Total 10 Manager data entry job vacancies in Kuala Lumpur, Federal Territory of Kuala Lumpur

Role Summary 

The CSA Cost Manager will be responsible for delivering full lifecycle cost management services for the Civil, Structural & Architectural (CSA) packages on a large‑scale data centre development.

This role focuses on ensuring cost certainty, commercial control, and value optimisation across complex base‑build works, including substructure, superstructure, building envelope, and architectural elements. You will work in a fast‑paced, mission‑critical environment, collaborating closely with project teams, consultants, and contractors.

Key Responsibilities

Cost Planning & Pre‑Contract Management

• Prepare and manage cost estimates, feasibility studies, and detailed cost plans for CSA works.
• Provide cost advice during design development on structural systems, construction methods, and architectural elements.
• Benchmark costs and identify value engineering opportunities to optimise project outcomes.

Procurement & Tendering

• Prepare tender documentation and commercial deliverables for CSA trade packages.
• Manage tender processes including pre‑qualification, tender analysis, evaluation, and recommendations.

Post‑Contract Cost Management

• Manage change control processes, including variation assessments and cost impact analysis.
• Review and certify contractor progress payments.
• Monitor cost performance and maintain accurate forecasts and records.
• Support final account negotiation and project close‑out.

Reporting & Financial Control

• Prepare regular cost reports, forecasts, and financial updates.
• Identify cost risks, trends, and mitigation measures.
• Ensure alignment with project budgets and financial governance requirements.

Stakeholder Coordination

• Work closely with Project Managers, consultants, contractors, and client representatives.
• Participate in design, coordination, and site meetings, providing commercial input for CSA scope.
• Coordinate closely with MEP teams to ensure integrated project delivery.

Governance & Risk Management

• Ensure compliance with project governance, procedures, and reporting standards.
• Identify and manage project cost risks proactively.
• Maintain transparency and accuracy in all cost management deliverables.

Role Overview

The CSA Cost Manager will be responsible for delivering full lifecycle cost management services for the Civil, Structural & Architectural (CSA) packages on a large‑scale data centre development.

This role focuses on ensuring cost certainty, commercial control, and value optimisation across complex base‑build works, including substructure, superstructure, building envelope, and architectural elements. You will work in a fast‑paced, mission‑critical environment, collaborating closely with project teams, consultants, and contractors.

Key Responsibilities

Cost Planning & Pre‑Contract Management

• Prepare and manage cost estimates, feasibility studies, and detailed cost plans for CSA works.
• Provide cost advice during design development on structural systems, construction methods, and architectural elements.
• Benchmark costs and identify value engineering opportunities to optimise project outcomes.

Procurement & Tendering

• Prepare tender documentation and commercial deliverables for CSA trade packages.
• Manage tender processes including pre‑qualification, tender analysis, evaluation, and recommendations.

Post‑Contract Cost Management

• Manage change control processes, including variation assessments and cost impact analysis.
• Review and certify contractor progress payments.
• Monitor cost performance and maintain accurate forecasts and records.
• Support final account negotiation and project close‑out.

Reporting & Financial Control

• Prepare regular cost reports, forecasts, and financial updates.
• Identify cost risks, trends, and mitigation measures.
• Ensure alignment with project budgets and financial governance requirements.

Stakeholder Coordination

• Work closely with Project Managers, consultants, contractors, and client representatives.
• Participate in design, coordination, and site meetings, providing commercial input for CSA scope.
• Coordinate closely with MEP teams to ensure integrated project delivery.

Governance & Risk Management

• Ensure compliance with project governance, procedures, and reporting standards.
• Identify and manage project cost risks proactively.
• Maintain transparency and accuracy in all cost management deliverables.

Role Summary 

As an Assistant Cost Manager for Data Centre Projects, you will support the delivery of cost management services across fast‑paced, service‑intensive environments. Working under the guidance of a Cost Manager or Senior Cost Manager, you will assist with cost planning, tender support, contract administration, and reporting activities.

Pre‑Contract Support

• Assist in preparing cost estimates, cost plans, and budgets for data centre projects.
• Support quantity take‑offs and rate analysis for MEP or CSA packages depending on background.
• Help prepare tender documentation, gather quotations, and support tender analyses and evaluations.
• Assist in compiling contract documents and supporting procurement activities.

Post‑Contract Support

• Help track project costs, monitor variations, and assist in change control procedures.
• Support preparation of monthly cost reports and updates for clients.
• Collect and verify data required for progress valuations and payment certifications.
• Coordinate with contractors and consultants to verify work progress and financial claims.

