Total 777 Information Technology job vacancies

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Qualifications

Job responsibilities

• Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production-grade data systems (models, pipelines, and services).
• Lead the design and coordination of analytics infrastructure powering product analytics across Payments.
• Build AI-native analytics workflows, embedding intelligence directly into data and decision systems.
• Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions.
• Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product teams.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
• 5 years of experience working with machine learning operations and data architecture design.

Preferred qualifications

• 5 years of experience designing enterprise-scale data platforms and analytics infrastructure.
• 5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications.
• 5 years of experience with using Gemini Command-line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
• Experience with Machine Learning for production workflows.
• Ability to operate across ambiguity and influence cross-functional technical decisions.

Responsibilities

• Explore new external data sources to understand availability and quality and make them easily accessible to different stakeholders for different use cases
• Develop solutions that enable investment professionals and data science teams to efficiently extract insights from data. This includes owning the ingestion and transformation
• Work with multiple stakeholders [internal end user, external technical consultants] to drive the development of firm’s enterprise data catalogue system
• Partner with the investment professionals, quantitative researchers, and data scientists to design, develop and deploy solutions that answer fundamental questions about companies, sectors, countries and financial markets
• Build tools and automation capabilities for data pipelines that improve the efficiency, quality and resiliency of our data platform
• Drive the evolution of our data strategy by challenging the status quo and identifying opportunities to enhance our platform

Requirements

• Minimum 7+ years experience in data engineering with a passion for data and software development
• Proficient in Data Warehousing, Machine Learning, and CI/CD workflows like Jenkins
• Skilled in managing multiple Docker deployments and deploying microservices for backend and ML model hosting
• Experience with cloud platforms: AWS, Azure Cloud, Kubernetes, and preferably Snowflake or similar data warehouse tech
• Programming proficiency in Python and SQL with knowledge of data caching and cloud data reuse strategies
• Background in quantitative hedge funds or technology companies preferred; strong communication skills required
• Bachelor’s or Master’s in Computer Science or equivalent experience
• Bonus skills include experience with Generative AI and rapid prototyping frameworks like Streamlit

Job Title: Data Engineer
Duration: 24 months
Location: 1 Marina Boulevard
Salary: 5000-6000
Eligibility: Only Singaporeans

As a Data Engineer, you will be a key member of the Data Management and Operations team, ensuring a robust data infrastructure, upholding data quality and data governance rules and efficient functioning of data pipelines. You will work closely with stakeholders across the division and vendors to ingest data and translate data needs into the relevant tables. The Data Engineer will also work closely with AI Engineers and Machine Learning Engineers to deploy data science models into production.

What you will be working on

You will be involved in a range of tasks including the following:

• Infrastructure Architecture & Cloud Management: Design and manage robust, scalable data infrastructure utilising AWS and other cloud platforms based on project requirements. Proactively explore and evaluate innovative data engineering tools to enhance infrastructure capabilities. Continuously recommend and implement improvements to data infrastructure based on emerging technologies.
• Data Pipeline Development & Implementation: Design and implement efficient data models and pipelines for ingestion, processing, and distribution of largescale datasets. Ensure high data quality and availability across all data processing workflows. Align data flows across various systems with consistent schema and governed access models. Collaborate with external vendors to enable secure data exchange through APIs, including the development of API Swagger specifications required for vendors to build and integrate their API endpoints.
• Data Quality & Standards Management: Lead comprehensive data quality initiatives establishing standards for accuracy and reliability across all systems. Diagnose and resolve data pipeline issues while contributing to incident response and post-mortem reviews. Maintain rigorous quality control processes throughout the data lifecycle.
• AI & Machine Learning Collaboration: Collaborate closely with AI engineers to provide optimised data solutions for machine learning projects. Emphasise seamless data flow and accessibility for AI model development and deployment. Ensure data infrastructure supports advanced analytics and machine learning requirements.
• Documentation & Knowledge Management: Develop and maintain comprehensive documentation on data architecture, procedures, and management practices. Ensure clarity and consistency of documentation across all teams and projects. Create accessible resources that support effective data management practices.
• Automation & Integration Solutions: Leverage innovative tools and architectures to automate common, repeatable, and error-prone data preparation tasks. Minimise manual processes whilst improving overall productivity and efficiency.

