Top Data Jobs in Singapore

As a Consultant, you'll develop data strategies and optimize data operations for clients in Financial Services or Insurance, overseeing projects and ensuring effective communication with stakeholders.

The role involves developing technology policies, conducting research, coordinating AI efforts, and engaging with stakeholders to strengthen Singapore's digital economy.

The role involves researching technology policies, analyzing trends, developing strategies for emerging technologies, and coordinating efforts within IMDA for effective policy implementation and stakeholder engagement.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

The Director of Platform Success is responsible for accelerating platform adoption and business transformation across APAC, ensuring alignment with global strategies while delivering measurable outcomes for regional growth.

As an Enterprise Architect, you will guide major clients in digital transformation and technology roadmap alignment using Salesforce solutions, building relationships and delivering enterprise-level insights.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

Own and maintain the analytics stack: implement tracking from user interaction to Mixpanel/GA4/AppsFlyer via Segment, manage infrastructure with Terraform, audit pipelines and schemas, translate business needs into tracking, and configure troubleshooting for mobile/web attribution, deep-linking, and postbacks.

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

Assist in developing backend services and APIs for WeChat, build large-scale data pipelines, and contribute to data streaming infrastructure while collaborating with teams.

Lead development and implementation of AI governance frameworks, create playbooks and training, validate standards across business units, industrialise governance tooling, run bank-wide governance processes, and advise stakeholders on responsible AI practices.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

Lead execution of the department strategic plan, drive cross-team collaboration, implement business strategies, create KPIs and dashboards, manage budgeting and forecasting, oversee contract governance and business continuity, and manage employee experience and day-to-day operations for the Transformation & Data, Group COO unit.

Lead development and maintenance of a bank-wide Data and AI risk management framework. Assess new initiatives, conduct risk reviews, embed controls across data and AI lifecycles, monitor data quality and KRIs, advise business units, align with regulations and industry best practices, and report risks and mitigation strategies to senior management.

Maintain and update static trade data (customer profiles, pricing, commissions, trade conditions, system parameters); ensure compliance with policies; support SOP updates, risk and control activities, audits, regional system enhancements, UAT/regression testing and monthly SLA performance reporting.

Lead development and implementation of enterprise data management standards, frameworks, and tooling. Create playbooks and training, validate unit implementations, drive bank-wide governance processes, engage stakeholders to embed data risk management, and industrialise metadata, lineage, data quality, and accountability across business and technology teams.

Lead operational execution of data quality and governance for risk data. Manage data issue lifecycle, perform profiling and root-cause analysis, implement rules and monitoring, support data stewardship, drive BCBS239 attestation, collaborate with tech and risk units, and optimize tools and processes to ensure data fitness and regulatory compliance.

Lead design and rollout of AI governance for Group Operations, ensuring AI/ML (including GenAI and third-party models) comply with enterprise RDU/PURE policies and regulations. Oversee use-case reviews, centralized prompt management, data enablement, infrastructure standardization, committee reporting, stakeholder engagement, and practitioner training.

Lead strategy and execution of technology audits focused on data, AI, and applications. Develop audit roadmaps, assess AI/model and data risks, design advanced audit tests using analytics, ensure regulatory compliance, build governance frameworks, and lead and mentor the audit team while engaging senior stakeholders and regulators.

Maintain and control client and account static data for wealth management: process account lifecycle events, ensure data quality and compliance, investigate exceptions, manage stakeholder communications, and support process improvements and system changes.

Develop and implement predictive and ML/LLM-based analytics and automation for trading desks. Perform data ingestion, cleansing, exploratory analysis, dashboards, and simulations. Collaborate with traders, deliver insights, and lead junior data scientists to productionize AI-driven trading and reporting solutions.

Lead architecture and delivery of post-trade data systems, designing near-real-time and historical data pipelines. Drive technical roadmap, mentor engineers, implement robust testing and monitoring, resolve incidents, and integrate analytics technologies to support trading product features and operational stability.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Sell complex collaboration and smart workplace solutions by pursuing qualified leads, building pipeline, presenting solutions with pre-sales architects, leading workshops, developing account and opportunity plans, maintaining vendor relationships, and closing deals to meet sales targets.