Top Data Jobs in Singapore

Support data management and governance by managing data assets, ensuring data quality, standards, and policies; publish and protect data for analytics; contribute to analytic platforms and reporting solutions; work on moderately complex projects with general guidance.

Lead needs assessments and stakeholder engagement to design a centralized conservation data system. Advise on technical platform options, collaborate with IT, produce reports and presentations, and drive adoption across portfolios. May lead project teams and support adaptive management through data strategy and implementation.

Lead and execute statistical and geospatial analyses to quantify and map climate mitigation potential from forests and peatlands. Design analytical workflows, manage projects and partners, create datasets, tools, reports, and deliver trainings and technical support for global conservation initiatives. Communicate results via publications, visualizations, and capacity-building activities; occasional fieldwork and international travel possible.

Lead data discovery, governance, and master data management for supply chain. Define processes, KPIs, and quality metrics; translate business needs into data requirements; resolve data issues; run workshops and collaborate across technical and business teams to improve data quality and implement solutions.

Lead partner-focused analytics for APAC: investigate conversion, churn, and payment-funnel issues; analyse large operational datasets; build dashboards and automated reports; perform root-cause analysis; collaborate with commercial teams and external partners; apply analytics engineering and emerging AI tools to improve partner outcomes.

Lead and build BNY's Singapore Applied AI team to identify, design, and deliver production-grade AI/ML and LLM solutions. Drive end-to-end delivery from problem framing, prototyping, evaluation, deployment, monitoring, and adoption while embedding responsible AI, governance, and cross-functional stakeholder alignment.

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.

Design, build, and maintain the Consumer Banking Singapore DataMart; extract, clean and analyze data; create dashboards and automated reports; support stakeholders with insights, decision support, and data-driven business cases; document data catalog and improve data processes.

Lead end-to-end delivery of enterprise data and analytics solutions for retail banking, spanning requirements analysis, solution design, testing, implementation, governance, and production support for ML/NLP-enabled and rule-based decisioning systems.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Design, build, and maintain scalable data pipelines and ETL processes. Ensure data quality, lead data migrations and processing, advise on data architecture, optimize pipelines, shape best practices, collaborate across teams, and lead stakeholder communications to solve complex data challenges.

The Software Engineer for Data Infrastructure & Acquisition at Speechify will enhance data collection, manage infrastructures, and work with AI scientists to develop large-scale datasets.

Translate business problems into data solutions: collect/explore data, build and evaluate statistical and AI models, deploy models as code (microservices), develop AI agents and RAG solutions using vector/graph databases, apply 3D/CAD and mesh algorithms, and support data governance, migration, and policy to maintain model lifecycle and business value.

This role involves designing and maintaining data pipelines, managing APIs, collaborating with teams, and ensuring data quality and governance.

Lead HUD's data quality strategy for RL training data: build QC systems, validate synthetic data at scale, design evaluation experiments, partner with researchers and vendors, convert research insights into production validation pipelines and tools, and mentor research engineers.

The Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

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.

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.

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.

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.

Deliver full lifecycle cost management for Civil, Structural & Architectural packages on a large data centre. Prepare cost estimates, cost plans and tender documentation; manage procurement, change control, contractor payments and forecasts. Provide commercial input during design, identify value engineering, report cost performance, support final accounts and coordinate stakeholders to ensure cost certainty and governance.

Lead and manage CSA-related data centre projects from design through construction and commissioning. Establish governance, produce detailed project plans, control change, monitor budgets and schedules, coordinate consultants and contractors, ensure compliance with standards and codes, prepare reports, and maintain client relationships while improving project management processes and quality.

Support cost management for data centre projects including cost estimates, quantity take‑offs, tender support, contract administration, cost tracking, monthly reporting, progress valuations, and coordination with contractors and consultants under senior oversight.

Manage contract administration, commercial claims, procurement, and risk for large data centre and mission-critical construction projects. Administer FIDIC/NEC contracts, assess variations and EOTs, support procurement of MEP and specialist packages, and liaise with project stakeholders to mitigate commercial risk and resolve disputes.

Lead full-lifecycle cost management for hyperscale data centre projects: develop budgets and forecasts, deliver pre- and post-contract cost control, lead procurement and tendering for CSA/MEP/specialist systems, advise on value engineering, manage variations/claims, mentor cost team, and ensure governance, risk mitigation and alignment between technical design and cost efficiency.