Total 3,918 job vacancies in Singapore

Labrador Park

ASAP to end Oct 2026

9AM to 6.30PM Monday to Thursday, and 9AM to 5.30PM Friday

Responsibilities

• Internet Banking Testing - To assist in user acceptance testing for UOB Internet Banking.
• Mobile Banking Testing - To assist in user acceptance testing for UOB TMRW.
• ICH Testing - To assist in user acceptance testing for Integrated Multi-Channel Host.
• Ad-hoc duties as and when assigned.
• Perform manual testing for functional testing and regression testing.
• Track and monitor testing progress and defect resolution.
• Provide regular test progress to Team lead.
• Assist in admin work like data update and other ad hoc projects as assigned by the supervisor.

Requirements

• Diploma in any field
• Require to commit overtime on weekdays and sometimes on weekends, until 8pm/ 9pm during peak period

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Job Responsibilities:

·       Seated within the Distribution Compensation team

·       Manage and validate distribution reports (e.g., production tracking), ensuring accuracy, timeliness, and compliance with business rules.

·       Analyze business requirements and data to identify trends, generate insights, and support decision-making.

·       Collaborate with stakeholders to enhance processes, develop analytical models, propose solutions, and ensure business continuity through troubleshooting.

·       Adhoc tasks as assigned

Job Requirements

·       Minimum Degree in a related discipline

·       Minimum 2years of relevant accounting/finance duties

·       Able to start immediately or within short notice

Interested candidates, kindly email your detailed resumes in MS word format to joseph.koh@ambition.com.sg

Attention to Joseph Koh Wei Jie(R1873431)

Shortlisted candidates will be notified

www.ambition.com.sg

EA Registration Number: R1873431

Data provided is for recruitment purposes only

Business Registration Number:200611680D. License Number: 10C5117

Job Summary

We are a project team comprising researchers from SingHealth, A*STAR, and Synapxe, developing a product to enhance the management and treatment of patients with lower respiratory tract infections (LRTIs)—a condition that accounts for nearly 489 million cases globally and is a major contributor to inappropriate antibiotic use in Singapore. 

Over 40% of prescriptions for LRTIs are unnecessary, contributing to antimicrobial resistance (AMR)—a top global health threat. Traditional stewardship programs are expert-dependent and resource-intensive, limiting scalability.

To overcome these challenges, we are building an AI-powered Large Language Model platform that uses routinely collected clinical data to help clinicians identify cases that do not require antibiotics, thereby reducing unnecessary prescriptions.

Role:

As a Research Officer, you will play a central role by integrating Large Language Models (LLMs) for intelligent processing of unstructured clinical text—such as physician notes, discharge summaries, and radiology reports. Your work will help build explainable, scalable, and real-time AI recommendations that assist clinicians at the point of care for lower respiratory tract infections.

Key Responsibilities:

• Contribute to the LLM development, focusing on enhancing unstructured data processing for clinical and biomedical applications.
• Fine-tune and train LLMs (e.g., LLaMA, Mistral, Phi, and the GPT family) using supervised and instruction-based datasets.
• Design and implement pipelines for data cleaning, preprocessing, and tokenisation of large-scale text corpora.
• Integrate retrieval-augmented generation (RAG) and knowledge graph components for domain adaptation.
• Evaluate model performance using BLEU, ROUGE, BERTScore, and factual consistency metrics.
• Develop optimised PEFT/LoRA/QLoRA fine-tuning frameworks for efficiency on GPU clusters.
• Collaborate with researchers to design experiments, interpret results, and publish findings.
• Maintain reproducible codebases, documentation, and experiment logs.

Requirements:

• Master or Bachelor in computer science, data science, artificial intelligence, computational linguistics, or related disciplines.
• Strong experience in Natural Language Processing (NLP), transformer-based models, and text generation.
• Proficiency in Python, PyTorch, Hugging Face, Transformers, and LLM fine-tuning libraries (e.g., PEFT, DeepSpeed, bitsandbytes).
• Experience with text and data processing, including annotation, tokenisation, and augmentation.
• Familiarity with vector databases (FAISS, Qdrant) and RAG pipelines.
• Understanding of GPU-based training, distributed model optimisation, and experiment tracking (e.g., MLflow, W&B).
• Strong analytical, communication, and collaborative skills.

