Top Data Jobs in Singapore

The Treasury Partnerships Manager strengthens partnerships with financial institutions, collaborating with teams on integrations, negotiating agreements, and managing relationships, particularly in the APAC region.

The Data Sales Relationship Manager generates new sales within Asia, builds customer relationships, achieves sales targets, and mentors junior employees while analyzing market trends and customer needs.

As a Data Analyst, you'll turn complex data sets into insights for clients, manage relationships, create analyses, and influence performance strategies.

The Data Production Engineer will automate data tasks, support trading teams, analyze data sets, and ensure data pipeline quality and reliability.

The Enterprise Account Executive, Acquisition role focuses on developing a sales strategy within a territory for new customer acquisition, meeting sales targets, and collaborating with Solutions Architects and Professional Services teams.

As a Consultant, you'll develop data strategies and optimize data operations for clients in Financial Services or Insurance, overseeing projects and ensuring effective communication with stakeholders.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Head of Fraud Solutions - APAC will oversee the fraud solution suite, drive account expansion and collaborate with various teams to ensure project success and customer satisfaction.

The Sales Manager will pursue new business opportunities, engage C-level clients, manage the sales cycle, and exceed sales targets in Singapore's tech market.

Design and implement scalable data infrastructure solutions, manage systems like Kafka and Spark, conduct maintenance and testing, ensure security compliance, and collaborate with cross-functional teams.

Manage the product development process for Fusion Data Management, collaborating across teams, conducting market research, and driving product initiatives.

The Enterprise Account Executive builds and maintains relationships with large enterprises, focusing on achieving sales quotas, developing strategies, and managing end-to-end sales processes, especially in financial institutions and utilities.

The Solutions Strategy Manager will lead offering development across Cloud, Data, AI, and Managed Services, creating a scalable portfolio aligned with market demand. Responsibilities include business case development, sales enablement, and financial tracking, requiring strategic thinking and hands-on execution to drive growth and innovations.

Lead strategy for AI and data policy across APAC, engage stakeholders, execute advocacy efforts, and manage strategic relationships.

The Sr. Engagement Manager ensures customer success by managing engagements, driving satisfaction, and collaborating with sales and product teams. Responsibilities include identifying service opportunities, consulting clients, and resolving delivery challenges.

The Insurance Account Lead is responsible for driving account growth, leading sales processes, building thought leadership, and executing account strategies in the insurance sector.

Lead responsibility for data and privacy legal matters in APAC, supporting fintech products and AI tools, collaborating with technical teams, and developing compliance programs.

The Strategy Lead designs, implements, and optimizes operations strategies, ensuring effective governance and driving cross-functional collaboration.

Manage risk portfolio, apply statistical and machine learning models to estimate market risks, and partner with stakeholders to provide data-driven decisions.

This role involves building a centralized risk platform with advanced analytics and machine learning, conducting risk analysis, and optimizing risk strategies while collaborating with internal and external stakeholders.

Design and implement experiments and develop algorithms to enhance payment success rates while collaborating across teams for strategic decisions.

The role involves driving product adoption through data analysis, designing growth experiments, building predictive models, and collaborating with cross-functional teams.

Oversee cross-functional initiatives for the Realtime Data Platform, define strategic roadmaps, scale engineering teams, and develop technical strategies for real-time data analysis.

Lead the data science team by providing mentorship, influence strategy through data analysis, and help shape product strategies based on data insights.

The Staff Data Scientist will support the CEO and regional leads with data analysis, causal inference, forecasting, and mentoring juniors. Responsibilities include building forecast tools and data products while collaborating with various teams.