Top Data Jobs in Singapore

Leads Igloo’s enterprise technology solutions portfolio, positioning, productisation roadmap, complex enterprise sales cycles, solution design, and commercial pipeline. Translates platform capabilities into business value for insurers, banks, fintechs, and digital platforms; oversees architecture, integrations, security posture, ROI cases, and implementation handoffs. Builds ecosystem partnerships and develops a solutions and enterprise go-to-market team across Southeast Asia.

Designs and evolves enterprise data architecture for global manufacturing and operations. Responsibilities include data modeling, integration standards, information governance, metadata, lineage, MDM, cloud data platforms, API and event-driven architectures, and AI-ready data products. The role collaborates with enterprise architects, engineers, data scientists, governance teams, and operational stakeholders to enable analytics, digital twins, smart manufacturing, reporting, and intelligent decision support.

Develop machine learning, statistical, optimization, computer vision, Generative AI, and advanced analytics solutions for smart manufacturing. Analyze operational data, deploy production-ready AI models, monitor performance, and collaborate with manufacturing, engineering, supply chain, quality, IT, and software teams to improve quality, productivity, reliability, and decision-making across global operations.

Supports Sanofi Internal Audit through requirements gathering, data extraction, transformation, modeling, visualization, dashboard development, and analysis industrialization. The intern collaborates with audit teams, explores AI and GenAI applications, and contributes to reusable analytical assets using data from finance, commercial, human resources, and other business areas.

Supports manufacturing master data governance across MES, MEP, and ERP systems. Responsibilities include mapping data landscapes, documenting processes and requirements, monitoring data quality, investigating discrepancies, producing data-flow reports, translating requirements into user stories, and validating solutions. The role collaborates with manufacturing, supply chain, procurement, logistics, and IT teams on transformation projects, process improvements, and training.

Lead DayOne’s global brand strategy, identity, creative direction, event experiences, sponsorships, digital brand governance, and thought-le leadership exposure. The role ensures consistent brand execution across markets, manages agencies and creative partners, guides cross-functional teams, oversees brand quality, and tracks visibility, recognition, engagement, and activation performance.

Supports clinical data management studies by coordinating study documentation, data transfers, quality checks, client communications, issue resolution, and data lock activities. Serves as a liaison among clinical data management, project management, medical affairs, specimen management, clients, and other departments. Maintains auditable records, reviews data files and error reports, supports study modifications, ensures timely transfer completion, and participates in training and process improvements.

Leads North American indirect tax requirements and global tax data governance for an SAP S/4HANA transformation. Oversees U.S. and Canadian tax processes, tax determination, reporting, reconciliations, data standards, tax technology integrations, testing, deployment, audit readiness, and compliance. Partners across Tax, Finance, IT, Master Data, Analytics, Procurement, Supply Chain, and Shared Services to improve tax data quality and establish scalable global operating models.

Designs Qlik Sense dashboards, reports, data models, and visualization solutions while building AWS-based data pipelines with Glue, S3, Redshift, and Athena. Partners with stakeholders to translate business needs into BI solutions, implements governance and access controls, manages the Qlik Sense environment, optimizes performance, supports UAT and adoption, and mentors team members. Requires strong SQL, dimensional modeling, data visualization, and BI security experience.

Curates and evaluates image and video sources for video generation and multimodal AI model development. The role translates research priorities into sourcing criteria, assesses visual quality and relevance, maintains source catalogues and metadata, identifies dataset gaps, documents provenance and licensing, and develops repeatable curation workflows. Strong visual judgment, research ability, organization, communication, and familiarity with visual media are required; machine learning experience is not necessary.

Leads data and AI governance strategy across Group Marketing and Communications. Establishes data ownership, quality standards, metadata, lineage, risk controls, responsible AI practices, and regulatory readiness. Oversees marketing data governance initiatives, resolves systemic data issues, manages governance tooling, and partners with senior Marketing, Technology, Compliance, and Data stakeholders to drive enterprise-wide change and trusted data use.

Transform and operationalize enterprise data governance through workflow automation and AI agents. Manage data quality, critical reports, critical data elements, metadata, issue management, and governance reporting. Develop and oversee automated workflows with human controls, partner with stakeholders across business and risk functions, and establish an enterprise ontology linking business concepts, data, processes, systems, and controls. Drive adoption of scalable governance practices and enable future AI use cases.

