Top Data Jobs in Singapore

Lead technical delivery of client projects by designing, implementing, scaling, and maintaining high-performance kdb+ architectures for billions of time-series data rows. Collaborate with quants, traders, and analysts, mentor developers, own the full development lifecycle, and drive innovation in kdb+, q, and related technologies. The role requires strong Unix/Linux skills, capital markets experience, technical leadership, and expertise in production kdb+ systems.

Develop and apply data analysis, financial reporting, dashboards, automation, and client portal solutions for legal project management in Asia. The role handles complex financial and operational data, creates Excel and Power BI reporting, supports legal service delivery, and provides data-led insights to lawyers, finance teams, technology teams, and senior LPM stakeholders. It also contributes to AI, legal technology, workflow automation, and client-facing collaboration platforms.

Build and maintain Tableau dashboards, write Databricks SQL, troubleshoot and automate data pipelines, and develop analytical models for growth, marketing, acquisition, campaign ROI, and customer lifecycle decisions. Partner with growth, product, engineering, vendors, and leadership to deliver reliable data-driven insights and solutions. Apply statistical techniques and emerging AI tools to identify trends and optimize marketing strategies.

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.

Manages construction cost databases, benchmarking data, cost indices, market analytics, forecasts, dashboards, and reporting tools. Analyzes labor, material pricing, inflation, and project cost data to identify trends, risks, and opportunities. The role supports data governance, reporting automation, platform improvement, and data-driven decisions by collaborating with cost managers, quantity surveyors, economists, and project teams.

Lead the bank’s enterprise Data and AI architecture strategy, defining target-state blueprints, roadmaps, standards, and governance. Guide cross-domain solution designs spanning data platforms, streaming, analytics, MLOps, machine learning, and generative AI. Embed privacy, security, regulatory, model-risk, lineage, and data-quality controls. Act as design authority, measure value realization, influence senior stakeholders, and coach architects and engineers across the organization.

Lead the development of AI and ML solutions for underwriting, manage a team of data scientists, and ensure compliance and governance in initiatives.

Lead analytics and data design for regulatory reporting and financial crime compliance. Build data models, validation frameworks, automated testing, QA playbooks, and self-service analytics in partnership with Compliance, Finance, DataOps, and Engineering. Investigate anomalies and audit findings, identify root causes, shape risk analytics platforms, and promote analytical rigor and documentation across global teams.

Lead analytical design for regulatory reporting and risk-compliance data infrastructure. Define data logic, models, validation frameworks, automated testing, and QA processes; investigate anomalies and audit findings; partner with compliance, finance, data, and engineering teams; shape scalable reporting platforms; and mentor analysts and data scientists.

Leads discovery and analysis for complex, cross-system technology initiatives. Translates business needs into requirements, process models, user stories, acceptance criteria, and solution designs. Coordinates stakeholders, backlog activities, testing, defect resolution, deployment readiness, transition, and post-production stabilization. Collaborates with product, architecture, engineering, business, and vendor teams while mentoring analysts and supporting knowledge transfer.

Leads manufacturing master data technology delivery across MES, MEP, and ERP environments. Manages cross-functional squads, roadmaps, dependencies, data discovery, governance, quality metrics, and root-cause resolution for manufacturing data issues. Partners with plant operations, supply chain, and technology teams to define requirements, improve workflows, and deliver measurable operational and financial value.

Build and maintain production machine learning models and AI products for player personalization, recommendation, segmentation, propensity scoring, and next-best-action decisioning. Collaborate with engineers, analysts, and product stakeholders to deliver measurable outcomes, support AI agent workflows, and expand player engagement capabilities across Ubisoft games.

Develop data sources and automated collection processes, process structured and unstructured data, identify trends, build predictive and machine learning models, visualize findings, and recommend business solutions. The role also involves evaluating statistical and AI models, facilitating data design workshops, and collaborating with stakeholders, particularly in banking and insurance.

