Total 493 command center analyst job vacancies in Information Technology category in Singapore

Role Summary

The System Analyst will support the analysis, design and implementation of workflow-driven enterprise systems of the client, including document and content management platforms (e.g., OpenText). This is a techno-functional role requiring strong workflow understanding, technical aptitude and the ability to collaborate across business and IT teams.

Key Responsibilities

Business & Functional Analysis

• Gather, analyze and document business and system requirements
• Translate requirements into functional specifications, workflows and system designs
• Perform impact analysis and support solution definition

Workflow & Process Management

• Analyze and design end-to-end workflows and approval processes (e.g., maker-checker, document lifecycle)
• Ensure workflows align with business needs, operational efficiency and compliance standards
• Ensure application solutioning aligns with defined application technical and functional design principles
• Identify opportunities for process improvements and automation

Techno-Functional Coordination

• Act as a liaison between business users and technical teams
• Work closely with developers and architects to ensure accurate implementation
• Support integration discussions and data flow analysis

Testing & Implementation

• Review test cases and scenarios and support SIT/UAT execution
• Coordinate defect resolution and ensure quality delivery
• Support deployment, release activities and post-implementation validation

Support & Maintenance

• Assist in troubleshooting system issues and support production environments
• Participate in incident and problem management activities
• Ensure proper documentation and knowledge management

Requirements

• Degree in Computer Science, Information Technology, or related discipline
• 8-10+ years of experience as a System Analyst / Business Analyst (Techno-functional)
• Strong understanding of workflow-based systems and business processes
• Good technical knowledge of system integrations, APIs and data flows
• Ability to communicate effectively with both technical and business stakeholders

Good to Have

• Experience with OpenText or Enterprise Content Management (ECM) platforms
• Exposure to banking systems and regulatory environments
• Familiarity with Agile / Waterfall methodologies

Preferred Attributes

• Strong analytical and problem-solving skills
• Attention to detail and documentation quality
• Ability to work in a structured, governance-driven environment

Responsibilities:

• Perform data extraction, cleaning, generate regular and ad-hoc reports to support in-depth analysis of the branch's operating trends, profitability, and other key performance indicators.

• Collaborate with cross-functional teams and departments to gather data requirements and provide analytical support.

• Work closely with stakeholders to understand their data needs and provide tailored analytical solutions.

• Create and maintain dashboards to monitor key performance indicators (KPIs) and metrics.

• Automate reporting processes to improve efficiency and accuracy.

• Contribute to the development and improvement of data processes and reporting frameworks.

• Support decision-making by translating data findings into practical recommendations.

• Other related duties.

Requirements:

• A recognized University Degree, preferably in Data Science, Data Analytics, Business Analytics, Statistics or related field;

• Minimum 5 years of relevant experience in data analytics;

• Strong analytical skills and good knowledge of the banking industry;

• Strong organizational and management skills with the ability to work independently.

• Strong analytical and problem solving skill, proficient in SAS, SQL, Python, R Programming, MS Excel VBA and BI tools;

• Proficiency in Chinese would be an added advantage as incumbent is required to understand Chinese documents from Head Office.

Location: Punggol
Work Mode: Onsite

Requirements:

• Minimum bachelor’s degree or equivalent professional qualifications in Computer Science, Business Information Systems, Mathematics, Statistics, or similar quantitative discipline,
• 2-5  years of hand-on experience in MS SQL, Jira, Confluence, Qlik Sense, Power BI, eazyBI and relevant data/report-related plugins for these systems
• Excellent command of Excel, and preferably fluent in one or more data analysis languages / technologies / tools, such as Python, SQL, SAS, R, SCALA and similar.
• Basic knowledge in banking operations is required. Having experience as a data analyst or in a related role/field in banking/finance industry is highly desirable.
• Experience in gathering and documentation of business and technical requirements for data collection, analysis, maintenance, and reporting purposes.
• Proficient in designing, developing, modeling, and documenting data-driven solutions – including capturing / creating / utilizing data architectures, metadata systems, data dictionaries, databases, applications, pipelines, BI Tools, Big Data Platforms, analytical /query, and visualization tools.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information
• Exceptional data visualization and communication skills to present findings and insights to senior management and key stakeholders, including non-technical business users.
• Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.
• Ability to work effectively in a team-fostered, multi-tasking environment, and a proactive team player who is curious about data and possesses a strong drive to create and lead initiatives.