Implement automated data integration solutions that reduce operational overhead.

• Governance & Stakeholder Collaboration: Work closely with data governance teams to vet and promote high-quality content for governed reuse. Engage proactively with cross-functional teams and business stakeholders to refine requirements and co-design solutions. Support creation and maintenance of curated data catalogues for organisational use.
• Training & Continuous Improvement: Facilitate knowledge sharing and technical training sessions on data management best practices and tools. Enhance data competency across staff through structured learning programmes. Establish regular feedback loops with data consumers to refine and optimise pipelines for seamless production deployment

Requirements

• Proficiency in data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools) and building scalable data pipelines.
• Proficiency in Python and SQL; experience in AI/ML model development and deployment a plus.
• Experience in working with large and multiple datasets and data warehouses.
• Independent contributor with ability to collaborate and work effectively within the team.
• Strong analytical, conceptualization and problem-solving skills.
• Excellent written and verbal communication skills

Apply Now via MyCareersFuture
Only qualified candidates are contacted

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In Ref: SS – JO-28275-B
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

Job Description

As a Data Platform Engineer, you will operate large-scale big data platforms across hybrid (on-premises and cloud) environments, enabling reliable analytics and data-driven use cases. You will work closely with data engineers, data scientists, infrastructure, security, and business stakeholders to ensure data quality, platform stability, and operational excellence.This role focuses on building, running, and optimizing production-grade data platforms and pipelines, with strong ownership of infrastructure, automation, reliability, and operations. 

Key Responsibilities

• Design, implement, and manage scalable data platform infrastructure and pipelines across on-premises and cloud environments.
• Own the end-to-end platform lifecycle, including architecture design, deployment, operations, performance optimization, and reliability engineering.
• Maintain and support data platform clusters and nodes (compute, storage, networking), ensuring high availability and optimal performance.
• Provision, configure, and manage cloud-based data services such as AWS S3, Redshift etc.
• Monitor platform health, performance, and capacity; implement observability, alerting, and operational runbooks to ensure system reliability.
• Support and optimize ETL/ELT pipelines, ensuring reliable data ingestion, transformation, and delivery.
• Operate and maintain data storage platforms (on-premises and cloud), ensuring durability, scalability, and cost efficiency.
• Implement and enforce security best practices, including IAM, VPC configurations, encryption, backup strategies, and disaster recovery.
• Ensure compliance with data governance and regulatory requirements (e.g., PDPA) in collaboration with infrastructure and security teams.
• Collaborate with data engineers, data scientists, and cross-functional stakeholders to align platform capabilities with business and analytical needs.
• Develop and maintain technical documentation, including system architecture, data flows, configurations, and operational procedures.

Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 2–5+ years of experience in System Engineering, Infrastructure Engineering, DevOps, or Data Engineering.
• Strong hands-on experience managing Linux-based systems, including configuration, patching, performance tuning, and troubleshooting.
• Experience supporting on-premises or cloud infrastructure (e.g., AWS), including compute, storage, and networking components.
• Familiarity with operating distributed systems or data platforms (e.g., Hadoop, Spark, Airflow), focusing on deployment, monitoring, and troubleshooting rather than development.
• Solid understanding of networking fundamentals, including TCP/IP, DNS, routing, firewalls, load balancing, and VPC design.
• Knowledge of system and platform security practices, including IAM, access control, encryption, patch management, and basic compliance requirements.
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK, CloudWatch) for system health, alerting, and incident response.
• Strong troubleshooting and problem-solving skills in production environments, with the ability to diagnose issues across infrastructure, network, and platform layers, and collaborate effectively with cross-functional teams to ensure platform reliability and operations

Job Summary

We are seeking an experienced Technical Lead with expertise in Elastic Stack and observability platforms to lead enterprise monitoring and logging solution deployments, ensuring scalable, secure, and high-performance observability architectures.