Governance & Coordination

• Maintain organised documentation, cost records, and audit‑ready files throughout the project.
• Assist in value engineering discussions and cost‑saving reviews.
• Support the project team by providing timely inputs during meetings, workshops, and client discussions.
• Ensure key information and learning from each project is uploaded into internal knowledge platforms.

Role Summary 

As an Assistant Cost Manager for Data Centre Projects, you will support the delivery of cost management services across fast‑paced, service‑intensive environments. Working under the guidance of a Cost Manager or Senior Cost Manager, you will assist with cost planning, tender support, contract administration, and reporting activities.

Pre‑Contract Support

• Assist in preparing cost estimates, cost plans, and budgets for data centre projects.
• Support quantity take‑offs and rate analysis for MEP or CSA packages depending on background.
• Help prepare tender documentation, gather quotations, and support tender analyses and evaluations.
• Assist in compiling contract documents and supporting procurement activities.

Post‑Contract Support

• Help track project costs, monitor variations, and assist in change control procedures.
• Support preparation of monthly cost reports and updates for clients.
• Collect and verify data required for progress valuations and payment certifications.
• Coordinate with contractors and consultants to verify work progress and financial claims.

Governance & Coordination

• Maintain organised documentation, cost records, and audit‑ready files throughout the project.
• Assist in value engineering discussions and cost‑saving reviews.
• Support the project team by providing timely inputs during meetings, workshops, and client discussions.
• Ensure key information and learning from each project is uploaded into internal knowledge platforms.

Role Overview

The Senior Cost Manager – Data Centre Projects will lead the delivery of full lifecycle cost management services across large‑scale, mission‑critical facilities. This role is responsible for ensuring robust commercial control, cost certainty, and strategic advisory across hyperscale data centre developments, including base build and fit‑out works.

You will act as a key commercial advisor, managing complex packages such as CSA, MEP, and specialist data centre systems, while working closely with clients, consultants, and contractors to drive successful project outcomes.

Key Responsibilities

Commercial Leadership & Cost Strategy

• Lead the development and management of project budgets, cost plans, and forecasting for data centre developments.
• Provide strategic cost advice on value engineering, procurement strategies, and cost optimisation.
• Establish cost control frameworks aligned with programme, risk, and delivery strategies.

Cost Planning & Pre‑Contract Services

• Oversee preparation of detailed cost estimates, benchmarking, and feasibility studies.
• Lead cost planning through concept, design, and pre‑construction stages.
• Challenge design solutions and propose alternatives to optimise cost, performance, and constructability in mission‑critical environments.

Procurement & Tender Management

• Develop and implement procurement strategies for CSA, MEP, and specialist systems (e.g. power, cooling, containment).
• Lead tender processes including tender documentation, evaluations, negotiations, and recommendations.
• Ensure commercial alignment across multiple contract packages and vendors.

Post‑Contract Cost Control

• Manage post‑contract activities including variations, change control, claims assessment, and cost reporting.
• Oversee contractor valuations and certify payments in line with contractual terms.
• Lead final account negotiations and project close‑out.

Stakeholder & Client Management

• Act as the primary commercial interface with clients, project teams, and key stakeholders.
• Present cost reports, forecasts, and commercial insights to senior stakeholders.
• Build and maintain strong client relationships, ensuring a high level of service delivery.

Data Centre / Technical Coordination

• Work closely with engineering teams to understand power, cooling, redundancy (Tier standards), and infrastructure requirements.
• Provide commercial oversight on critical systems including UPS, generators, chillers, CRAH/CRAC units, and structured cabling.
• Support alignment between design intent and cost efficiency in highly technical environments.

Team Leadership & Mentorship

• Lead and mentor Cost Managers and Assistant Cost Managers within the team.
• Review deliverables to ensure accuracy, consistency, and compliance with project standards.
• Support team development and capability building.

Governance & Risk Management

• Ensure compliance with internal governance, financial controls, and client reporting requirements.
• Identify cost risks early and develop mitigation strategies.
• Drive continuous improvement and knowledge sharing across data centre project

Job Summary

As a Senior Cost Manager, you will lead the delivery of cost management services for large-scale data centre and mission-critical developments, with a strong focus on MEP (Mechanical, Electrical & Plumbing) systems and high-value packages.

You will be responsible for driving cost control, commercial strategy, and financial performance across the full lifecycle of projects, ensuring alignment with programme, procurement strategy, and delivery objectives. This role involves leading project teams, managing complex stakeholder environments, and overseeing commercial aspects of technically intensive works.