Job Summary

The Systems Analyst is responsible for supporting, maintaining, and enhancing enterprise systems, primarily NetSuite ERP and/or Oracle(EBS/11i). This role serves as the key liaison between business users and technical teams, ensuring smooth system operations, issue resolution, and successful delivery of system-related projects, including ERP migration initiatives.

Key Responsibilities

Business Analysis & Stakeholder Engagement

• Gather, analyze, and document user requirements across Finance, Supply Chain, and Operations
• Translate business needs into functional and technical specifications
• Collaborate with stakeholders to propose system improvements and automation opportunities

System Development & Enhancement

• Design, develop, and implement enhancements in Oracle (PL/SQL, reports, interfaces) and NetSuite (SuiteScript, workflows, saved searches)
• Work with developers or independently deliver small to mid-scale solutions
• Support integrations between Oracle, NetSuite, and other internal/external systems
• System migration when required
• Work with AI, automation, dashboards, and reporting

Application Support & Troubleshooting

• Provide day-to-day support for Oracle and NetSuite users
• Investigate and resolve system issues, data discrepancies, and process gaps
• Perform root cause analysis and implement preventive solutions

Testing & Deployment

• Prepare test scripts, conduct UAT, and support deployment activities
• Ensure solutions meet business requirements and quality standards
• Manage change requests and version control

Reporting & Data Management

• Develop and maintain reports/dashboards using Oracle tools and NetSuite reporting (e.g., saved searches, SuiteAnalytics)
• Ensure data integrity and consistency across systems

Documentation & Training

• Maintain functional and technical documentation
• Conduct user training and create user guides to support adoption

Project Management (Ad Hoc Projects)

Requirements

• Bachelor’s degree in information systems, Computer Science, Business IT, or related field
• 3–5 years of experience in ERP systems support, development, or implementation

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

• Engage users to understand strategic and operational needs, capture requirements, identify gaps and translate these into solutions.

• Provide daily applications support and perform administrator functions such as user management, security management, etc.

• Conduct regular user trainings as well as reviews and revise training materials.

• Manage business applications related projects, including user acceptance tests and data migration, and ad-hoc assignments.

• Provide ad-hoc support to other application systems like NetSuite, Salesforce, HRMS, etc, when needed.

• Ensure data handling and system configurations comply with organisational policies and applicable regulations (e.g. PDPA).

• Manage 3rd party vendors and consultants to achieve holistic outcome/ goal.

• Develop SOP, user guides, training materials and systems documentations and ensure these are up-to date.

• Provide assistance in planning, design, research and acquisition of new or upgraded business applications.

• Prepare reports/ dashboards for IT department.

• Continuous work improvement in operational efficiency through automation scripts, implementation of new technology and knowledge sharing.

• Be a role model, to lead by example in workplace and provide guidance to junior colleagues.

The above activities are no means exhaustive and are subjected to amendment whenever is needed.

Minimum Education / Qualifications

• Diploma/ Degree in Information systems or equivalent.

Minimum Years of Relevant Experience

• 2 years’ or more experiences in CMS, CRM business applications support and project implementation.

Knowledge/Skills

• Experiences in analysing, designing and implementing information systems and strong passion in business processes.

• Experiences in Client Management System processes (e.g. Referral, Admission, Case Management, Attendance Management, Incident Management, Fee Management, Graduation, etc).

• Experiences in project, incident, change and risk management.

• Knowledge of SDLC methodologies and project management frameworks (e.g. Agile, Waterfall).

• Familiarity with data privacy regulations (e.g. PDPA, GDPR) and organisational security standards.

• Knowledge of process modelling tools and techniques (e.g. UML, BPMN).

• Basic experience in software development and programming languages (e.g. Java, .Net, Apex, HTML, etc).

• Basic understanding in NetSuite/ SAP, Microsoft Dynamics, Salesforce, HRMS, Business Intelligence and workflow tool would be an advantage.

• Knowledgeable in Power Platform, Copilot, Microsoft Office and other Windows and web applications.

Attributes (functional or leadership competencies)

• Proactive in seeking assistance, input and feedbacks.

• Customer-centric.

• Team player with excellent interpersonal skills and multi-tasker.

