Top Data Jobs in Singapore

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Lead a data insights team to deliver analytics, AI and automation solutions that drive measurable business outcomes. Partner with stakeholders to translate problems into analytical initiatives, manage end-to-end analytics lifecycle, operationalize AI-enabled capabilities, establish KPIs and reporting, and mentor data talent to build organizational analytics maturity.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Partner with customers in APJ to design, run, and analyze experiments; advise on statistical methodology, measurement frameworks, and experimentation architecture; create enablement materials; collaborate with Sales, SE, Product, and Engineering to scale experimentation programs and influence product direction.

The Associate Director will lead engineering strategy, oversee multiple teams, ensure quality delivery of applications, and promote a high-performing, innovative engineering culture.

Lead development and evolution of the Group's AI risk framework, translate policy into practical controls, engage business and tech teams, monitor AI use cases, guide resolution of control gaps, and align frameworks with regulatory expectations and industry developments.

Support and coordinate GenAI training and advocacy across the bank, run workshops, clinics and hackathons, analyze and report on program metrics, develop learning content, collaborate cross-functionally, evangelize innovation, and coordinate internal festivals and campaigns to boost adoption and acumen.

The Senior DBA/Data Platform Engineer will manage SQL Server environments, ensuring reliability, performance, and disaster recovery, while collaborating with various teams to enhance database operation and support software delivery.

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.

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.