Top Data Jobs in Singapore

Leads data migration and analysis projects for KYC and CLM platforms. Gathers requirements, documents business rules and data mappings, analyzes data quality and lineage, defines cleansing and transformation rules, and validates migration results through SIT and reconciliation. Coordinates business, technical, QA, and project stakeholders; tracks defects, risks, remediation, and traceability. Supports project planning, client presentations, team leadership, and business development.

Lead technical strategy with channel partners across ASEAN to build repeatable Microsoft Cloud and AI Workforce offerings (Copilot, Power Platform, Agents). Drive architecture design, workshops, POCs, offer development, partner enablement, and co-sell execution to convert technical capability into scalable revenue and customer outcomes.

Develops Microsoft 365 and Power Platform solutions, dashboards, reports, workflows, integrations, and data visualizations for legal investigations and litigation. Supports internal investigations through open-source research, forensic data review, information analysis, and government inquiry support. Partners with Legal, Compliance, Audit, Information Security, and Technology teams while ensuring privacy, cybersecurity, governance, and stakeholder requirements are met.

Supports product managers with app roadmaps and UAT testing while analyzing user behavior and product performance. Collects and cleans data, builds dashboards and visualizations, conducts A/B testing, and delivers reports and actionable recommendations. Collaborates with customer support, user research, and UX teams to identify pain points and optimize app features and user experiences.

Design and deliver production-ready AI and data science solutions across CRM, retail, marketing and operations. Build ML models, GenAI/RAG pipelines, feature engineering and training workflows; collaborate with data engineering to deploy, monitor and optimize models; run experiments and measure business impact while ensuring responsible AI, security and governance.

Design and implement advanced smart manufacturing solutions in scheduling, mathematical optimization, and discrete event simulation. Build data analytics and applications to provide actionable insights, collaborate globally to deploy solutions across manufacturing sites, and integrate AI/OR hybrid methods to improve production performance and benchmarking.

Lead data science strategy for AML and financial crime risk controls. Develop AI-powered screening, entity resolution, graph and network intelligence, anomaly detection, transaction monitoring, and proactive discovery of emerging threats. Partner with Product, Engineering, Compliance, and Operations to deliver scalable production controls, influence the roadmap, establish reusable frameworks, and mentor data scientists.

Leads enterprise customer engagements delivering AI, machine learning, generative AI, NLP, RAG, and agentic AI solutions. Designs and deploys production systems across cloud platforms, establishes LLMOps practices, integrates solutions with client workflows, presents technical strategies, manages stakeholders, and mentors regional team members. Requires deep expertise in modern ML frameworks, large language models, data platforms, governance, and customer-facing technical delivery.

Leads DayOne’s global brand strategy, identity, creative direction, events, sponsorships, digital brand governance, and thought-leadership presence. The role ensures consistent brand execution across international markets, manages agencies and creative partners, oversees major brand assets and experiences, and tracks brand performance through defined KPIs. It requires strong cross-functional leadership and the ability to translate business strategy into differentiated brand expression for the digital infrastructure ecosystem.

Deliver data science consulting projects for marketing, customer, and product use cases in luxury, consumer goods, and retail. Responsibilities include data analysis, KPI design, experimentation, machine learning, generative AI, data engineering, visualization, stakeholder storytelling, and solution deployment. The role also supports transformation, training, thought leadership, R&D, and business development.

Lead data migration analysis projects involving data profiling, remediation, quality validation, test case execution, SIT and UAT support, and Power BI reporting. Coordinate project teams, validate data mappings and transformations, manage defects, document findings, and provide recommendations for KYC and CLM compliance. The role also includes project planning, stakeholder presentations, and support for business development initiatives.

Performs document retrieval, customer communication preparation, data entry, control checks, exception follow-up, record validation, reporting, and document routing. Maintains accurate filing, audit readiness, and compliance with procedures and service-level agreements. Coordinates with internal teams, law enforcement, legal firms, and vendors, while supporting user acceptance testing, template updates, and operational initiatives. Requires strong attention to detail, organization, communication, and the ability to manage high-volume routine tasks accurately.