• Excellent communication and written skills.

Company Overview

IDC Technologies provides professional services leveraging global applicant databases and advanced technology to deliver high-quality technical outsourcing solutions that maximize customer value and satisfaction.

Job Summary

You will collaborate with stakeholders to translate business needs into technical requirements, support solution design, and ensure quality delivery through testing and data analysis in a dynamic project environment.

Responsibilities

• Collaborate with stakeholders to gather and translate business needs into clear, actionable technical requirements
• Create and maintain comprehensive business requirements documents (BRDs), functional specifications, user stories, and process flows
• Facilitate meetings to align business and technical teams and gather insights
• Support technical teams in evaluating solution options to ensure alignment with business objectives
• Develop and maintain detailed API documentation to support integration and development efforts
• Create test cases, coordinate User Acceptance Testing (UAT) activities, and validate that solutions meet requirements
• Extract, analyze, and interpret data using SQL to support decision-making and validate requirements
• Assist in managing requirement changes and assess their impact on project scope, timeline, and resources
• Identify opportunities to streamline processes and improve project delivery

Preferred competencies and qualifications

• Experience working in Scrum or other Agile frameworks
• Hands-on experience with API testing tools and methodologies
• Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field
• 2–3 years of relevant experience in business analysis, technical analysis, or a related role

Position: Data Analyst
Location: Singapore
Type of Employment: Full-Time
Compensation: -

Purpose of the Position: The Data Analyst will be responsible for transforming data into actionable insights to support business decision-making. This role focuses on data extraction, analysis, visualization, and reporting using modern data platforms such as Databricks, along with SQL and BI tools, to drive data-driven strategies across the organisation.

Key Result Areas and Activities:

• Extract, clean, and transform data from multiple sources using SQL and Databricks to support analytics and reporting needs.
• Develop and maintain scalable data models and datasets for business intelligence and dashboarding.
• Build interactive dashboards and reports using Tableau and/or Power BI to visualize key metrics, trends, and insights.
• Perform exploratory data analysis to identify patterns, anomalies, and opportunities for business improvement.
• Collaborate with business stakeholders to gather requirements and translate them into analytical solutions and reporting outputs.
• Support data validation, reconciliation, and quality checks to ensure accuracy and consistency of reporting data.
• Automate recurring reporting processes and improve efficiency of data workflows.
• Provide actionable insights and recommendations to support operational and strategic decision-making.
• Document data definitions, business rules, and reporting logic for governance and knowledge sharing.

Essential Skills:

• Strong proficiency in SQL for data querying, transformation, and analysis
• Experience working with Databricks or similar data platforms
• Hands-on experience with Tableau and/or Power BI for dashboard development
• Strong analytical and problem-solving skills
• Experience in data cleaning, validation, and data modelling
• Ability to work with large datasets and derive meaningful insights

Desirable Skills :

• Experience with Python (Pandas, PySpark) for data analysis
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of ETL/ELT processes and data pipeline concepts
• Experience working in government or regulated environments
• Understanding of data governance and data quality frameworks

Qualities:

• Strong attention to detail and data accuracy
• Good communication skills to translate data insights into business terms
• Proactive and solution-oriented mindset
• Ability to manage multiple stakeholders and priorities
• Collaborative team player with strong ownership of deliverables

Role and Responsibilities

1.Provide on-going application support and be involved in various stages of the SDLC

2.Conduct user requirement gathering for new systems and/or enhancements to existing systems/solutions

3.Conduct user requirement analysis for the development / implementation of new systems and enhancements to existing systems

4.Perform documentation of requirements and new process/workflows for the developed solutions

5.Perform functional analysis of new systems and enhancements to existing systems

6.Involvement in the various testing phases prior to implementation, including but not limited to developing test plans and cases, conducting testing and verifying test results and following up on issues to resolution

7.Plan and coordinate end-user training for any system implementations or enhancements

8.Liaise closely with business users and build good rapport particularly in the area of defining IT processes, organizations and workflow relationships to complement the solution

9.Support the team in defining project requirements, tracking and documentation of project progress with respect to time, resources, budget and demonstrated results

10.Identify, facilitate and ensure cross functional resource support for projects.

11.Provide 24/7 primary application maintenance support

12.Participate and support Request for Proposal (RFP) for projects with the Manager.

