Top Data Jobs in Singapore

Lead APAC procurement for site operations: develop procurement strategies, manage vendor relationships and contracts, drive cost savings, ensure SLA compliance, coordinate with operations and legal, and report supplier performance for data center sites.

Investigate transaction and financial data to detect anomalies, fraud, and risk exposures. Partner with Finance, Risk, Compliance to frame questions, produce trusted analytics, dashboards, and alerts, and help design and validate AI-driven monitoring and automated reporting. Improve data quality, metric definitions, and support automation of manual checks to ensure reliable financial reporting and risk controls.

Administer and maintain enterprise SharePoint farms, site collections and SQL Server environments across on-prem, hybrid, and Microsoft 365. Perform patching, upgrades, HA/DR, migrations, governance enforcement, automation via PowerShell, monitoring, incident response, and compliance activities. Support Exchange, Teams and Skype for Business integrations, participate on-call rotations, and collaborate with security teams to ensure system reliability and audit readiness.

Manage and maintain SharePoint farms and site collections, administer SQL Server for SharePoint and applications, implement HA/DR, automate tasks with PowerShell, ensure security/compliance, support hybrid M365 integrations, monitor systems, perform incident resolution and on-call duties, and participate in disaster recovery testing.

Manage month-end close and journal entries for assigned entities, prepare management accounts and audit-ready financial statements, perform balance sheet reconciliations, support system enhancements, identify process improvements, and liaise with auditors and stakeholders to ensure compliant and accurate financial reporting.

Lead development and maintenance of the banks Data and AI risk management framework, set data risk appetite and controls, translate regulatory expectations, codify standards, and ensure consistent definition and reporting of data risks and control gaps across the Group.

Lead development and refinement of the banks AI risk framework; apply frameworks to use cases; review higher-risk AI applications; liaise with business, technology, and control owners; track remediation and emerging risk themes; prepare governance materials and monitor regulatory developments.

Manage user acquisition and retention funnels; design, implement, track, and optimize multi-platform acquisition campaigns; own BI and CRM dashboards; measure marketing channel performance; run experiments to improve ROI; work in a small team and take ownership of growth projects.

Build, test, and deploy scalable, data-intensive web search and analytics systems for national-security use. Design architectures, write maintainable code and tests, monitor system health, optimise performance, deliver proofs-of-concept, and support mission-critical deployments.

Ensure reliability, availability, and performance of data centre IT operations. Manage day-to-day monitoring, incident lifecycle, capacity planning, documentation, observability and network monitoring, remote management tools, and define SRE metrics (SLO/SLI/error budgets). Collaborate with facilities on power, cooling, and physical infrastructure.

Design, develop, and deploy large-scale data systems to support cybersecurity products for threat detection, investigation, and analysis. Build scalable, high-availability architectures, microservices, and RESTful APIs with CI/CD. Monitor system health and telemetry, scale systems for growing data volumes, and collaborate with cross-functional teams to meet operational needs.

Design, develop, test, and maintain scalable data processing applications and APIs. Build and operate data pipelines, improve system resiliency, participate in code reviews, document solutions, and prepare production-ready data for AI applications while collaborating within an Agile team.

Lead design, build and maintain scalable, low-latency large-scale data pipelines. Optimize performance, ensure data quality and governance, troubleshoot critical systems, mentor junior engineers, and collaborate with stakeholders to deliver mission-critical data products.

Design, build, and maintain full-stack applications and data pipelines to enable data discovery and sensemaking. Integrate modern technologies, debug and optimize systems, participate in code/design reviews, and communicate solutions to stakeholders.

Lead design, build, test and deploy scalable data-intensive web analytics systems and APIs for national-security use cases. Guide performance, reliability, proofs-of-concept (including agentic AI), mentor juniors, and collaborate with product and stakeholders to deliver impactful solutions.

Manage and optimize a scalable, secure Data Exploration Platform: deploy, patch, tune performance, enforce access controls, support stakeholders with technical guidance, and drive platform improvements and best practices for data analytics and visualizations.

Own the end-to-end analytics lifecycle: define measurement frameworks, build and maintain data pipelines and dashboards, analyze product/behavioural/model data, support experiment/A-B test design, ensure data quality, and communicate insights to influence product and model decisions.

Design, build, and support end-to-end data solutions for Global Markets: gather requirements, source and transform data, develop data models, ETL, dashboards (Tableau/Power BI/Qlik), administer analytics platforms, ensure production reliability, and support advanced analytics and migration from Tableau to Power BI.

Architect and provide fourth-line managed services and platform engineering across cloud, security, networking and collaboration. Lead resolution of complex escalations, design resilient IaC and GitOps standards, manage multi-tenant Kubernetes, enforce SLOs/SR, mentor teams, perform RCAs, automate operations, support DR and project delivery to meet SLAs.

Architect and operate enterprise network security as L3/L4 escalation: design and manage firewalls, IDS/IPS, VPNs, NAC, cloud network security, Zero Trust/SASE, perform incident response and root-cause analysis, mentor junior teams, author HLD/LLD, automate tasks, and support DR and security policy development to meet SLAs.

Structured graduate programme offering hands-on exposure to cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity through client projects, mentorship, training, and industry certifications to launch technology careers.

Provide advanced L3/L4 managed services and automation across Cloud, Security, Networking, Applications and Collaboration. Troubleshoot and resolve escalated incidents, perform root cause analysis, implement automation, coach L1/L2 teams, manage changes, support projects and disaster recovery, and document and share knowledge to meet SLAs.

Manage and grow assigned Financial Services Industry (FSI) accounts, drive new logo acquisition, meet revenue and margin targets, minimize churn, and expand services. Use Salesforce/CRM to manage pipelines, coordinate global stakeholders, develop account strategies, and translate client needs into actionable solutions throughout the buying lifecycle.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

6-month internship to develop and integrate agentic AI systems and RAG pipelines, connect agents to internal data/APIs, build prototypes, and measure agent impact alongside data analysts and engineers.