Top Data Jobs in Singapore

The Technical Product Manager is responsible for product outcomes across the lifecycle, involving product vision, stakeholder engagement, backlog prioritization, and technical leadership.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.

The role involves developing technology policies, conducting research, coordinating AI efforts, and engaging with stakeholders to strengthen Singapore's digital economy.

The role involves researching technology policies, analyzing trends, developing strategies for emerging technologies, and coordinating efforts within IMDA for effective policy implementation and stakeholder engagement.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

Supervise ELV system installation, inspection, testing and commissioning support at data centre projects. Ensure safety, quality, HSSE compliance, coordinate with other disciplines, monitor progress, resolve site technical issues, and report against construction schedules.

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.

Senior hands-on technical architect for pre-sales and early adoption, designing and operationalizing enterprise data and AI architectures around Salesforce Agentforce and Data Cloud (D360). Lead prototypes, prompt engineering, agent interoperability, integrations with hyperscalers and data platforms, enablement, and governance to drive scalable, secure AI-enabled CRM solutions.

The Director of Platform Success is responsible for accelerating platform adoption and business transformation across APAC, ensuring alignment with global strategies while delivering measurable outcomes for regional growth.

Lead cross-functional special projects to improve air network planning and scheduling using optimization models, automation, and analytics. Design and deploy tools and scripts, integrate solutions with scheduling systems, pilot innovations, and enable operational teams. Act as strategic advisor to planning leadership and document standards and best practices for sustainable adoption.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.

Lead development of enterprise analytic data products, execute data strategies, and communicate technology concepts while guiding and mentoring teams.

This role involves designing, building, and maintaining data pipelines for compliance analytics, assessing existing data infrastructure, and collaborating with data scientists and engineers to ensure reliable data for compliance purposes.

Develop and validate analytical models for compliance use cases, translating regulatory requirements into analytical problems, and collaborating with ML engineers on implementation.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

The AI Data Specialist will perform tasks like data collection, evaluation, annotation, and tagging across various content types, primarily focusing on AI-generated content in Chinese.

The Data Architect will design and maintain data architecture frameworks, create data models, and provide solutions for data architecture. Must drive change management and understand analytics trends.

The role requires managing large Big Data projects, focusing on Hadoop ecosystem architecture and development with specific technologies like Spark, Hive, and Java, among others.

The Big Data role requires expertise in Hadoop, Spark, and various development tools, focusing on Big Data analytics and architecture.

The Data Analytics Developer role requires experience in finance, specifically in banking and financial services, strong data analysis skills, and knowledge of PL/SQL.

The IBM FileNet/Data Cap Administrator is responsible for the installation, configuration, and administration of IBM FileNet and Datacap applications, as well as performing system maintenance and upgrades.

The Data Analyst will work with users and technical teams to implement data warehouse solutions, perform data quality checks, and deliver functional specifications. Banking experience is essential.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.