Top Data Jobs in Singapore

The Solutions Architect will oversee Oracle ERP implementations, design solutions across various modules, coordinate with teams, and ensure alignment with business goals, leveraging Oracle technologies.

The Client Manager is responsible for acquiring new clients and expanding existing accounts by pursuing sales leads and collaborating with internal teams.

The Director, Enterprise Architect (SAP) leads SAP solution design during the sales process, aligning client business needs to technical architectures and driving sales through strategic advisory and solutioning.

Responsible for sales results in mid-size and large accounts, developing customer relations, analyzing sales data, and driving innovative products.

This role involves identifying growth opportunities in Live Data services, upselling within existing accounts, managing a sales pipeline, and collaborating with the Account Management team. Strong sales experience, industry knowledge, and communication skills in English and Mandarin are essential.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

As an Actuarial Intern, you will support database solutions, manage data flow, validate data, and collaborate with teams on data initiatives.

The Operations Manager oversees M&E engineering services in Data Centre facilities, managing operations, teams, compliance, client relations, and financials.

The Senior Data Engineer will design, build, and operationalize data solutions, focusing on creating large-scale data pipelines and supporting AI/ML teams, while ensuring client value and effective partnership.

The Document Manager oversees document control and quality assurance for construction projects, ensuring compliance and effective documentation management.

Develop and implement data science models and algorithms, analyze complex data sets, ensure data quality, and collaborate with stakeholders to optimize data processes.

The Logistics Data Analyst is responsible for data collection, analysis, and visualization to support decision-making and improve company processes.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

Lead the lifecycle of data products from discovery to delivery, collaborating cross-functionally to enhance AI-driven tools and analytics.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

Lead AI and advanced analytics projects in health domain, focusing on model development, ethical AI practices, and leading a team of data scientists.

The Senior Data Scientist leads technical initiatives, develops deep learning models, and mentors junior team members while working directly with customers to build impactful AI solutions.

The Principal Data Scientist will lead technical initiatives, develop deep learning models, manage data pipelines, and mentor junior team members while collaborating with customers and engineers to create impactful AI-driven solutions.

As a Data Scientist, you will translate business problems into data analytics solutions, manage the ML lifecycle, and improve driver incentives through statistical analysis.

The Cloud Services Sales Specialist identifies, develops, and closes cloud managed services deals, engaging with clients and internal teams. They build strong client relationships and drive the sales process while addressing client needs and objections.

Lead the Service Management practice following ITIL v4 principles, ensuring performance management and continuous improvement across services while managing stakeholders and suppliers for successful service delivery.

The Senior Associate Business Intelligence Analyst transforms data into insights for decision-making, creating reports and visual analytics, and collaborating with teams to optimize data use.

Lead the design of AI infrastructure solutions using NVIDIA and HPE technologies for enterprise clients, focusing on hardware architecture, software integration, and cloud solutions.

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

The role involves bridging clients and developers to create impactful software solutions, defining roadmaps, and ensuring alignment with business objectives. Responsibilities include stakeholder engagement, managing product backlogs, architecting AI use cases, and ensuring traceable AI decision-making.