Responsibilities

• Lead the design, deployment, and implementation of observability platforms using the Elastic Stack to enhance enterprise monitoring capabilities
• Architect and manage large-scale Elasticsearch deployments to support scalable log analytics and observability solutions
• Lead and mentor deployment engineers and platform specialists to ensure effective team performance and knowledge sharing
• Design scalable, secure solutions for log analytics, monitoring, and observability platforms aligned with enterprise needs
• Collaborate with infrastructure, DevOps, and application teams to integrate observability tools into enterprise systems for improved visibility
• Ensure platform performance, stability, scalability, and security through proactive monitoring and optimization
• Provide technical leadership and architecture guidance to enforce best practices in observability platform deployments
• Troubleshoot and resolve complex platform and performance issues to maintain continuous system availability and reliability

Required competencies and certifications

• Minimum 5 years of IT experience, including at least 3 years working with observability or monitoring platforms
• Minimum 2 years of experience leading technical teams or deployment engineers
• Strong hands-on experience with the Elastic Stack for observability and logging solutions
• Experience deploying or managing large-scale ELK (Elasticsearch, Logstash, Kibana) environments
• Familiarity with modern infrastructure environments such as Kubernetes, Docker, or cloud platforms
• Strong understanding of logging, monitoring, and observability architectures
• Possess relevant Elastic certification, such as Elastic Certified Engineer or Elastic Observability Engineer

Your Mission

This position is responsible for applying data-driven problem-solving, data science, and optimization techniques to resolve real-life manufacturing problems and deploy the ideated solutions in a production environment.

What To Expect

[Data Analysis & Insights Generation]

• Analyze large, complex datasets to identify trends, patterns, and derive key underlying drivers of performance and how to further optimize them
• Identify opportunities for automation, process optimization, and innovation using data-driven approaches

[Data Science Solutions]

• Design, build, and deploy machine learning models and algorithms to solve business challenges and improve operational efficiency
• Collaborate with other team members to integrate AI/ML solutions into use case applications
• Train engineers and technicians to leverage the insights for improving their day-to-day performance

[Data Visualization & Reporting]

• Create interactive dashboards, reports, and visualizations to communicate insights to non-technical stakeholders.
• Use tools like Power BI, or Python libraries to present findings effectively

[Collaboration & Stakeholder Engagement]

• Participate as a data scientist in multi-disciplinary project teams aiming to improve the performance of our production environment in specific areas such as logistics and supply chain, assembly, maintenance, and quality
• Act as a subject matter expert on data science, providing guidance and support to project teams
• Recommend and implement new tools, techniques, and methodologies to enhance project outcomes

What You'll Bring

• Bachelor's or Master's degree in Industrial Engineering, Computer Science, Statistics, Mathematics, or equivalent practical experience.
• 5 years of project execution experience as a data scientist, resolving industrial problems across the value chain, including manufacturing, and ensuring the adoption of data science solutions.
• Preferred experience in the manufacturing and/or automotive industry.
• Strongly preferred experience in implementing data science and/or AI projects in real-life industrial environments (large POCs or at-scale deployments).
• Critical end-to-end problem-solving skills, including rapid and rigorous issue analysis, idea development and implementation, and feasibility demonstration and deployment at scale.
• Experience with data visualization tools like Tableau, Power BI
• Experience in applying Regression/Classification/Clustering models, Large scale data analysis, Time series analysis, Forecasting models, or Kernel-based methods.
• Experience in algorithm development using Mathematical programming (Linear programming, Mixed-integer programming), (Meta)Heuristic algorithms, Stochastic Process, or Combinatorial Optimization.
• Expertise in processing large-scale datasets in distributed data frameworks (Hadoop, Spark, or Hive).
• Expertise in data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib.
• Expertise in applying machine learning, Generative AI, LLMs is a plus.

