Top Data Jobs in Singapore

Lead commercialization and regional sales for Mastercard Advanced Analytics to financial institutions across Asia Pacific. Own sales strategy, build multimillion-dollar pipelines, manage complex enterprise deals, engage C-suite stakeholders, and collaborate with product, consulting, and account teams to close and expand strategic contracts.

As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.

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.

Manage privacy operations including data subject rights (DSR) intake and responses, PIAs/DPIAs, RoPA/data inventories, vendor privacy reviews, privacy tooling, metrics, and incident support to maintain global privacy program compliance.

Lead the development of AI/ML solutions for production planning and agentic systems, mentor junior data scientists, and optimize performance and efficiency of systems.

The role involves ensuring end-to-end performance and power readiness of Data Center SSD programs through technical execution, analysis, and leadership across teams.

Coordinate product-line efforts and portfolio metrics to drive operational improvements. Develop change initiatives and timelines, maintain FITS inventory, troubleshoot entitlement issues, handle client tickets per SLA, perform month-end activities, manage market-data system testing/validations (DACS, EMRS), liaise with vendors, and maintain controls and documentation.

Work with Preqin to source, validate, and onboard proprietary private markets data by building and maintaining relationships with Southeast and South Asia fund managers. Serve as primary contact for assigned institutions, support regional business development and client-facing initiatives, ensure data quality and coverage, and partner with global teams to close coverage gaps and improve data acquisition and client experience.

Work with trading, operations, and reporting teams to identify and prioritize data quality and operational issues. Build SQL/Python-based data solutions and dashboards, perform root-cause analyses, implement fixes, and support scaling and documentation while aligning to controls and stakeholder requirements.

Lead infrastructure engineering for Market Data Services, architecting and modernizing cloud and on-prem systems. Drive complex programs, validate AI-assisted recommendations, ensure resiliency, security, and compliance, collaborate with stakeholders, provide 3rd-level production support, and adopt automation and monitoring to reduce recurring issues.

Lead technical strategy for payments optimization to balance conversion, fraud risk, and cost. Design and implement advanced optimization algorithms, guide experimentation and causal inference, collaborate with product and engineering to deploy ML systems at scale, influence product strategy, and mentor junior data scientists.

Lead architecture of a governed, reusable data, knowledge, and skills platform on Databricks to power analytics, AI agents, and real-time decisioning. Design data, semantic, and skills layers, enforce Governance-as-Code, enable regional data residency, and build agent interfaces and APIs while partnering with Data Science, Product, and Risk teams.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform solutions, build scalable multi-region pipelines, enforce governance and security, mentor the team, advocate best practices, and influence technical roadmaps to enable AI/ML-driven business impact.

Design and build scalable batch and streaming ETL pipelines and data models, collaborate with stakeholders to translate data needs, ensure data quality and governance, and own end-to-end delivery for Knowledge Platform initiatives in Singapore.

Lead the Realtime Data Platform team to define a 1–3 year technical roadmap, modernize the core platform for petabyte-scale real-time analytics, partner with product teams to enable data-driven features, scale and structure engineering teams, and serve as a trusted technical advisor across Data and AI initiatives.

Build and deploy end-to-end machine learning solutions for payment and fraud risk: translate business needs into ML problems, perform data and feature engineering, train and deploy models, analyze issues, develop ML platforms/tools, and collaborate cross-functionally to deliver business impact.

Design and build scalable batch and streaming ETL pipelines and data models. Partner with engineers and business stakeholders to deliver reliable SSOT data, ensure data quality, governance, and support ML/AI use cases. Own end-to-end pipeline design, monitoring, and ongoing improvements.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform strategy, build scalable multi-region data pipelines, promote best practices, mentor engineers, and enable data-driven decision making and AI readiness across the organization.

Partner with Product and Engineering to analyze large datasets, run experiments, and apply statistical methods to measure product performance, identify growth opportunities, set goals and forecasts, and drive product strategy through data-driven recommendations.

As a Data Scientist, you will optimize semiconductor manufacturing processes through data analysis, develop predictive models, and automate data workflows.

As a Senior Data Scientist, you'll analyze large datasets using advanced mathematical and statistical methodologies to derive actionable insights and optimize semiconductor operations.

Lead the data-quality stream to deliver CDE metadata, governance and audit‑ready artefacts for BCBS239 compliance. Manage a multidisciplinary team, engage senior stakeholders, run governance and change initiatives, and build Power BI monitoring dashboards. Translate data governance and lineage concepts into implementable controls and ensure global adoption across business and functional areas.

Support investment teams by acquiring, cleaning, and analyzing diverse datasets to test investment theses. Learn fundamental investor approaches, identify key data drivers and inflection points, and present research findings. Work with existing and new data to generate insights and decision-support tools for sector-focused investment research.

As a Data Scientist at Micron, you'll develop AI-driven solutions in semiconductor manufacturing, build predictive models, and communicate analytical insights to stakeholders.

The Senior Data Scientist will develop predictive models, implement machine learning solutions, optimize production processes, and mentor junior staff to enhance data-driven decision-making in semiconductor manufacturing.