Top Data Jobs in Singapore

Manage daily data privacy operations, including data subject requests, privacy assessments, incident management, and regulatory compliance.

The Manager, TE Operations leads recruitment strategies, manages HR functions, ensures compliance, oversees financial management, and drives continuous improvement. They also mentor a team and enhance operational effectiveness in talent acquisition and HR processes.

Lead the development of AI-enabled cybersecurity capabilities, focusing on data engineering, automation, and governance. Drive team performance across multiple domains ensuring consistency in operations and compliance with regulatory standards.

The Data Scientist will design and develop data platforms, optimize ETL pipelines, and drive analytics and AI implementation within the Thales In-Flyt Experience ecosystem.

The Data Analyst will support digital transformation by automating workflows, managing data, building dashboards, and enhancing business operations with AI technologies.

The Sales Specialist will drive sales of pricing and reference data services to institutional clients, focusing on middle and back office teams. Responsibilities include developing client relationships, articulating compliance value, and supporting workflow transformation efforts.

Responsible for developing high-performance blockchain data infrastructure, enhancing systems for accessing data, and ensuring product quality and reliability. Collaborates across teams to align on specifications and performance metrics.

The Energy Strategy Manager evaluates early-stage energy strategies for data center developments, ensuring feasibility and risk assessment while collaborating with teams on strategy formulation and presentation to leadership.

The role involves designing ETL pipelines, analyzing data, and developing dashboards. Collaboration with IT and business teams is essential for data solutions.

The Data Centre Engineer will manage data and colocation centres, coordinate logistics, and ensure operational standards for security and upkeep.

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.

As a Software Technology Sales Specialist, you will drive software sales, identify opportunities, and collaborate with client managers to optimize sales strategies and solutions.

The Senior Manager, Software Applications Development oversees the design, development, and implementation of software applications, managing a team and ensuring projects meet business requirements and budgets.

The Senior Talent Acquisition Partner leads recruitment efforts, collaborates with hiring managers, develops strategies, and ensures a high-quality candidate pool for the organization.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

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

Assist in data collection and annotation processes to enhance self-driving software development, collaborating with teams for data quality and sensor calibration.

As a Client Manager, you will build client relationships, ensure satisfaction, drive sales growth, and develop account strategies using Salesforce.com.

The role involves ensuring compliance with quality standards in biopharmaceutical manufacturing, providing QA consultation, managing KPIs, and implementing compliance initiatives.

The Business & Data Analyst will partner with teams to analyze data, create data processing pipelines, and support analytics consulting projects, focusing on transport-related insights.

In this role, you will apply expertise in AI and data science to deliver impactful solutions for clients, leveraging your skills to solve complex challenges and engage with a diverse client base.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

As a Data Scientist, you will develop AI and ML models, collaborate with stakeholders to identify business challenges, and maintain deployed models and applications.

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

Design and maintain data pipelines for AI/ML models and analytics in supply chain. Collaborate with scientists, ensure data quality, and optimize ETL processes.