Designs, develops, and maintains scalable data pipelines, models, schemas, and data infrastructure. Ensures data quality, governance, security, privacy, and regulatory compliance while supporting data warehouses, lakes, analytics, and business operations. Collaborates with architects, data scientists, and stakeholders; monitors and optimizes pipeline performance; evaluates data technologies; participates in technical reviews; and documents engineering processes and solutions.

Analyze social media performance, audience behavior, sentiment, trends, competitors, and campaign data for a tourism and leisure brand. Manage analytics tools, maintain real-time dashboards, identify optimization opportunities, and translate complex findings into clear reports and recommendations for creative and strategic teams.

Support EDB Finance by improving and automating incentive administration workflows. Co-design systems and dashboards, review company claims for compliance, perform on-site assessments, prepare reports to senior management, identify policy gaps, and promote incentive governance and risk management.

Supports user research and the design of digital and AI products by gathering user insights, creating journeys, wireframes and prototypes, conducting usability testing, and preparing design documentation. Collaborates with business and technology teams on product requirements and implementation. The role also contributes research to product decisions and requires familiarity with Figma, strong analytical and communication skills, and an interest in digital products, AI, and real estate.

Analyzes manufacturing, process, quality, downtime, labor, material-flow, and cost data to identify improvement opportunities. Develops dashboards, analytical models, metrics, and decision-support tools; validates data and supports deployment, adoption, and scaling across manufacturing sites. Partners with engineers, data specialists, and operational leaders to translate problems into actionable insights, facilitate continuous improvement, and support predictive and prescriptive analytics initiatives.

Analyzes manufacturing, process, quality, downtime, labor, material-flow, and cost data to identify performance losses and improvement opportunities. Builds dashboards and reports, validates data, performs statistical and root-cause analysis, supports predictive analytics, and communicates findings to operational and technical stakeholders. The role also supports testing, deployment, user adoption, documentation, and continuous improvement of analytics solutions across manufacturing value streams.

Designs and maintains scalable batch and real-time data pipelines, data warehouses, lakes, marts, and APIs. Extracts, cleans, transforms, and integrates data using cloud platforms and big-data frameworks. Develops reliable ETL/ELT solutions, supports backend applications, applies data governance and security practices, and collaborates with architects, analysts, developers, designers, and project managers in an Agile environment.

Develop and deploy predictive models, analyze large datasets, and generate insights for business decisions. Collaborate with stakeholders to create data-driven solutions, design visualizations, and communicate findings. Architect, scale, and maintain reusable AI services and generative AI applications while staying current with data science, machine learning, and generative AI developments.

Implements, configures, integrates, upgrades, and supports cybersecurity platforms in customer environments. Troubleshoots security incidents and technical issues, supports monitoring, vulnerability management, access controls, and compliance initiatives, and escalates complex problems. The role also requires documentation, knowledge transfer, customer collaboration, project administration, status reporting, and stakeholder communication. Candidates should have approximately three to six years of relevant cybersecurity experience and be able to independently manage routine implementations while mentoring junior engineers.

Lead the development and deployment of AI and generative AI solutions for banking use cases. Responsibilities include researching advanced techniques, building LLM applications, integrating AI capabilities into enterprise systems, conducting validation and benchmarking, establishing guardrails, and advising stakeholders. The role collaborates with data, engineering, technology, and business teams while managing strategic project objectives and communicating analytical findings.

Designs and maintains scalable Microsoft Fabric and OneLake data lakehouse solutions. Builds ingestion and transformation pipelines, integrates structured and semi-structured data, implements medallion architecture, and develops SQL, Python, PySpark, and Spark SQL transformations. Responsibilities include data quality, security, monitoring, performance optimization, documentation, testing, CI/CD deployment, and preparing curated datasets for Power BI and analytics. Collaborates with architects, analysts, and reporting teams to deliver technical data solutions.

Design, deploy, configure, scale, and maintain regional data and colocation centres across Asia. Responsibilities include equipment deployment planning, procurement and inventory coordination, Linux server installation in PXE environments, network and server hardware installation, cabling, troubleshooting, vendor coordination, documentation, safety, security, and operational standards. The role is based in Singapore and supports remote locations, with occasional travel and some evening or weekend work.