing sales processes, and constructing managed services deals while collaborating with internal teams and partners.

As a Senior Associate Client Manager, you will manage client relationships, drive expansion and renewals, and ensure satisfaction through effective communication and sales strategies using Salesforce.com and other tools.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Manage commercial aspects for DayOne's global data-centre customers: pricing, contract negotiation and risk assessment, deal committee approvals, sales support, forecasting, churn/renewal reviews, costing analysis, process improvements, and digitizing quotation workflows.

Lead HQ external affairs across multiple markets: stakeholder mapping, multi-market policy intelligence, government and institutional engagement, cross-market projects, corporate positioning, CSR oversight, issue monitoring, and internal alignment for public-sector initiatives.

Lead design and delivery of Power BI dashboards, datasets, and semantic models; build and maintain data pipelines with Microsoft Fabric; manage enterprise data lake/warehouse architecture; ensure data quality, governance, security, and performance; partner with stakeholders to define KPIs and reporting requirements.

Serve as technical counterpart to sales for hyperscale accounts, coordinating customer engineering and internal design, delivery, operations, and construction teams. Drive technical workstreams for large contracts, translate customer fit-out and connectivity requirements into delivery actions, manage cross-functional program timelines, identify and mitigate technical risks, and build customer confidence through rigorous coordination.

Lead and govern global enterprise application projects (SAP, Power Platform, eProcurement). Plan, track, and deliver multi-country initiatives, manage vendors and stakeholders, coordinate integrations and UAT, ensure compliance (SOX/ITGC), and drive continuous improvement and knowledge transfer.

Lead multidisciplinary engineering programs to deliver data center infrastructure from planning through ready-for-service. Manage schedules, risks, onsite delivery, procurement integration, commissioning, vendor selection, and drive construction innovation and quality.

Support design, installation, operation, maintenance, and troubleshooting of data center electrical systems (PDUs, UPS, generators, switchgear). Perform preventative/corrective maintenance, coordinate vendors, ensure safety/compliance, maintain documentation, and support strategic electrical initiatives to enable 24/7 operations.

Lead tax workstreams for cross-border M&A, new market entry, joint ventures, disposals and restructurings. Manage tax due diligence, draft mitigation plans, advise on legal structures, review transaction documents, and coordinate with legal and finance for post-deal integration across multiple jurisdictions.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Develop, implement and maintain machine-learning credit risk models for consumer, small business and wholesale portfolios. Monitor and back-test model performance, support model governance and validation, engage auditors/regulators, and collaborate with stakeholders to apply model outputs to decisioning, allowance and capital assessment.

Build, deploy, and maintain predictive models and GenAI-powered applications; analyze large datasets to extract insights; collaborate with stakeholders to design solutions and visualizations; architect scalable reusable AI services and stay current with machine learning and generative AI advances.

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 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.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

Senior Application Solutions Sales Specialist responsible for driving enterprise application sales, building client relationships, coordinating with technical and delivery teams, and meeting revenue targets. Represents NTT DATA's application and digital services in a hybrid working model.

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.

Embed with strategic customers to design, deploy, and operate large-scale distributed storage and AI infrastructure. Debug performance and networking issues, write code and automation, collaborate with customer engineers, and translate operational requirements into product improvements to ensure successful production deployments.