Role: Data Scientist (Machine Learning) – AI Fintech

Location: Singapore

We are partnering with a leading AI Fintech seeking a Data Scientist with expertise in banking models, fraud analytics, and machine learning. You will design predictive models, detect fraud patterns, and collaborate with Risk, Product, and Engineering teams to deliver data-driven solutions.

Responsibilities:

• Build and deploy machine learning models for credit risk, payments, and fraud detection.
• Analyze transactional data to identify fraud patterns and emerging risks.
• Perform feature engineering, model training, validation, and monitoring.
• Collaborate with cross-functional teams to implement models into production systems.
• Ensure all models meet regulatory and compliance standards.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
• 3+ years of experience in data science, ideally with a focus on banking or fraud analytics.
• Strong skills in Python, SQL, and machine learning tools; experience with GenAI and LLMs is a plus.
• Solid understanding of banking products, fraud schemes, and risk modeling techniques.
• Hands-on experience with supervised and unsupervised machine learning, applied statistics, and AI methods.

UEN: 202329526G

EA Licence: 23S2061

Do you enjoy making sense of data to improve real-time service delivery? Are you motivated by understanding how services work on the ground and helping teams deliver better outcomes for families? We are looking for someone who enjoys translating data to drive actionable improvements to strengthen performance and sustain quality delivery.  

Description of Division

You will be part of the Regional Team under the Service Management Division of KidSTART Singapore Limited (KSL). Your role will be to oversee the effective implementation of KidSTART in each region and/or across regions and the service management of KidSTART Agencies (KSAs) and funded healthcare partners. This also involves managing relationships with partners/stakeholders such as MSF Social Service Offices, Family Service Centres, Preschool Operators, Polyclinics, Hospitals etc, who are part of the KidSTART eco-system of delivery.

Key Responsibilities

1.       Service Management (KSL and Funded Partners)

a.       Assist and support the Regional Head to carry out regular contract management and programme monitoring of KSL teams, hospitals and KSAs to ensure compliance with Funding Agreement and drive achievement of programme deliverables.

b.       Assist the Regional Head to support the design, planning and implementation of operational initiatives.  This includes contributing to alignment with Service Standards Requirements and leveraging on dashboards and data analysis to monitor performance and inform decision making.

c.       Act as the primary liaison officer between KSL, hospitals and KSAs, leading efforts to review and strengthen collaboration. 

d.       Conduct data verification in accordance with funding agreement and service standards requirements.

e.       Monitor manpower recruitment and training of KSPs, hospitals and KSA staff to ensure capacity and capability in service delivery.

f.       Perform main liaison role between KSL, ComLink+ and KSAs to support the KidSTART-ComLink +integration.

g.       Supervise incident reporting, incident management, and investigation to ensure appropriate resolution.

h.       Provide support to KSAs in times of crisis to ensure continuity of service to KidSTART families.

1.      Operational Data Analysis

a.       Consolidate and analyse KPI and performance data across KSL and KSAs. This includes tracking trends, identifying performance gaps, and highlighting risks against service standards and programme requirements.

b.       Develop and coordinate action plans in response to KPI outcomes, audits or performance reviews through working closely with service delivery teams to track progress, follow up on deliverables, flag delays or emerging risks.

c.       Analyse service delivery data, including caseloads, workload distribution and service intensity to identify service gaps, operational bottlenecks and opportunities to improve processes, reporting and operational efficiency.

d.       Assess factors that affect service delivery and outcomes to better curate solutions to improve service delivery outcomes.

e.       Provide timely feedback to Service Management Teams, Ops Planning and Programme Development teams to support informed decision making.

f.       Work closely with other divisions to align data, insights and action plans.

