Top Data Jobs in Singapore

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 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.

The Data Scientist will develop ML models, conduct applied research, collaborate within product teams, and work on exploratory projects with government agencies.

Manage the design and lifecycle of Web3 infrastructure products focusing on data services, market data systems, and algorithm platforms. Collaborate with teams to meet performance and security needs, leveraging advanced AI technologies and on-chain data analytics.

Lead advanced analytics initiatives in compliance domains, translating regulatory requirements, mentoring staff, and ensuring quality and governance standards.

The Senior Data Analyst will convert marketing data into insights, enhance reporting, ensure data integrity, and manage an intern. Collaborate with leadership to improve marketing strategies and drive company growth.

The Technical Specialist provides guidance, performs certifications, engages in sales activities, maintains client relationships, and supports standards development.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

The AVP will lead data analysis and implementation execution, coordinating with teams to deliver solutions for client data requirements and ensuring data quality and validation.

The role involves managing AI and data science projects, engaging stakeholders, and delivering data-driven solutions while leading a team and guiding junior members.

The Client Partner role involves generating demand for cloud services, building client relationships, managing sales processes, and constructing managed services deals while collaborating with internal teams and partners.

The Cloud Client Partner at NTT DATA will drive managed services and outsourcing sales by building client relationships, generating demand for cloud solutions, and collaborating with internal teams to close deals.

As a Cloud Client Partner, you'll identify and close managed service deals, engage with clients, and construct tailored solutions, ensuring a deep understanding of their needs and driving sales process to closure.

The VP, AML & Data Analytics Program Manager will lead AML initiatives, drive program delivery, manage governance, and leverage data analysis to enhance processes and decision-making across AML operations.