Preferred Experience

• Research experience with open-weight LLMs or domain-specific adaptation (e.g., biomedical).
• Experience with multi-agent frameworks, prompt engineering, or LLM safety evaluation.
• Familiarity with cloud computing (AWS, Azure) or on-prem GPU clusters.

What We Offer

• Opportunity to work on cutting-edge LLM research with measurable real-world impact.
• Access to high-performance GPU infrastructure and interdisciplinary collaborations.
• Mentorship and opportunities for publication, conference presentation, and project leadership.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. 

We’re all in, are you? Join EY and shape your future with confidence.

The opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for passionate AI Engineers to join our growing team. This role combines expertise in artificial intelligence, natural language modelling, machine learning and software engineering to develop and deploy multi-agentic workflows & applications.  

Your key responsibilities

• Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
• Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs and data pipelines on cloud-based platforms (example Microsoft Azure, AWS).
• Develop, refine, and implement advanced NLP (natural language processing) & predictive models to generate insights from complex structured and unstructured data sets.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
• Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
• Utilize full-stack development knowledge using DevOps with hands-on practice in language like Python, Java, React (Node.js) language to develop end-to-end application.
• Collaborate with stakeholders, presenting findings to a business / management audience and providing strategic recommendations.
• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.

Skills and attributes for success

• Experience / beginner knowledge in Natural Language Processing (NLP), Machine Learning, , Generative AI, Data Transformation, Scripting.
• Knowledge and experience in project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on exploratory analysis, data science, Big Data analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experience
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 2 year of experience with any of the domain - Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM).
• Proficiency in Python and other applicable full-stack software programming languages.
• Strong knowledge of machine learning, language modelling, data mining, and predictive modeling.
• Excellent understanding of data science algorithms, processes, tools, and platforms.
• Possess a strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments
• Knowledge of API integration, containerization (E.g., Docker), cloud platforms (E.g. Azure, AWS, GCP), automated testing frameworks, and CI/CD practices
• Experience in IT Consulting/Big 4 environment

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply today!

About the client: Our client is a Bank

Responsibilities:

• Manage the Project scope, timeline, and commissioning/cutover outcomes.
• Manage cabling, LAN, Wi Fi AV/VC rooms, endpoints, identity/security readiness process.
• Handle contractor management, FM/building management, RACI, SLAs, and escalation.
• Responsible for Budgeting, Procurement, value engineering, change control, variance tracking.
• Handle the governance process such security approvals, change tickets, document packs etc.

Requirement:

• Bachelor Degree in IT / Compute Science or relevant educational qualification.
• 2–3 completed office fit outs (≥10,000 sq ft preferred): scope, budget, timeline, and commissioning/cutover outcomes.
• Hands on coordination of cabling, LAN, Wi Fi (incl. heat maps), AV/VC rooms, endpoints, identity/security readiness.
• Vendor/contractor management (cabling/AV/network integrators, corporate real estate, FM/building management, landlord) with RACI, SLAs, and escalation examples.
• Budget & procurement: Quotations comparisons, value engineering, change control, variance tracking.
• Governance: EA/security approvals, change tickets, document packs (designs, T&C scripts, as builts, handover/SOPs).
• User change enablement: comms/training plans, hypercare metrics.
• Attitude/service orientation: executive and end user references, examples of de escalation and sponsor management.

Interested candidates, who wish to apply for the above position, please send in your resume to mail to mohamed.basith@persolapac.com

We regret that only shortlisted candidates will be contacted.

EA License No. 01C4394
EA Personnel Reg.No. R1104824 (Samsudeen Mohamed Basith)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolapac.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Responsibilities

• Gather, collate, and analyze user requirements from business and risk users and provide clear business specifications for system implementations.
• Analyse and perform impact analysis of requests and review system and functional designs are sound and adequate to address Market & Counterparty Risk Business needs.
• Devise comprehensive test plans (including test scenarios and test cases) to test system deliverables.
• Perform user acceptance testing, regression testing, simulation testing and live verification to ensure system deliverables meets the required objectives.
• Plan, schedule and adhere to enhancement timeliness to meet agreed deliverables.

