Top Data Jobs in Singapore

Build AI and agent-based solutions, ML models, full-stack React and Python applications, and production-grade AI platform services. Develop MLOps and CI/CD pipelines across GCP and on-premises Kubernetes, deploy model-serving infrastructure, implement observability and security controls, and create reliable agent guardrails, evaluations, and audit trails. Collaborate with enterprise SMEs, contribute to architecture standards, communicate technical recommendations, and own solutions from design through support.

Supports electrical design delivery for data center and mission-critical projects across the APAC region. Responsibilities include defining project objectives, schedules, resources, and deliverables; applying engineering judgment; managing technical risk; mentoring teams; supporting client relationships; and contributing to bids, proposals, thought leadership, and coordinated electrical services delivery.

Leads the global Reference Data Management function supporting Global Markets, Custody, Treasury, and related banking businesses. Oversees reference and static data governance, quality, controls, operational risk, service delivery, and regulatory compliance. Manages teams, stakeholder relationships, incidents, audits, transformation programs, automation, system enhancements, and process optimization across client, counterparty, securities, settlement, and market data domains.

Lead enterprise-wide data governance frameworks, ownership models, risk controls, and lifecycle standards. Expand governance for AI, real-time, and unstructured data; partner with risk and technology leaders; develop playbooks, tools, and reporting; scale governance through automation; and lead a team of specialists while driving stakeholder alignment and continuous improvement.

Provides research and data-analysis support to economists focused on monetary economics and financial markets in Asia and the Pacific. Responsibilities include preparing publications and presentations, collecting and validating data, reviewing methodologies, developing databases, identifying new data sources, applying advanced analytics, and collaborating on innovation projects. The role bridges economics, data, and technology in a multicultural international environment.

Provides operational, administrative, and technical support to a data centre project management team. Responsibilities include administering the Common Data Environment, maintaining project registers, tracking RFIs and submittals, recording meeting minutes, supporting site inspections, documenting safety and punch-list items, and organizing closeout and handover materials such as O&M manuals, warranties, and as-built drawings.

Manages assigned construction scopes for data center projects, including fit-outs, utility areas, RFIs, submittals, site inspections, progress meetings, scheduling, reporting, and regulatory compliance. Coordinates designers, contractors, and trade teams to resolve technical issues, maintain project documentation, track KPIs, and ensure work meets approved drawings, specifications, and local standards.

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.