Top Data Jobs in Singapore

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.

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.

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.

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, 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.

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.

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.

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.

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.

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.

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 and execute Vantage's APAC public policy strategy, manage government and regulatory engagement, build and lead a regional policy team, coordinate with internal stakeholders, manage third-party advocates, ensure compliance with lobbying and anti-corruption laws, translate policy risks into business actions, and support sustainable, community-aligned growth across APAC markets.

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.

Provide L3 managed services support across cloud, security, networking and applications. Proactively resolve high-complexity incidents, ensure SLAs, mentor L2 staff, create knowledge articles, engage vendors, and input into automation and operational improvements.

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.

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.

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.

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.

Provide L2 managed services support: monitor, investigate, and resolve incidents; manage tickets and SLAs; execute changes and contribute to change management; audit tickets, recommend automation, handle escalations, assist in disaster recovery, and collaborate with teams and clients to maintain service quality.

NTT DATA's Associate Graduate programme provides structured learning, mentorship, and hands-on exposure across cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity. Graduates work on real client projects, earn certifications, build technical and professional skills, and explore specialised career pathways such as Cloud Engineering, Data Engineering, AI/ML, and Cybersecurity.

Build and maintain automated data pipelines, dashboards, and alerting to monitor payment channel performance. Implement ETL (Python/SQL), create dashboards and reports, set up anomaly and TPV-limit alerts, and explore lightweight AI/automation tools. Document deliverables for handover.

Manage Applications resource master, skills matrix, allocation and forecasting. Run weekly Resource Council, match demand to capacity, identify allocation risks, coordinate sourcing (internal, offshore, vendor, hiring), and provide capacity insights to practice, portfolio and delivery leaders.

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.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.