Top Data Jobs in Singapore

Two-year Talent Accelerator for Senior-level scientists to integrate biology, data, and AI in translational drug discovery. Work in multidisciplinary teams to develop translational models, spatial omics and imaging assays, AI/ML pipelines, and multimodal data integration to identify biomarkers, inform target decisions, and communicate findings to stakeholders.

Support distribution & logistics team with data collection, analysis, and audits. Create templates, work with external partners, benchmark performance, audit freight documentation, assist monthly customs compliance reporting, generate management reports, and support SOP and project implementation.

The Consultant/Senior Consultant will manage projects, develop practice-related content, and enhance data delivery methodologies, ensuring timely and quality project completion.

The role involves leading data governance and finance transformation projects, supporting client initiatives, and implementing enterprise data strategies for financial institutions.

Lead design and execution of data and AI governance for a regional digital bank: define policies, lifecycle frameworks for ML/GenAI, implement governance tools and dashboards, coordinate incident response, and partner with data, MLOps, product, tech and risk teams to embed privacy, fairness and regulatory compliance across AI and data systems.

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.

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.

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.

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.

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.

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.

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.