Requirements

• Degree in Banking, Financial Engineering, Computer Science, or any other related quantitative discipline with about 3 or more years’ relevant experience in business analysis area
• Prior business analysis experience of working between technology and business users to specify business requirements for development of systems solutions.
• Understanding and experience in market risk or counterparty risk
• Good to have prior experience in implementing market or counterparty system or innovative digital solutions within Risk Management Group
• Proficient in SQL and Excel

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

1. Accountable for overall project business requirements elicitation
2. Driving business discussions and managing the project scope
3. Senior stakeholder management and leadership updates
4. Support the project delivery phases especially during Analysis and design and test phases.
5. Ability to support the PM when required

Key requirements:

1. 10+ years of experience in Banking industry.
2. 10+ years of experience as an FBA working in technical delivery.
3. Experience as a business analyst in leading banks and delivered projects, programs of large scale.
4. Should have good communication skills and capability to drive senior stakeholders with minimal supervision.
5. Should have domain experience in AML/KYC/Compliance and Data/Analytics.
6. Previous technical experience is beneficial.

Process & Automation Support

• Assist in mapping current manual processes and identifying improvement opportunities
• Support documentation of automation workflows (e.g. Power Automate or scripts)
• Create simple documentation for automation solutions and usage guides
• Support User Acceptance Testing (UAT), including preparing test cases, executing tests, and logging issues

Data Operations & Reporting

• Perform data cleaning, standardisation, and preparation for system updates or migration
• Conduct data validation and cross-checks to ensure accuracy and consistency
• Support the creation and maintenance of reports and dashboards for management use
• Work with structured and unstructured data using Excel and other tools

Requirements:

• Comfortable with Excel (XLOOKUP, Pivot Tables, formulas) and handling datasets
• Experience or exposure in UAT and/or system testing preferred
• Knowledge of VBA, Python, or Microsoft Power Platform is an advantage
• Familiar with Power BI or Tableau will be a plus

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. 

We’re all in, are you? Join EY and shape your future with confidence.

The opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for passionate AI Engineers to join our growing team. This role combines expertise in artificial intelligence, natural language modelling, machine learning and software engineering to develop and deploy multi-agentic workflows & applications.  

Your key responsibilities

• Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
• Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs and data pipelines on cloud-based platforms (example Microsoft Azure, AWS).
• Develop, refine, and implement advanced NLP (natural language processing) & predictive models to generate insights from complex structured and unstructured data sets.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
• Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
• Utilize full-stack development knowledge using DevOps with hands-on practice in language like Python, Java, React (Node.js) language to develop end-to-end application.
• Collaborate with stakeholders, presenting findings to a business / management audience and providing strategic recommendations.
• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.

Skills and attributes for success

• Experience / beginner knowledge in Natural Language Processing (NLP), Machine Learning, , Generative AI, Data Transformation, Scripting.
• Knowledge and experience in project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on exploratory analysis, data science, Big Data analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experience
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 1 year of experience with any of the domain - Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM).
• Proficiency in Python and other applicable full-stack software programming languages.
• Strong knowledge of machine learning, language modelling, data mining, and predictive modeling.
• Excellent understanding of data science algorithms, processes, tools, and platforms.
• Possess a strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments
• Knowledge of API integration, containerization (E.g., Docker), cloud platforms (E.g. Azure, AWS, GCP), automated testing frameworks, and CI/CD practices

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply today!

Lead the development and execution of global power strategies to support DayOne’s growth across regions. Drive grid connectivity, secure energy capacity, and build commercial frameworks while managing key stakeholder relationships and leading a high-impact energy function.