Team Leadership & Development

• Maintain the highest standards of professional integrity and commercial governance
• Lead and mentor cost management teams across multiple packages, including CSA and MEP disciplines
• Drive team performance in fast-paced, high-value project environments
• Support recruitment, onboarding, and capability building within the team

Client & Stakeholder Engagement

• Act as the key commercial interface for MEP contractors, specialist vendors, and consultants
• Coordinate closely with design, engineering, and project management teams to align cost and technical requirements
• Build strong relationships with stakeholders across procurement, construction, and commissioning phases
• Manage and resolve commercial issues relating to variations, claims, and change control

Project Strategy & Planning

• Develop and manage detailed cost plans, benchmarking, and estimating for data centre projects
• Provide cost advice on MEP systems including HVAC, electrical infrastructure (UPS, generators), and ELV systems
• Support procurement strategies for major trade packages such as:
  • Mechanical systems (cooling, chillers, CRAH/CRAC units)
  • Electrical systems (MV/LV distribution, backup power systems)
  • Specialist data centre installations
• Lead value engineering and cost optimisation initiatives during design and pre-construction stages

Project Controls & Reporting

• Act as Commission Manager, taking ownership of end-to-end cost delivery
• Manage cost planning, cost reporting, and forecasting across all project phases
• Lead preparation of monthly cost reports, cash flow forecasts, and commercial updates
• Monitor cost vs budget, identify risks, and implement mitigation strategies
• Ensure robust change management and cost control processes are in place

Financial & Risk Management

• Lead commercial management of contracts including NEC, FIDIC, or equivalent forms
• Review and assess contractor claims, variations, and final accounts, particularly for MEP works
• Drive commercial negotiations with contractors and suppliers
• Oversee invoicing, cost tracking, and financial reporting to ensure compliance
• Identify and manage project risks related to cost, procurement, and delivery timelines

Our Data & AI Vision

We are building an AI-native data platform that:

• Unifies data across ecommerce, marketing, creators, and operations into a real-time, governed data foundation
• Moves beyond dashboards to deliver proactive, predictive, and prescriptive insights
• Enables AI-driven self-serve analytics for business users via natural language, copilots, and agents
• Powers autonomous decision-making and optimization across pricing, campaigns, inventory, and content
• Embeds machine learning and generative AI into core workflows (forecasting, recommendations, anomaly detection, content insights)
• Acts as the intelligence backbone of our internal tech platforms

Our current stack includes Google BigQuery, StarRocks, Airflow, DBT, Cube.dev (semantic layer), Looker Studio, and Apache Superset—and we are evolving this into a modern AI + data platform with real-time, ML, and agentic capabilities.

Role Overview

We are looking for a hands-on Head of Data & Analytics to lead the transformation from a traditional BI and data platform into an AI-driven intelligence platform.

You will:

• Own the end-to-end data, analytics, and AI strategy
• Build a platform that shifts the company from reporting → insights → actions → autonomous optimization
• Enable both internal teams and external clients with self-serve, AI-powered decision-making tools
• Partner closely with Product, Engineering, and Business teams to embed intelligence into every workflow

This role requires someone who is equally comfortable:

• Defining data + AI strategy at the leadership level
• Designing modern data and ML architectures
• Driving real business impact through insights and automation

Key Responsibilities

1. Data, Analytics & AI Strategy

• Define and execute the roadmap for an AI-native data platform aligned with Intrepid’s product and business strategy
• Evolve the organization from dashboarding → proactive insights → autonomous intelligence systems
• Identify and prioritize high-impact opportunities across ML, GenAI, and agentic workflows in ecommerce, marketing, and social commerce
• Drive adoption of AI-powered self-serve analytics and copilots across business teams

2. Data Platform, Architecture & Governance

• Own the design and evolution of the modern data stack, including:
• Data warehouse/lakehouse (BigQuery, StarRocks)
• Data pipelines (Airflow, DBT)
• Semantic layer (Cube.dev)
• BI tools (Looker Studio, Superset)
• Extend the platform to support:
• Real-time and streaming data use cases for social commerce
• Vector databases, MCP, and LLM integration layers
• Establish strong foundations for data governance, privacy, security, quality, lineage, and cataloging
• Ensure platform scalability, reliability, and cost efficiency

3. AI, Machine Learning & Intelligent Systems

• Lead the development and deployment of:
• Anomaly detection and automated insight systems
• Generative AI use cases (copilots, automated reporting, content insights)
• Recommendation systems (product, pricing, targeting)
• Predictive models (forecasting, ROAS optimization, churn, inventory planning)
• Drive adoption of LLM-powered analytics (NL2SQL, conversational BI, insight generation)
• Build foundations for agentic AI systems that can autonomously analyze, recommend, and act