Competencies

·      Strong administrative, facilitation &communication skills with a proven track record in programme management and building community partnerships

·       Able to facilitate and negotiate effectively with partners 

·       At least 2years of supervisory experience or experience in a leadership role

·      At least 3-4 years' experience in service management, performance analysis and programme monitoring

·      Familiarity with systems thinking, community development approaches and/or the early childhood landscape will be an advantage

·      Strong planning and problem-solving skills; exercises initiative and displays innovation in coming up with solutions

·      Adaptable and flexible in managing varied stakeholders and partners

·      Strong presentation skills, with the ability to communicate clearly and confidently to various stakeholders.

·      Able to work well in a fast-paced and dynamic environment

·      Confident, effective and collaborative team-player with strong interpersonal skills

·      Able to analyse KPIs and operational data, confident with data analytics and dashboards

·      Proficient in Excel, Power BI, and reporting tools, with experience using CRM systems and operational reports to support monitoring and decision‑making.

Location: Bangkok, Thailand (Open to relocate any talents to Bangkok)

Industry: Data Centers

Employment Type: Full-Time, Executive Level

About the Company

Our client is an international data‑center developer and operator experiencing rapid expansion across Asia Pacific. The organization is building a modern portfolio of multi‑megawatt data center facilities and is establishing Bangkok as a key regional operations hub.

The company supports a mix of enterprise, cloud, and hyperscale customers and is focused on delivering high‑availability, carrier‑neutral, high‑density environments. They are now seeking a senior operations leader to scale and standardize operations as new sites come online across the region.

Role Overview

The Vice President, Operations, APAC will oversee operational performance, engineering reliability, service delivery, and team leadership across a growing portfolio of data centers in the region. The role includes accountability for uptime, safety, vendor management, and operational readiness for new builds entering live service.

This position suits an experienced operator who has led mission‑critical environments, scaled multi‑site teams, and implemented consistent operating frameworks in fast‑growth organizations.

Responsibilities

• Lead day‑to‑day operations across multiple APAC data center sites, ensuring consistent standards and high availability.
• Own uptime, reliability, incident response, and continuous improvement of critical infrastructure and facility operations.
• Oversee operational readiness for new data center launches, including staffing, training, SOPs, and commissioning handover.
• Drive customer experience excellence and act as senior escalation point for operational matters.
• Manage vendors, maintenance partners, contracts, and regional OPEX budgets.
• Ensure strong governance across safety, security, compliance, and regulatory requirements.
• Build and develop multi‑country operations teams, driving capability, performance, and succession.
• Contribute to regional strategy, operational planning, and scalable processes across the APAC portfolio.

Requirements

• 15+ years of mission‑critical operations experience, with significant tenure in data center operations.
• Demonstrated leadership of multi‑site or regional operations teams.
• Deep technical knowledge of power, cooling, BMS/controls, and critical infrastructure environments.
• Strong background in incident response, risk management, SLA governance, and operational compliance.
• Experience managing commissioning and operational readiness for new data centers.
• Proven ability to work cross‑functionally in fast‑scaling, high‑growth organizations.
• Strong commercial acumen and budget ownership experience.
• Excellent communication skills; English fluency required. Thai language is advantageous.

Preferred Background

• Leadership experience in colocation, hyperscale cloud DC operations, telecom data centers, or mission‑critical engineering environments.
• Experience in Southeast Asia or broader APAC markets.

If you are interested, please apply with your latest English CV. Only shortlisted candidates will be contacted.

