Top Data Jobs in Singapore

Lead and scale Data Engineering, DataOps, and Stewardship functions, ensuring delivery excellence of a cloud-native data platform for analytics.

Lead and scale the Data Engineering and DataOps functions. Oversee data ingestion, transformation, and operations to enable self-service analytics. Manage a hybrid team, ensuring end-to-end delivery excellence and data quality.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

Lead a rapid‑response PMO to drive enterprise transformation across AI, data analytics, digital assets and platform initiatives. Diagnose complex cross‑domain problems, prototype and scale production solutions, institutionalise reusable architectures and governance, manage partners, and align stakeholders to accelerate secure, compliant, and enterprise‑grade innovation.

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

The Senior Manager will oversee the Group Motor pricing strategy, apply data science for pricing, and ensure compliance with governance and regulations while partnering with stakeholders.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

As a Senior Client Manager, you will manage and grow client relationships, drive expansion, and ensure satisfaction throughout the client lifecycle. You'll leverage sales tools, develop effective communications, and contribute to revenue growth while coordinating internal and external resources for sales opportunities.

The DevOps Engineer is responsible for designing, implementing, and maintaining software solutions based on business requirements, utilizing multi-technology applications and CI/CD processes.

As a Sales Executive Lead, you will drive off-cycle growth by upselling live data services, managing accounts, and collaborating with teams to build a robust sales pipeline.

The Data Architect will define data architecture, facilitate integration patterns, and guide data governance for large public sector organizations.

The Sales Executive Lead will drive growth for Live Data services, identify upsell opportunities, and collaborate with the account management team to engage clients using data-driven pitches.

The Software Engineer for Data Infrastructure & Acquisition at Speechify will enhance data collection, manage infrastructures, and work with AI scientists to develop large-scale datasets.

The Vice President of Investment will evaluate investment opportunities, structure transactions, manage due diligence, and collaborate with advisors while supporting asset management initiatives.

The intern will construct and maintain data reports, develop data flows for overseas advertising, and manage the data system.

The Executive in CRM, Data Analytics & Customer Experience supports customer engagement initiatives through managing CRM programs, customer feedback, and performance analytics to enhance satisfaction and loyalty.

Manage HR data engineering initiatives by building data warehouses and pipelines. Transition to analytics, generating reports and dashboards for informed HR decision-making.

The Solutions Architect ensures client satisfaction during the sales cycle by providing technical support, training, and maximizing product utilization, contributing to revenue growth and client retention.

The role involves analyzing datasets, developing dashboards, building data pipelines, and collaborating with teams to translate findings into business strategies.

Conduct data analysis and machine learning to improve account safety on WeChat, track fraudulent accounts, and detect anomalies.

As a Software Engineer for Data Orchestration, you'll develop systems for high volume data processing, focusing on real-time fraud monitoring tools with a DevOps approach and collaborative workflows.

The Senior Mechanical Engineer will lead technical problem-solving, mentor engineers, oversee mechanical operations, and drive design initiatives across multiple data centers.

The Specialist in Data Analytics will analyze data to provide insights for business decisions, create reports, and collaborate on digital strategies to enhance APAC's eCommerce ecosystem.