Manage and maintain material master data in SAP, Syndigo, and related systems across the product lifecycle. Process new material creation, changes, pricing, vendor updates, phase-outs, purchasing records, and intercompany data. Coordinate product catalogue publication, data quality reporting, dashboards, customer data integrations, ticket resolution, governance, SOPs, and process improvements across ANZ stakeholders.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Analyze and visualize data, build complex SQL queries and data pipelines, and operationalize analytics workflows using Python, R, and BI tools. Develop end-to-end data-centric solutions aligned with customer objectives, strengthen problem-solving capabilities, and grow into a subject matter expert. Experience with cloud services, database development, statistical modeling, predictive analytics, machine learning, and analytics platform certifications is advantageous.

Supports the development of database solutions and data pipelines for South Asian markets. Responsibilities include processing, standardizing, cleansing, validating, and transforming bordereaux data; identifying data issues; streamlining data flows to accounting and analysis platforms; and supporting data initiatives through cross-functional collaboration.

Supports the Global Consumer Sales Tracking team by managing customer data collection, performing data quality checks, generating business insights, and helping commercial teams use data and analytical tools. The role also provides training and requires strong collaboration, communication, organization, attention to detail, and proficiency with Excel, SQL, and/or Python.

Designs, engineers, secures, and operates enterprise-scale data, analytics, AI, and agentic platforms on GCP. Leads cloud architecture, infrastructure automation, IAM and governance, Kubernetes operations, CI/CD, DevSecOps, production troubleshooting, and reliability improvements. Acts as an escalation point for complex issues, establishes engineering standards, leads design reviews, mentors engineers, and evaluates emerging cloud and AI technologies.

Drive enterprise and commercial B2B sales for Salesforce Agentforce and Data 360. Identify, qualify, and develop opportunities; conduct technical discovery; present scalable AI and data solutions; create compelling points of view; and align Salesforce capabilities with customer objectives. Collaborate with account teams and cross-functional partners throughout the sales cycle while translating complex AI, cloud data, and platform concepts into measurable business value and exceeding sales targets.

Owns regional MCC data infrastructure, dashboards, reporting standards, data governance, and client database quality across SEAO markets. Translates client and marketing data into actionable insights for engagement, retention, loyalty, planning, and investment decisions. Coordinates with headquarters and market teams, supports tool enhancements and testing, ensures privacy compliance, trains data users, and builds a collaborative data-driven community.

Leads architecture, security, operations, cost management, and governance for an enterprise GenAI and data platform on Google Cloud. Designs LLM agents, RAG solutions, secure tool-enabled workflows, private networking, IAM, observability, and capacity models. Oversees distributed data pipelines, cloud migration, performance optimization, risk approvals, and engineering standards while mentoring teams and engaging security, vendors, and business stakeholders.

Lead architecture, reliability, scalability, modernization, and operational excellence for enterprise data and visualization platforms. Responsibilities include building Big Data infrastructure, managing Trino, Superset, Tableau, and related tools, migrating legacy applications to cloud-native environments, improving CI/CD, implementing observability with ELK, Prometheus, and Grafana, optimizing capacity and costs, overseeing production support, and mentoring SRE and DevOps teams in a regulated banking environment.

Build and scale a financial data platform for investment teams. Responsibilities include evaluating structured and unstructured datasets, developing reliable ETL workflows, improving data infrastructure, and creating reusable tools for data analysis and quality checks. The role works closely with portfolio managers and quantitative researchers and takes projects from requirements through delivery.

Design, build, optimize, and maintain scalable data pipelines for mission-critical national security analytics systems. Responsibilities include processing large datasets, ensuring data quality and governance, implementing testing and monitoring, troubleshooting complex pipeline issues, and experimenting with agentic AI systems and LLM workflows. The role also involves collaborating with product and engineering stakeholders to deliver reliable data products.

Leads design and development of scalable cloud-based data and analysis platforms. Responsibilities include architecture, implementation, testing, deployment, troubleshooting, documentation, unit testing, and Agile/Scrum collaboration. The role requires full-stack development expertise, strong Java skills, frontend framework experience, distributed databases, REST services, and cross-functional communication. Kubernetes, cloud infrastructure, and CI/CD experience are preferred.