Top Data Jobs in Singapore

Analyze global logistics, spend, invoice, and operational data to identify cost drivers, trends, anomalies, and optimization opportunities. Develop and maintain Tableau dashboards, automate reporting, support cost-to-serve models, and contribute to process mining and business intelligence initiatives using tools such as Celonis, Databricks, SAP, and Tableau. Collaborate with logistics teams worldwide, translate business requirements into analytics solutions, and present actionable findings to stakeholders.

Supports corporate compliance across international data center operations by developing and maintaining policies, screening high-risk vendors and customers, conducting risk assessments, monitoring regulatory changes, delivering compliance training, and investigating breaches and whistleblower reports. The role also manages corrective actions, audit trails, compliance dashboards, and implementation of data privacy and governance requirements across multiple jurisdictions.

Leads the bank’s AI and data assurance strategy, overseeing model validation, AI risk mitigation, data quality, privacy, governance, controls, monitoring, regulatory reporting, stakeholder training, and team leadership. Ensures AI and data initiatives are ethical, compliant, secure, reliable, and aligned with financial-services regulations and internal policies.

Manage large datasets across research and trading platforms by designing data stores and APIs, monitoring data-process health and performance, delivering production-ready datasets, and supporting researchers and traders. The role involves Python-based data engineering in a low-latency environment, collaboration with technical and investment professionals, and developing expertise in high-performance real-time trading systems.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Design and govern enterprise network solutions for large Singapore accounts. Lead presales activities (proposals, RFPs, POCs), produce technical specifications, guide sales, and transition solutions to delivery while providing hands-on technical leadership.

Supports distribution and logistics analytics by maintaining material master data, assisting with month-end accruals, cleansing freight-spend data, and enhancing Excel reports with Python. Builds dashboards comparing volume, budgets, forecasts, and actuals, publishes reports in Power BI, investigates outliers, coordinates with internal and external providers, and updates user documentation.

Lead behavioral science adoption across the bank, diagnose customer and business behavioral barriers, design behaviorally informed interventions, and oversee statistical and quasi-experimental analysis. The role partners with executive stakeholders, develops experiment narratives, manages cross-business-unit testing, drives customer experience impact, and delivers behavioral science training.

Design, build, secure, and operate highly available data centre networks, including leaf-spine fabrics, routing, switching, firewalls, load balancers, segmentation, and inter-data-centre connectivity. Troubleshoot mission-critical network issues, improve reliability, and manage capacity and performance. Develop Network-as-Code automation for provisioning, validation, testing, compliance, and drift detection. Apply telemetry, AI, and AIOps techniques while collaborating with cloud, compute, storage, cybersecurity, and application teams.

Design and operate enterprise AI platforms for a banking group, including multi-agent frameworks, LLM inference infrastructure, MLOps pipelines, and hybrid AWS/on-premises deployments. Build production AI services, optimize GPU utilization and inference latency, manage model lifecycles, establish CI/CD and observability, and provide daily platform operations. The role requires strong Python, cloud, AI framework, inference-stack, Kubernetes, infrastructure-as-code, and DevOps expertise, with AVP and VP experience levels ranging from 4+ to 8+ years.

Own pricing and retail analytics initiatives, including decision systems, reports, metrics, statistical analysis, and business insights. Lead end-to-end projects, translate complex data for stakeholders, influence product and strategy decisions, and collaborate with Pricing, Retail Commerce, 3P Commerce, Promotions, developers, and analysts. Ensure data quality, improve reporting systems, solve ambiguous problems, and provide strategic guidance in a fast-paced e-commerce environment.

Supports investor relations, capital-raising strategies, equity and debt financing, market and peer analysis, board reporting, and communications with investors, analysts, banks, advisors, and executives. The role prepares earnings materials and presentations, evaluates financing opportunities, monitors covenants and credit ratings, and helps optimize the company’s capital structure and access to capital.

Develop and maintain advanced inventory and supply planning models, inventory optimization targets, scenario analyses, dashboards, and KPIs. Use Python, SQL, BI tools, predictive modeling, and machine learning to support supply planning, S&OE/S&OP, demand-supply coverage, capacity constraints, and inventory health. Partner with planning teams to improve data quality, automation, governance, model reliability, and executive decision-making.

Own commercial strategy and operations for enterprise pharma and AI accounts: drive pilots-to-revenue, account expansion, pipeline management, pricing, forecasting, and deal strategy. Build cross-functional relationships, push deals through legal/procurement/IT, act as CEO counterpart to shape strategy and product roadmap, and be highly present in person with customers and at conferences.

Design, build, and scale data infrastructure for LLM training, fine-tuning, evaluation, and RAG. Implement and maintain data architectures, pipelines (batch and streaming), org-level IAM and governance, cost/performance optimizations, analytics/dashboarding, AI-assisted ops and internal automation tools, and support multi-cloud production workloads.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Design, develop, and deploy production-ready AI applications and scalable DataOps/MLOps pipelines for avionics manufacturing. Build LLM/RAG/agent-based solutions, integrate enterprise and manufacturing systems, implement CI/CD and containerized deployments, ensure security/compliance, and collaborate with stakeholders to deliver measurable operational improvements.

Develop, train, fine-tune, evaluate, and deploy AI/ML models and LLM-powered data products. Build end-to-end model pipelines, feature engineering, monitoring, and production deployment. Apply generative AI for summarization, classification, knowledge extraction and semantic search. Collaborate with product, engineering, and business teams and integrate third-party tools and open-source models.

Leads regional Payment Operations transformation, service excellence, and AI-enabled digital initiatives. Drives predictive analytics, automation, workflow digitization, and scalable technology solutions using Python, SQL, Power BI, Power Automate, APIs, and Generative AI. Oversees projects from business case through implementation, benefits realization, governance, operational readiness, and regional rollout. Partners across Operations, Technology, Product, Risk, Compliance, vendors, payment networks, and country teams to improve productivity, resilience, controls, quality, and client outcomes.

Leads commercial activities for global data center customer prospects, including strategic pricing, bid and RFP support, contract risk assessment, deal approvals, costing, renewals, churn analysis, sales forecasting, and pipeline analysis. Partners with Sales, Product, Legal, and other business units to improve profitability, digitize quotation processes, and implement commercial initiatives. Requires strong knowledge of ICT and data center markets.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Build and maintain dashboards tracking activation, retention, task success, and agent reliability; analyze agent run data to locate failures and stalls; design instrumentation and metrics; support experiment design and readouts; produce reproducible analyses and actionable recommendations for product and engineering.

Manage pre- and post-contract cost services for complex construction and mission-critical data centre projects. Prepare estimates, cost plans, tendering, procurement, change control, forecasts, and client reports. Provide commercial input to value engineering, cost optimisation for MEP-heavy packages, and support governance, risk management, and knowledge sharing.

Lead cost management for large-scale data centre MEP packages, driving cost control, commercial strategy, estimating, procurement support, contract management (NEC/FIDIC), reporting, and team leadership across design, construction and commissioning phases.

Support cost management for data centre projects including cost estimates, quantity take‑offs, tender support, contract administration, cost tracking, reporting, and stakeholder coordination under senior guidance.