4. Business Impact, Self-Serve & Team Leadership

• Transition from pull-based dashboards → push-based, actionable insights
• Enable business teams with:
• Proactive alerts, recommendations, and decision support tools
• Scenario simulation and planning capabilities
• Build AI-powered self-serve analytics experiences, reducing dependency on central teams
• Drive semantic layer adoption and metrics standardization across the organization
• Define and track impact metrics (e.g., GMV uplift, marketing efficiency, cost reduction, automation rates)
• Build and lead a high-performing data organization (Data Engineering, Analytics Engineering, Data Science, BI)

Foster a culture of ownership, experimentation, and AI-first thinking, partnering closely with tech and business functions

Experience & Domain Expertise

• 10+ years in data, analytics, and AI roles, with 3+ years in leadership
• Strong experience in ecommerce, marketplaces, martech, or digital platforms
• Proven track record building modern data platforms and scaling data teams
• Experience working in multi-country / SEA environments is a strong plus

AI & Data Expertise

• Deep expertise in the modern data stack:
• BigQuery, DBT, Airflow, real-time pipelines, semantic layers
• Hands-on experience with:
• Generative AI / LLMs (RAG, copilots, natural language interfaces)
• Experimentation frameworks and causal inference
• Machine learning (forecasting, optimization, recommendations)
• Familiarity with:
• Feature stores, MLOps, vector databases, and AI orchestration frameworks
• Strong understanding of data modeling, governance, and scalable architecture

Leadership & Ways of Working

• Proven ability to build and lead multi-disciplinary data teams
• Strong communication skills; able to translate complex data/AI concepts into business value
• Highly analytical and structured thinker
• Comfortable operating in fast-paced, ambiguous, high-growth environments
• Collaborative, pragmatic, and outcome-driven

Team Leadership & Development

• Support the development of junior team members by providing day-to-day guidance, sharing technical knowledge, and encouraging collaboration.
• Contribute to a positive team culture by promoting open communication, mutual respect, and shared accountability.
• Demonstrate professionalism, reliability, and a proactive attitude in team interactions.
• Assist in onboarding new team members and helping them integrate into project workflows.

Client & Stakeholder Engagement

• Coordinate with clients, consultants, contractors, and suppliers to ensure smooth project execution and alignment with objectives.
• Facilitate regular stakeholder meetings and reporting to maintain transparency and progress visibility.
• Build productive working relationships with internal and external stakeholders through consistent follow-up and responsiveness.
• Support conflict resolution and issue management by escalating appropriately and offering practical solutions.
• Assist in onboarding new team members and helping them integrate into project workflows.

Project Planning & Execution

• Lead overall project management to ensure quality, cost, statutory compliance, safety, environmental standards, and scheduling requirements are met.
• Manage the implementation of the master programme, including materials and long lead items, ensuring alignment with project milestones and delivery timelines.
• Update and maintain the master programme and ensure short-term programmes—such as weekly work plans, look-ahead schedules, and inspection timelines—are reviewed and communicated effectively to all relevant stakeholders.
• Plan and organize statutory inspections and ensure timely approvals.

Site Coordination

• Monitor progress and quality through regular updates and collaboration with site teams or contractors.
• Ensure safety standards and compliance are implemented across all project activities.
• Support effective project administration, including documentation, reporting, and issue resolution.

Stakeholder Management

• Oversee and manage external consultants and multidisciplinary teams to ensure their deliverables align with the project’s strategic objectives, timelines, and budgetary constraints.
• Act as the key liaison between internal stakeholders and external consultants to maintain clear communication and ensure consistent progress toward project milestones.
• Facilitate and lead regular project progress meetings with consultants and stakeholders, ensuring alignment with project objectives.
• Foster a collaborative team environment and promote knowledge sharing across the project team.

Project Reporting

• Produce comprehensive project reports that capture key updates, risks, decisions, and action items to maintain transparency and informed decision-making.
• Prepare and manage project schedules using appropriate tools such as Microsoft Project, Primavera P6, or Excel, including baseline setting, critical path analysis, and progress tracking.

Procurement Management

• Manage the full procurement process for consultants, including drafting scopes, evaluating bids, and negotiating contracts.
• Ensure all procurement activities comply with internal policies and governance & compliance frameworks.
• Support timely engagement and onboarding of consultants aligned with project needs.
• Work closely with internal teams and consultants to ensure procurement outcomes support project goals.

Job Description:
Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. 

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. 

What a Data Scientist, VCA does at Visa:
We are looking for a Data Scientist to join our VCA team in Malaysia. This role requires transforming raw data into actionable insights that drive business strategies, improve execution and performance of the full cardholder lifecycle. 

