Top Data Jobs in Singapore

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.

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.

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.

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.

The Sales Specialist will drive sales of pricing and reference data services to institutional clients, focusing on middle and back office teams. Responsibilities include developing client relationships, articulating compliance value, and supporting workflow transformation efforts.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

In this role, you will apply expertise in AI and data science to deliver impactful solutions for clients, leveraging your skills to solve complex challenges and engage with a diverse client base.

Assist in data collection and annotation processes to enhance self-driving software development, collaborating with teams for data quality and sensor calibration.

The role involves ensuring compliance with quality standards in biopharmaceutical manufacturing, providing QA consultation, managing KPIs, and implementing compliance initiatives.

Lead the development of AI-enabled cybersecurity capabilities, focusing on data engineering, automation, and governance. Drive team performance across multiple domains ensuring consistency in operations and compliance with regulatory standards.

The Senior Data Engineer will design and implement data pipelines, modernize systems, and ensure data governance on cloud platforms. Responsibilities include real-time data processing, ETL workflow creation, and collaboration with teams on data solutions.

The Data Scientist will design and develop data platforms, optimize ETL pipelines, and drive analytics and AI implementation within the Thales In-Flyt Experience ecosystem.

Support APAC revenue growth and go-to-market initiatives by analysing merchant transaction data, scheme performance, and payment economics. Build pricing models, recommend routing optimizations, design enterprise pricing, and partner with sales to structure multi-regional commercial deals to protect margins and increase approvals.