II. Requirements

1.Minimum 3 years of experience in developing, implementing and maintaining IT systems

2.Successful track record in project management, user and vendor management

3.Experience in MS Windows environment & application support

4.Experience in Database management systems (SQL, Oracle)

5.Strong analytical skills and ability to work independently

6.Experience in healthcare industry is an added advantage

7.Degree in Computer Science, Computer Engineering or equivalent

Role: System Analyst

Job Requisition Number: IS-84059

Job Level: 6-9 years of relevant experience (L3)

Location: Singapore

Key Responsibilities:

1. Functional Specification

a. Responsible to analyse and define detailed functional specifications based on the functional and non-functional requirements document

b. Collaborate with Functional Business Analyst to clarify functional and non-functional requirements

c. Define and ensure traceability from functional specifications to business require

2. Technical Design

a. Responsible to create technical design

b. Ensure technical design adheres to architectural roadmap, Development practices, and security requirements

c. In case of vendor implementation: Ensure vendor resources create technical design document

d. Collaborate with developers and infrastructure teams to clarify functional specification and technical design during build, test and deployment phase

e. Collaborate with Production Support to establish IT operations procedures and document as part of Tech Design

f. Coordinate execution of threat modelling process with assistance of Security Architect to ensure implementation of safeguards is comprehensive in accordance with threats

3. Testing & Scope Management

a. Clarify test findings escalated by Test Manager and classify the findings accordingly (either as a defect or change request)

b. Provide input to impact assessment and estimation for Project Change Request

c. Work with Test Manager to review test plan and functional test scope

Key Requirements:

      Commitment and a have a team environment mindset

      Minimum 6 years of working experience in application testing, development and delivery.

      Ability to work in a fast-paced, team-oriented and project implementation environment.

      A strong & assertive communicator in speaking& writing. Analytical mindset and good problem-solving skills.

      Delivery experience on medium to large scale projects.

      Anti Money Laundering application experience

      Required to have experience working with AML Fircosoft applications

o    Continuity Screening

o    Watchlist Management (FUM, FMM, FML, FFC etc)

      Strong analytical mindset, with the ability to interpret business needs, conduct gap analysis, and translate requirements into clear functional and technical specifications.

      Strong capability in process analysis and documentation of end‑to‑end business flows.

      Strong communication and coordination skills across internal and external stakeholders and vendors.

      Good to have knowledge of Payment screening, or financial messaging, e.g. MQ, ISO20022, SWIFT

Technical Skills:

      Experience with Oracle PL/SQL, Oracle SQL.

      JAVA and Windows/ Unix scripting development experience

      Familiarity with Control-M or similar scheduling tools

      Experience working with DevOps tools and pipelines or usage aspart of the integrated development environment

      Good to have experience with MQ messaging technologies.

      Have worked in Linux and Windows platform experience

Purpose

The Data Insights Analyst is involved in the analysis, implementation and performance management of the market or region for optimisation of Corporate, Agency and Digital Sales programmes.

In this role, you will support the Business Insights & Analytics team’s. The Data & Insight Analyst is responsible for the analysis, implementation and performance management of the region. The role is also responsible for optimisation of Corporate, Agency and Digital sales programs.

In this role, you will support the end-to-end regional commercial strategy planning process, starting from goal setting, initiatives formulation to implementation and tracking, with the aim to drive revenue across different customer segments and distribution channels. You will use data analytical tools (both internal and external) to perform analysis and provide commercial teams (i.e. Regional Marketing, Digital, Sales teams) with actionable insights that helps to identify revenue opportunities. You will also be responsible for measuring the success of all sales or go-to-market activities, as well as sharing all learnings with respective stakeholders for future improvements

Key Responsibilities

Business Planning

• Consolidate local market intelligence or any sales opportunities (e.g. MICE, special group movements) and share/discuss with Head Office with proposed plan to win deals with high success rates and incremental revenue
• Support local sales teams in tracking incentives performance, business development or up-/cross-selling activities so that CX remains as the preferred choice for the trade partners and for our customers
• Observe market activities and brainstorm with local stakeholders to design customised products for targeted customer segments, and collaborate with Head Office for new product launches