The ideal candidate will work closely with Visa’s clients to gather and manage project inputs, analyze data to form conclusions and recommendations, execute and analyze results to improve outcomes. 

Key Responsibilities:

• Lead, execute, and deliver data science projects for Visa's key clients. 
• Develop project scopes, methodologies, and implement solutions using appropriate tools. 
• Understand the Client’s current initiatives and priorities and align with key stakeholders.
• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. 
• Gather and analyze data from VisaNet (i.e., Visa’s transaction data), client’s owned data and 3rd party data sources to understand customer behavior, preferences and trends to help business develop business strategies, optimization activities and improvement of products, marketing techniques. 
• Maintain quality control and documentation for projects. 
• Innovate with Visa's and client data to meet needs. 
• Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact. 
• Independently develop and articulate a compelling storyline with clear insights and actionable recommendations for clients. 
• Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients. 
• Structure documents and project deliverables leveraging data insights and client inputs. 
• Foster thought leadership and innovation in data science. 
• Manage communication with clients and stakeholders. 
• Identify opportunities for innovation using new techniques. 
• Build visualization capabilities to address client problems. 
• Identify market trends through deep analysis of payment industry information. 
• Manage the transfer of technical knowledge for business solution implementation. 

Client Management: 

• Manage and take ownership of all data-related client deliverables and discussions 
• Navigating complex team dynamics 
• Work independently, seeking guidance as needed while ensuring ownership 
• Influence multiple teams they work with or lead

*This is a hybrid position, expectation of days in the office will be confirmed by your Hiring Manager. 

About GBG

Enabling safe and rewarding digital lives for genuine people, everywhere

We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.

About the team and role

We are looking for a Senior Data Engineering Manager who is deeply hands-on with technology and able to lead from the front. This role will lead teams delivering strategic AI initiatives that enhance and differentiate our Location products, combining large-scale data engineering with applied machine learning and NLP.

You will remain close to design and implementation, acting as a technical authority and coach, while also owning delivery, team health, and alignment to product strategy. This is not a purely managerial role — success requires strong technical judgement, architectural leadership, and the ability to guide teams through complex AI-driven systems in production.

What you will do

Senior Leadership & Organisation Design

• Act as hands-on technical leader for data and AI-driven Location platforms & services
• Set architectural direction for data pipelines, feature stores, and AI inference workflows
• Lead design reviews, make high-impact technical decisions, and unblock complex engineering challenges
• Stay close to code, tooling, and cloud architecture to maintain technical credibility
• Establish best practices for production-grade AI systems (performance, monitoring, reliability)

AI & Location Strategy

• Lead delivery of strategic initiatives applying AI and NLP to Location data and products
• Partner with Product and Domain experts to translate Location use cases into scalable AI solutions
• Guide teams on feature engineering, model integration, and inference at scale
• Balance experimentation velocity with production robustness and long-term maintainability

Platform & Delivery Ownership

• Own end-to-end delivery of data and AI pipelines on AWS
• Ensure systems meet expectations for latency, scalability, cost efficiency, and data quality
• Drive pragmatic technical trade-offs aligned to business priorities
• Define and track metrics for data freshness, model performance, and platform reliability

People Leadership & Team Growth

• Lead, mentor, and develop senior data engineers and applied ML engineers
• Build a culture of strong engineering fundamentals, curiosity, and accountability
• Support hiring and development of high-calibre engineers in Kuala Lumpur
• Create an environment where engineers can do their best technical work and grow

Stakeholder Collaboration

• Work closely with Product, Engineering, and AI stakeholders to shape roadmaps and priorities
• Clearly communicate complex technical topics to non-technical audiences
• Represent data engineering and applied AI in senior forums

Skills we're looking for

Technical

• Strong background in data engineering with applied AI/ML systems in production
• Extensive experience building cloud-native platforms on AWS
• Advanced proficiency in Python, including production data and AI pipelines
• Hands-on experience with NLP frameworks such as spaCy (or similar)
• Strong understanding of data modelling, feature engineering, and scalable inference
• Experience designing low-latency and high-throughput data systems

Leadership

• Proven experience leading engineers while remaining technically hands-on
• Ability to coach teams through complex architectural and implementation decisions
• Strong delivery ownership and bias toward execution
• Excellent communication and stakeholder management skills

Nice to Have

• Experience with geospatial or Location-based data
• Exposure to feature stores, vector search, or retrieval-augmented generation (RAG) systems
• Experience deploying AI models in regulated or high-availability environments
• Familiarity with MLOps practices (model versioning, monitoring, CI/CD)

To find out more

As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to [email protected] and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.

Unleash your potential and be part of our mission to power safe and rewarding digital lives.