Contact: Keith Ng (Lic. No R2093574 / EA No. 16S8194)

The Opportunity

• Adecco is partnering our client, a famous Tech MNC
• We are looking for a Geospatial Data Specialist
• The role will start out as a contract
• Candidates who are immediately available/ able to start work within short notice will be preferred

The Talent

• Qualification in Computer Science, IT, or Geography-related space.
• 2-3 years of data processing experience in a fast-paced environment performing geospatial analysis and automation processes.
• Proficient in computer software ie. G-suite (GDocs, Gsheets, etc)
• Strong communication skills
• Passionate about maps with strong analytical and problem-solving skills
• Self-driven and highly motivated individual who can drive continuous project improvement
• Strong project management, cross-department communication, and stakeholder management skills.
• Detail-oriented, metrics-driven, and understands how maps influence the product & customer experience.
• Having Class 3/3A license will be a plus

Job Description

• Collecting data using proprietary software & internal tools
• Monitoring, analyzing & grading large sets of geo data regular validation
• Manage and coordinate the daily operations of our mapping team, ensuring the timely delivery of high-quality geo data to our clients.
• Perform regular quality checks, translation & transcription where applicable
• Lead with cross-functional and local teams to drive projects at a regional level.
• Support the team leader/manager in data analysis and reports
• To adhere to company's confidentiality procedures & policies when collecting, storing and sharing data
• Vendor coordination and project monitoring
• Assist other members of the team with the mapping process and ensure that all aspects are completed accurately and efficiently
• Conduct training locally & regionally as needed

Next Step

• Prepare your updated resume
• Send your resume to Xinyang.liu@Adecco.com
• All shortlisted candidates will be contacted

Liu XinYang

EA Licence Number: 91C2918

Personnel Registration Number: R1988872

Job Title: AI Data Associate (2 months)
Working Location: Alexandra Technopark
Working Day/Hour: Monday to Friday 8:30am-5:30pm

Job Summary:
We are looking for a detail-oriented Image Annotator to review and classify images according to defined guidelines. The role involves examining visual data and accurately labeling or categorizing images to support data quality and machine learning initiatives.

Key Responsibilities:

• Review large volumes of images.
• Classify and label images based on provided guidelines.
• Ensure high accuracy and consistency in annotations.
• Flag unclear or problematic images for further review.
• Follow quality standards and meet annotation targets

Requirements:

• Detail-oriented with strong accuracy in repetitive tasks
• Good visual perception (must not be color blind)
• Basic computer skills and ability to follow guidelines
• Experience in image annotation, data labeling, or AI/ML datasets is an advantage
• Familiarity with annotation tools is a plus

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

This role reports to the Deputy Director (Data Strategyand Capabilities Building) and drives organisation-wide Data Analytics and AIcapability planning, change management and adoption. The role focuses on ensuring that Data and AI initiatives are organisationally ready, adoptable and sustainable, working closely with the Data Strategy, Analytics and Infrastructure teams.

Responsibilities:
Key responsibilities include:

• Lead organisation‑wide Data Analytics and AI capability planning, change and adoption efforts to support enterprise priorities

• Translate enterprise Data and AI strategies into clear plans,roadmaps and coordinated workstreams.

• Oversee Data Analytics and AI capability development across theorganisation, ensuring initiatives are aligned, scalable and sustainable.

• Provide planning, coordination and light oversight acrossengagement and capability workstreams, including adoption and readiness workstreams.

• Guide and shape engagement approaches to support effective Dataand AI adoption, ensuring initiatives are aligned with enterprise strategy andintegrated with technical and planning efforts.

• Review engagement plans, adoption outcomes and capability insightsto assess the effectiveness of engagement approaches and recommend adjustments to improve adoption outcomes.

• Track progress, risks and dependencies across Data and AIinitiatives for consolidated management reporting. Work with the Data Analyticsvertical to support the transition of initiatives from exploration into operationalisation and scaling, where appropriate.

Requirements:

• At least 6–8 years of relevantexperience in programme management, transformation, data or digital roles.

• Strong ability to operate acrosstechnical and non‑technical contexts.

• Good understanding of enterprise Dataand AI considerations, including governance and infrastructure.

• Strong planning, synthesis andstakeholder coordination skills.

