Top Data Jobs in Singapore

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.

As an Enterprise Architect, you will guide major clients in digital transformation and technology roadmap alignment using Salesforce solutions, building relationships and delivering enterprise-level insights.

The Account Executive engages with customers to sell Salesforce solutions, focusing on building relationships and developing strategies to meet customer needs.

The intern will set up and deploy data processing pipelines, collaborate with clients for feedback, and conduct research for product innovation in fraud detection and automation.

The role involves driving AI and Data governance strategies, collaborating across teams, assessing data and AI risks, and improving data quality initiatives within the bank.

Regional advisor providing technical MEL and conservation data support across Asia Pacific. Build relationships with regional leaders, align data quality and reporting standards, deliver analytics and dashboards, coach teams on evidence-based adaptive management, and scale CDT offerings while ensuring cultural relevance and measurable impact.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.

The BI Data Analyst designs and supports BI solutions using Power BI, engages with business stakeholders, and develops analytical tools to support commodity trading operations.

The Director of Investment will identify, structure, and negotiate investment opportunities, manage due diligence, and mentor junior team members.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

Lead the development and execution of AI strategies, training programs, and tools within the analytics team to drive business growth.

The Lead Data Scientist will develop machine learning solutions for fraud detection, manage model creation, deployment, and collaborate to ensure business impact.

The Data Engineer designs and maintains data architectures and pipelines, processes datasets, optimizes ETL processes, and collaborates with teams to support data-driven decisions.

As a Solutions Architect, engage clients to develop network strategies, create custom solutions, and oversee technical design and implementation processes.

The Principal Advisor leads technology transformation initiatives, shaping strategies and governance to ensure successful delivery and alignment with business outcomes across various domains such as cloud and data. They engage with senior executives, oversee presales activities, and guide organizational change while developing new consulting methodologies and frameworks.

Lead data center research across APAC, focus on market analysis and forecasting, provide client advisory support, and mentor research team members.

Lead ETL, data processing, and analysis to generate actionable market intelligence for maritime clients. Build forecasting models, maintain dashboards and reports, support commercial desks with real-time insights, and present findings to stakeholders.

Design, develop, and maintain scalable ETL pipelines moving data from Oracle Fusion and EBS into enterprise data warehouses, data lakes, and analytics platforms. Perform BAU EBS database administration and support Fusion-related data preparation, cleansing, validation, and data transition activities.

Lead Line-2 oversight of enterprise AI and data risk governance. Develop and implement governance frameworks, policies and KRIs; perform independent reviews; serve as Data & AI Committee secretariat; coordinate regional adoption, training, regulator engagement, and provide risk reporting and remediation guidance to senior management and Board.

Own material master data integrity across PLM/ERP systems. Build ETL pipelines, data quality checks, and dashboards (Power BI/Tableau). Analyze component parametrics, BOMs, and supplier data to predict obsolescence and mitigate supply chain risk. Partner cross-functionally to improve cost, lead-time, and data governance.

Lead research initiatives for APAC data centre markets, driving thought leadership, market intelligence, and strategic insights, while mentoring research staff.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

The Data Processing Specialist role at Iron Mountain focuses on joining a team committed to providing solutions in records management and transformation services.