Responsibilities

• Define and execute global power strategies aligned to growth targets across megawatts, campuses, and regions
• Own and deliver the ‘Path to Power’ strategy across all markets, including grid, onsite, and hybrid energy solutions
• Secure and accelerate grid connections, regulatory approvals, and energisation timelines
• Identify and implement alternative energy solutions (e.g., BESS, behind-the-meter, co-location) to unlock capacity
• Advise leadership on market entry decisions based on power availability and constraints
• Build and maintain relationships with utilities, regulators, and energy partners globally
• Structure commercial frameworks and partnerships to prioritise power availability
• Lead renewable and integrated energy strategies (PPAs, onsite generation, storage)
• Build and lead a lean, high-impact team
• Monitor and report future energy capacity pipeline (12–36 months)

Candidate Profile

• 15+ years’ experience in power, energy, utilities, or large-scale infrastructure environments (data centre experience advantageous but not essential)
• Strong understanding of grid infrastructure, energy markets, and regulatory environments
• Proven ability to resolve capacity constraints and deliver business outcomes
• Commercially minded, able to translate technical challenges into strategic decisions
• Experience working with utilities, regulators, and infrastructure stakeholders
• Comfortable operating in high-growth, evolving environments

Additional Information

• Location: Singapore (with regional/global scope)
• Travel: Required across APAC and Europe, future Americas
• We are committed to fair and merit-based hiring in line with Singapore’s fair employment practices.

Role Overview

The Senior Construction Manager is responsible for leading the end-to-end construction delivery of mission-critical data center projects. This includes overseeing planning, coordination, execution, and handover while ensuring projects are delivered on time, within budget, and to the highest standards of safety, quality, and reliability.

Key Responsibilities

Project Leadership

• Lead multiple large-scale data center construction projects simultaneously (greenfield and/or brownfield).
• Develop and manage project execution plans, schedules, and budgets.
• Drive contractor performance and ensure alignment with project goals.

Stakeholder Management

• Act as the primary interface between internal teams (design, engineering, operations) and external stakeholders (contractors, consultants, authorities).
• Provide regular updates to senior leadership on project status, risks, and mitigation plans.

Construction Oversight

• Oversee all on-site construction activities including civil, structural, architectural (CSA), and MEP systems.
• Ensure adherence to design specifications, local codes, and regulatory requirements.
• Monitor progress and proactively resolve site issues.

Safety & Compliance

• Champion a strong safety culture and ensure compliance with all HSE regulations.
• Conduct site audits, risk assessments, and enforce safety protocols.

Quality Assurance

• Implement QA/QC processes to ensure high-quality delivery.
• Oversee commissioning readiness and support integrated systems testing (IST).

Cost & Schedule Control

• Track project costs, manage change orders, and mitigate budget overruns.
• Identify schedule risks and implement recovery plans when needed.

Vendor & Contractor Management

• Select, onboard, and manage general contractors, subcontractors, and suppliers.
• Evaluate performance and enforce contractual obligations.

Commissioning & Handover

• Coordinate with commissioning teams to ensure successful system startup and validation.
• Ensure proper documentation, as-built drawings, and smooth transition to operations.

Required Qualifications

• Bachelor’s degree in Engineering, Construction Management, or related field.
• 10–15+ years of experience in construction management, with at least 5+ years in data center or mission-critical facilities.
• Proven experience delivering large-scale, complex construction projects (>$100M preferred).
• Strong knowledge of CSA and MEP systems in data centers.

Preferred Qualifications

• Experience with hyperscale data center operators or large colocation providers.
• Familiarity with Tier III / Tier IV standards (e.g., Uptime Institute classifications).
• Certifications such as PMP (Project Management Professional) or LEED.
• Experience in fast-track or phased construction environments.

Key Skills & Competencies

• Leadership and team management
• Strong communication and stakeholder engagement
• Risk management and problem-solving
• Contract negotiation and commercial awareness
• Deep understanding of mission-critical infrastructure (power, cooling, redundancy)

Job Overview

We are seeking a Technical Expert and Team Leader for Data Center Construction. This role will be responsible for leading the construction team, coordinating communication with internal and external clients, ensuring that data center construction projects are delivered on time with the highest standards and optimized technology to meet both customer and company requirements. This position will oversee project management, team coordination, and customer communication to ensure our data center projects maintain a world-leading position in terms of quality, technology, cost, time, and safety.