• Comfortable operating across strategy and execution in a complex organisational environment.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting

This role reports to the Principal Manager (Data Capability, Change and Adoption) and supports organisation‑wide adoption of Data and AI initiatives through a combination of strategic engagement, change management and community‑building.

The role works closely with business units, technical teams and enterprise stakeholders to ensure Data and AI initiatives are strategically aligned, well‑understood and sustainably adopted across the organisation.Officers in this role are expected to share responsibilities flexibly, covering both strategy‑facing and culture‑building workstreams as required.

Responsibilities:
Keyresponsibilities include:

• Build, manage and sustain Data and AI communities of practice across the organisation.

• Design and deliver Data and AI engagement activities such as showcases, sharing sessions, learning events and talks.

• Act as a front-facing engagement point for business units exploring AI opportunities.

• Facilitated discussions to surface Data and AI use-cases and support officers in problem-framing and awareness of AI possibilities and constraints.

• Translate Data and AI concepts and initiatives into accessible narratives for non-technical audiences.

• Gather adoption insights and feedback to inform planning and continuous improvement.

Requirements:

• At least 3–5 years of experience inengagement, change or programme delivery roles.

• Strong facilitation and communication skills.

• Experience running engagement or community-building initiatives.

• Applied understanding of Data and AI concepts.

• Strong interpersonal and collaboration skills.

'Only candidates with more experience will be considered for the Senior Manager position, with a commensurate remuneration'

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting

Director, Data Center Platform Delivery (Lifecycle | Process | Systems)

Role Focus: Process, Workflow & Playbooks

Location: Dubai (preferred, remote can be discussed)

Relocation: Open to global candidates

Seniority: Director - Senior Director

Role Overview

A global data center developer is seeking a senior leader to codify and standardize the end‑to‑end data center development and operations lifecycle. This role focuses on turning complex new‑build delivery into a repeatable playbook - defining processes, workflows, governance, and systems from early planning through design, construction, commissioning, and steady‑state operations to support scalable growth.

Key Responsibilities

1) Day Zero - Planning & Strategy

• Standardize processes for site selection, feasibility, and early‑stage decision‑making
• Integrate commercial, regulatory, sustainability, and risk inputs into structured workflows

2) Day One - Design & Construction Enablement

• Establish design and construction governance, stage gates, and delivery workflows
• Ensure builds are optimized for operability, modularity, and long‑term scalability

3) Day Two - Operating Model & Readiness

• Define operational processes, KPIs, and governance for reliability, maintenance, and capacity
• Enable data‑driven and analytics‑led operations

4) Lifecycle Playbooks & Workflow Integration

• Map and streamline workflows across planning, procurement, build, commissioning, and handover
• Create repeatable playbooks and operating models for multi‑site deployment

5) Systems & Digital Enablement

• Define and implement lifecycle systems (project controls, asset/facilities, capacity, commissioning)
• Drive integration between design, build, and operations platforms

6) Governance & Scale

• Embed risk management, compliance, and change control into workflows
• Drive continuous improvement as the platform expands

Candidate Profile

• Strong background in data centers, mission‑critical infrastructure, or large‑scale platforms
• Proven experience building processes, workflows, and operating playbooks
• Exposure across planning, design, build, commissioning, and operations
• Systems‑oriented, structured, and comfortable operating across technical and executive stakeholders
• Successfully expanded new build data center to new region/territory
• Current/Prior working experience in a data center developer / operator (core requirement)

Working Model

• Preferred: Based in Dubai
• Alternatives: Remote or Thailand‑based
• Relocation support available

If you are interested, kindly apply with your updated English CV, detailing your relevant Data Center experience. Only shortlisted candidates will be contacted.

Contact: Keith Ng (Lic. No R2093574 / EA No. 16S8194)

About the Role
Join the Data Team and contribute to transforming data into meaningful insights that support better business decisions. This role combines business analysis with hands-on data work — including statistical analysis, performance tracking, dashboard development, and ETL support — helping teams across the organisation make data-driven decisions.