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.

Leads APAC data strategy and Greater China AI strategy initiatives across media campaigns. Develops audience segments from first-party and external data, drives adoption of data and AI tools, delivers localized training, advises campaign teams, tracks governance and adoption, and pilots market-specific AI solutions. Coordinates regional and global stakeholders while translating complex technical capabilities into practical workflows, playbooks, reporting, and measurable campaign improvements across China, Taiwan, and broader APAC markets.

Leads functional business analysis for enterprise compliance technology initiatives covering KYC, AML, sanctions, anti-bribery, and fraud workflows. The role defines business and technical requirements, target processes, roadmaps, testing strategies, scope changes, governance, and deployment plans. It manages senior stakeholders, risks, funding alignment, and post-go-live knowledge transfer while leading and developing a team of functional business analysts.

Leads ticketing fees and data initiatives within a transit authority, including monitoring ticketing costs, managing provider contracts, analyzing transit data, supporting new payment modes, implementing service improvements, and preparing agreements and approval papers. The role also develops ticketing policies, monitors service levels and fees, and manages internal and external stakeholders while leading a team.

Support AI prototypes, AI/BI solutions, AI agents, GenAI workflows, dataset preparation, model evaluation, dashboards, and reporting. Assist with testing, issue investigation, documentation, deployment, monitoring, security, compliance, and governance. Collaborate with technical teams and business users while learning new AI and BI tools during a six-month internship.

Supports AI and data governance by managing model access, auditing permissions and compliance processes, documenting governance activities, monitoring models, developing awareness training, tracking regulatory trends, and preparing governance reports. Collaborates with IT and business teams to ensure AI and data models follow security protocols, data protection laws, and internal policies.

Assist with building, testing, and supporting data pipelines on the Enterprise Data Platform. Process and organize datasets for business use cases, perform data quality checks, maintain documentation, and support stakeholders. The intern will apply Python or Java and object-oriented programming while learning data engineering tools, cloud platforms, and big data technologies.

Designs and maintains Databricks-based ETL/ELT pipelines on AWS, develops optimized data models for analytics and BI, and supports production GenAI integrations. The role collaborates with data scientists, AI engineers, and business teams to operationalize models, manage data dependencies, implement monitoring and quality standards, and ensure secure, compliant data workflows.

Provides L3 managed services engineering for Microsoft 365 and cross-technology infrastructure. Responsibilities include resolving complex incidents, monitoring systems, meeting SLAs, troubleshooting, incident escalation, vendor coordination, operational improvements, automation support, disaster recovery, project delivery, knowledge-base creation, and mentoring L2 and junior engineers.

Gather and analyze business and risk requirements for Market Risk systems; create functional specifications, assess impacts, design test plans, conduct UAT and other testing, manage enhancement timelines, and provide BAU support for risk data sourcing, extraction, and analysis.

Drive revenue growth by selling complex power and cooling solutions to data centre customers in Singapore and Johor Bahru. Manage the full sales cycle from technical discovery and solution development through presentations, quotations, contract negotiations, and order closure. Build strategic customer relationships, develop key accounts, monitor market and competitor activity, maintain CRM records, and collaborate with internal teams while meeting safety and operational standards.

Partner with global teams to drive international expansion through experiments, data pipelines, dashboards, metrics, and actionable insights. Translate business goals into analytical frameworks, collaborate with product and engineering teams, and deliver reporting, recommendations, and self-service tools that improve stakeholder data literacy and support growth decisions.

Design and build scalable data infrastructure, backend services, data discovery and lineage systems, and fault-tolerant pipelines processing petabytes of data. Lead system design, code reviews, and technical contributions while developing cloud-based ETL solutions. Collaborate with machine learning and autonomy teams to improve data access, processing, and platform adoption.