Analytics Champion

• Act as the analytics champion for the region – i.e. well-versed with all in-house and external data analytical tools (i.e. DDS, QlikSense, PRISM)
• Analyse data, develop reports, draw inferences and provide actionable insights to Regional Sales Teams, including new trends/customer purchase behaviours, new sales opportunities and areas of improvements
• Conduct performance tracking of all campaigns/ initiatives with clear and defined metrics; identify learning points and continue to improve to achieve targets
• Drive adoption of all analytical tools and cultivate data-driven culture within the Regional and Local teams
• Conduct ad-hoc commercial studies and support Head Office-driven analytics projects when required

Pricing and Fares Management

• Provide local-specific insights in the formulation of pricing strategies with HO RMO
• Monitor the effectiveness of the pricing strategies and initiate change discussions when needed
• Responsible for year-round proactive campaign planning process – i.e. developing campaign proposals, benchmarking, market insights and campaign tracking
• Review and analyse local market Corporate discount parameters, Global Specialty products (i.e. students/MICE/Seamen/Cruise)
• Manage communications with local sales teams on fare changes, fare conditions revision, new products/campaigns launches and/or any government fares filing (if required)
• Assist with checking new live fares on GDS to ensure 100% accuracy and troubleshooting of any fare auto-pricing errors
• Manage ad-hoc fare proposal and requests

E&A responsibility

• Emergency and Accident and Crisis Response responsibilities as required

General

• Any other reasonable task as requested

Key Requirements

• University Degree (preferably in related disciplines) with minimum 2+ years’ experience in data analysis in a regional team set up
• Strong numerical and statistical analytical skills are essential
• Able to present analysis clearly with findings and actionable insights
• Demonstrated positive and innovative learning attitude, problem-solving skills and stakeholder management
• Knowledge of airline/travel management systems including DDS, MIDT and PRISM is an advantage
• Practical experience with any analytical tools (e.g. QlikSense, Tableau, PowerBI) is an advantage
• Travel/Airline industry experience preferred
• Expert knowledge of MS Suite of tools

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)

Job Description:

The Data Center Engineer will be responsible for overseeing the daily operations of our data center facilities, ensuring optimal performance, reliability, and security. The ideal candidate will have extensive experience managing data center infrastructure, troubleshooting hardware and network issues, and implementing best practices for environmental and power management.

Key Responsibilities:

• Monitor and maintain data center physical and virtual infrastructure to ensure 99.99% uptime.
• Manage power systems, including UPS, generators, and distribution units.
• Maintain environmental controls such as cooling, humidity, fire suppression, and security systems.
• Troubleshoot and resolve hardware, network, and environmental issues promptly.
• Perform routine inspections, preventive maintenance, and upgrades of data center equipment.
• Coordinate with vendors and internal teams for repairs, upgrades, and capacity planning.
• Develop and update documentation related to data center configurations, procedures, and incident reports.
• Ensure compliance with industry standards, security protocols, and regulatory requirements.
• Assist in disaster recovery planning and implementation.
• Support and mentor junior staff members as needed.
• This is a 24/7 shift role.

Requirement:

• Minimum 5 years of experience in data center operations, engineering, or related fields.
• Bachelor’s degree/Diploma in Computer Science, Information Technology, Electrical Engineering, or a related field.
• Strong knowledge of data center infrastructure, including power, cooling, and environmental systems.
• Hands-on experience with server hardware, networking equipment, and data center management tools.
• Certifications such as DCCA, CCNA, CompTIA Server+, or equivalent are preferred.
• Excellent troubleshooting, problem-solving, and communication skills.
• Ability to work under pressure and handle emergency situations effectively.
• Knowledge of industry standards and best practices for data center management.
• Location: Jurong West

Position: SAP Data Analyst / SAP Master Data Executive (1-Year Contract)

Job Description:

• Hands-on experience working with SAP

• Strong knowledge of SAP Master Data, including Material Master Data and Vendor Master Data

• Perform data analysis and validation to ensure data accuracy and integrity

• Proficient in Excel, including Power Query

• Ability to work independently with minimal supervision

• Apply critical thinking to interpret data and make sound recommendations based on analysis

Work Location: Tuas
Contract Duration: 1 year
Salary: up to 4k

Interested candidates, do submit your resume to: jocelynchan@recruitexpress.com.sg OR telegram @jocelynchan

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience)
Company EA Licence number : 99C4599
Personnel EA License: R1331820