Top Data Jobs in Singapore

Own and standardize QA/QC processes and templates, run program-level audits across construction projects, support pre-construction quality input, consolidate and analyze project quality data, identify systemic trends and root causes, produce executive dashboards and reports, assess contractor performance, and feed lessons-learned into CAPA and process improvements.

Lead Markets Operations control, country oversight and data governance: design and embed control frameworks, ensure regulatory and country compliance, run data strategy and MIS, establish KPI/KRI/SLA reporting, drive control transformation and automation, and build a specialist team to sustain operational resilience and assurance.

Design and optimize end-to-end account safety frameworks and fraud detection strategies. Use data analytics, ML/DL, graph methods and LLM-assisted analysis to detect anomalies and malicious behavior. Build, deploy, and monitor scalable real-time models and rule engines, run A/B tests, and collaborate with engineering, product, and risk teams to balance user experience and risk control.

Lead strategy, development, commercialization and lifecycle management of indicative pricing and market data products for capital markets across APAC. Define roadmap, drive revenue and P&L, partner with broking, engineering, analytics and sales, ensure methodology and data governance, engage clients and partners, and mentor product teams to deliver market-leading data and analytics solutions.

Lead semiconductor manufacturing analytics: own test analytics strategy, build analytics platforms, implement quality screening (PAT, SBL, outlier detection), integrate foundry/OSAT/MES systems, design data infrastructure and automation (ETL, dashboards), and drive operational excellence across wafer, assembly, test, and quality.

Serve as primary customer contact overseeing project delivery and ongoing service operations for data center projects. Manage SLAs, costs, quality, schedules, risks, cross-functional coordination, and continuous improvement to ensure customer satisfaction and contract compliance.

Provide on-the-ground administrative, logistical and personal/family support to the Executive Director in Singapore; coordinate with the Hong Kong EA; arrange and process business travel and expenses; support other senior executives' travel/expense needs; liaise with internal teams, vendors, schools and service providers; handle confidential matters and urgent requests with discretion.

Serve as primary customer contact for data center project delivery and operations. Ensure SLA compliance, manage costs, lead virtual delivery teams, coordinate cross-functional resources, oversee construction/customization projects, drive continuous improvement, and ensure adherence to procurement, audit, and ITIL processes to maximize customer satisfaction.

Serve as primary customer contact to manage project delivery and ongoing data center services. Lead cross-functional teams to meet SLAs, control costs, manage schedules, quality, risks and escalations, drive continuous improvement, ensure compliance with procurement and ITIL processes, and secure customer acceptance.

Support the Customer Success Manager by coordinating customer communications, tracking SLA performance, preparing reports, assisting project schedules and documentation, ensuring compliance with ITIL and governance, and liaising across operations, network, IT, and construction teams to resolve issues and improve service delivery.

Lead data acquisition and partnership activities for Transport AI, developing a prioritized multimodal data roadmap, negotiating data access with agencies and industry, enforcing data standards and governance, building secure ingestion platforms, and working with legal, cyber and AI teams to onboard datasets for analytics and AI use cases.

Design, develop, automate, and maintain Power BI supply chain dashboards by extracting and transforming data from MRP/enterprise sources. Perform ETL, data quality checks, reporting, stakeholder engagement, project coordination, and provide insights to improve supply chain visibility and operations.

Manage and maintain document control systems and policies across project lifecycles for data center programs. Implement DMS, ensure compliance and security, train staff, perform audits, and support document retrieval and archiving to enable efficient project coordination.

Provide technical consulting and design end-to-end big data solutions for enterprise customers; lead workshops, demos and PoCs; support cloud migration and platform modernization; differentiate Tencent Cloud versus competitors; coordinate between international sales and Tencent R&D; translate international data compliance, localization, and multi-cloud needs into product roadmap recommendations.

Own commercial analytics and analytics engineering: translate business questions into structured analysis, build trusted dbt datasets and semantic metrics, create decision-ready dashboards, improve data quality, and partner with Commercial, Pay/Risk, Marketing, and Finance to drive business outcomes.

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.

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.

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.

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.