Top Data Jobs in Singapore

The Senior Software Engineer for the Data Platform will design and build scalable data infrastructure, focusing on data processing, discovery, and lineage systems, ensuring robust code and system design.

As a Principal Data and AI Architect, you will design and implement enterprise-grade data and AI solutions for customers using Salesforce D360 and Agentforce, guiding executives and collaborating with teams to drive innovation and value.

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

The International Sector Analyst will conduct deep research to provide insights on industries, support investment decisions, and collaborate with data scientists and investment professionals.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Account Executive will manage sales and relationships with Genetec customers, focusing on increasing revenue in assigned territory, provides support to sales managers, and ensures communication with corporate office.

Lead alliances engineering activities, assist with technical presentations, work with R&D to define product requirements, and develop sales strategies for storage solutions.

The Client Project Manager leads client projects from concept to implementation, ensuring satisfaction, managing escalations, and coordinating teams, while promoting project services and managing change.

The Marketing Manager will oversee regional marketing initiatives in the APAC region, focusing on planning, execution, and vendor communication, especially in China.

The Data Science Internship involves modeling, AI innovation, data integration, and technical development while collaborating across teams to deliver insights and solutions in commodity trading.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.

Support product managers in app testing, analyze user behavior data, create reports, conduct A/B testing, and improve app features based on user insights.

The role involves leading technical architecture for data and AI solutions, guiding customers on integration with Salesforce and external platforms, and developing prototypes and best practices.

The Data Analyst will transform business goals into technical logic for BI, design reports, guide users in data interpretation, and develop frameworks for growth and profitability.

As a Global Client Manager, you will build and manage client relationships, ensuring satisfaction and driving sales growth using strategic planning and Salesforce tools.

The Vice President, Data Stewardship and Enforcements will oversee data governance initiatives, collaborate across teams, drive data governance maturity, and manage compliance and risk assessments.

The role oversees AI and data risk governance, ensuring compliance with regulations while managing the AI and data lifecycle effectively across the organization.

The Senior Client Manager manages and grows public sector accounts, driving expansion and renewals while coordinating with stakeholders and leveraging company tools for client satisfaction and revenue generation.

This internship involves leveraging AI and data analytics for business decision-making, supporting use case testing, and contributing to data innovation initiatives.

The Capital Markets Manager supports debt financing transactions, collaborates with finance teams, and monitors market conditions to aid capital planning and compliance.

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.

The role involves developing AI models, translating business problems into data science solutions, and integrating models into a marketing platform for influencer marketing.

Lead and manage end-to-end data project delivery, overseeing project scope, timelines, resources, and stakeholder communications while ensuring successful execution of data-driven initiatives.

As a Senior Data Engineer, you'll design and maintain data pipelines, translating complex requirements into scalable solutions using Python, collaborating with teams to deliver actionable insights in an Agile environment.