Responsibilities

• Lead and manage the design and construction team, including engineers, technician experts and project managers
• Communicate with customers to understand their needs and engage in negotiation and discussion at all project stages
• Ensure that projects align with company and client requirements, as well as industry standards and best practices
• Take responsibly for design planning, budgetingand change management, project scheduling and resource allocation
• Utilize cutting-edge technology and innovativesolutions to optimize the DC design and construction processes, enhancing efficiency and quality
• Coordinate cross-departmental collaboration,working closely with sales, operations, procurement and other department to ensure successful project delivery.

Skills and Experience

• Over 10 years of experience in the field of data center design and construction, including project management and technical management
• Excellent strategic thinking, team leadership,and management skills, with the ability to motivate and coordinate multi-functional teams
• Strong interest in new technologies andinnovative solutions, with the capability to apply them to projects
• Outstanding customer communication and negotiation skills, adept at establishing strong relationships with diverse clients
• Proficient in project management, problem-solving, and decision-making, capable of making wise decisions in complex situations
• A bachelor's degree or higher in a relevant field.

Role Overview

The Construction Manager – Data Center is responsible for the on-site execution of mission-critical data center construction projects, with a strong focus on MEP systems, reliability, and commissioning readiness. The role ensures all construction activities meet stringent uptime, redundancy, and quality requirements typical of Tier III / Tier IV facilities.

Key Responsibilities

Project Execution (Mission-Critical Focus)

• Manage day-to-day site operations for data center construction (CSA + MEP).
• Coordinate contractors across critical systems including power, cooling, and fire protection.
• Ensure works align with fast-track schedules typical of hyperscale and colocation builds.

MEP Systems Oversight

• Oversee installation and integration of critical infrastructure:Medium/low voltage power distribution (switchgear, transformers, UPS, generators)Cooling systems (CRAC/CRAH units, chillers, cooling towers)Structured cabling and ICT infrastructure
• Ensure redundancy configurations (N+1, 2N, etc.) are properly implemented.

Standards & Compliance

• Ensure compliance with local regulations and authority requirements (e.g., Singapore’s Building and Construction Authority).
• Align construction with industry standards such as Uptime Institute Tier classifications and/or TIA standards.

Environmental, Health and Safety (EHS)

• Enforce strict safety standards due to high-risk electrical and mechanical works.
• Conduct regular audits, risk assessments, and toolbox meetings.

Quality Assurance / Quality Control (QA/QC)

• Ensure all installations meet mission-critical tolerances and specifications.
• Monitor inspections, testing, and turnover processes.
• Manage punch lists and defect rectification.

Testing & Commissioning Support

• Coordinate with commissioning teams for:Factory Acceptance Tests (FAT)Site Acceptance Tests (SAT)Integrated Systems Testing (IST)
• Ensure systems are ready for energization and operational validation.

Schedule & Cost Control

• Track progress against critical milestones (e.g., RFSU – Ready for Service).
• Identify risks to schedule and implement recovery plans.
• Support cost tracking, variation orders, and contractor claims.

Vendor & Contractor Coordination

• Manage general contractors, MEP subcontractors, and equipment vendors.
• Ensure proper sequencing and interface coordination between trades.

Documentation & Handover

• Ensure completion of as-built drawings, O&M manuals, and turnover packages.
• Support smooth transition to operations and facilities teams.

Required Qualifications

• Bachelor’s degree in Electrical, Mechanical, or Civil Engineering (Greenfield project execution strongly preferred).
• 5–10 years of construction experience, with data center or mission-critical project exposure.
• Strong understanding of electrical and mechanical systems in high-availability environments.

Preferred Qualifications

• Experience with hyperscale or colocation data center builds.
• Familiarity with redundancy design (N, N+1, 2N, 2N+1).
• Certifications such as PMP, LEED, or commissioning-related credentials.
• Experience working with international contractors and fast-track delivery models.

Key Skills & Competencies

• Strong MEP coordination and technical understanding
• Knowledge of commissioning processes for mission-critical facilities
• Ability to manage complex interfaces across multiple systems
• High attention to detail and quality standards
• Strong problem-solving under schedule pressure

This entry-level role offers exposure to live events, client campaigns, and team-based marketing execution.

You’ll gain practical skills, performance-based rewards, and clear development pathways in a fast-paced environment.

Ideal for: Individuals starting their career and eager to grow through experience.

What We’re Looking For