Key Responsibilities
• Understand and translate business needs into clear data requirements and deliverables
• Conduct statistical and performance analysis, ensuring accuracy through validation checks
• Build and maintain dashboards and reports using Power BI or Qlik
• Support ETL processes and manage data within Snowflake
• Provide ad-hoc data extraction and reporting support for various business units

Requirements
• 2–4 years of experience in Business Analysis, Data Operations, or Data Analytics (experience in financial services or fintech is an advantage)
• Proficient in SQL (Snowflake), Excel, Power BI or Qlik
• Good understanding of statistical techniques used in data analysis
• Strong stakeholder management, communication, and documentation skills (e.g. Jira, Confluence)
• Familiarity with AWS services is a plus
• Detail-oriented, proactive, and able to work effectively in a fast-paced environment

Salary: $4,800-$6,000 + half month bonus

Interested applicants please email your resume to ivytham@recruitexpress.com.sg

Ivy Tham Yi Ru (R1104692)

Recruit Express Pte Ltd (EA Number: 99C4599)

Duration: 3 months

Salary: $10-$15 per hr

Location: Raffles Place

Working Hours: 8.30am - 6pm

Job Scope:

• Clean, update, and de-duplicate contact and company records
• Perform accurate data entry and bulk uploads into HubSpot
• Validate data completeness, accuracy, and consistency across records
• Flag data gaps, inconsistencies, or system issues to the team
• Support basic reporting and data extraction when required
• Assist in processing membership applications and updates
• Coordinate with internal teams on incomplete or unclear submissions
• Maintain proper data documentation and audit trails
• Provide administrative support to the team as required

Requirements:

• Some experience working with CRM systems (HubSpot preferred)
• Prior administrative, data-entry, or data support experience preferred
• Min A/Nitec/Diploma in any field

If interested, please send updated resume via email  biohealth@recruitexpress.com.sg 

Melissa Zhang Zhiqi (Mezzo)

(CEI.No: R2197564 | Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

biohealth@recruitexpress.com.sg

About Us

Founded in 2014, Lumens Group is leading the transformation of the mobility industry in Singapore. We have successfully built one of Singapore's largest car fleets and expanded our offerings to personal and corporate leasing, purchasing and financing. As we enter a new phase, we're building an integrated ecosystem for merchants and consumers, driven by advanced technology and a mission to enrich everyday life. Now, we're on the lookout for a data analyst intern to join us in Singapore.

Your Role on Our Journey

We are looking for a Data Analyst Intern to support our business teams in making data driven decisions. The intern will work closely with different stakeholders to understand processes and reporting needs and then translate them into automated solutions and dashboards. This role is ideal for someone who is detail-oriented, curious, and eager to learn about data analysis and business operations.

Your Day-to-Day Adventures

• Collaborate with different teams to understand workflows, requirements, and reporting needs.
• Automate report generation to improve efficiency and reduce manual work.
• Build, update, and schedule Power BI dashboards for business monitoring.
• Clean, transform, and prepare data from multiple sources for analysis and automation.
• Assist in setting up data pipelines to ensure data accuracy, timeliness, and usability.
• Conduct ad-hoc analyses to provide insights that support business decisions.

What Makes You a Perfect Fit

• Proficient in Power BI (dashboard creation, scheduling, data modeling).
• Familiarity with data integration and data pipelining (extracting, cleaning, and preparing data from multiple sources).
• Basic scripting/programming knowledge (e.g., Python for report automation, data cleaning, or ETL tasks).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills to translate business needs into technical requirements.

Good to Have (Bonus) Skills

• Knowledge of SQL for querying and joining datasets.
• Experience with Excel/Google Sheets for quick analyses.
• Exposure to ETL tools or cloud data platforms.
• Basic understanding of data governance, quality checks, and version control.

Ready to Drive the Extra Mile?

Send your resume that showcases your unique spark to us today. If your journey aligns with ours, we'll get in touch soon!