Total 244 Manager data entry job vacancies

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

As the Software Engineering Manager for Enterprise Data Protection in Singapore, you will be the foundational lead for a new security team. You will act as a technical leader to hire and manage security engineers to establish our security engineering function. You will coordinate with peers in Enterprise Data Protection's software engineering team to achieve our risk reduction goals. You will lead and have the ability to drive security engineering outcomes, build and lead effective security teams, and foster a collaborative environment to achieve collective goals.

Qualifications

Job responsibilities

• Lead a team of software engineers to implement holistic security controls across all systems at Google that process or store our intellectual property.
• Work with a wide variety of cross-functional roles within Core or Privacy, Safety & Security (PSS) and with stakeholders in our Product Areas (PAs) to implement controls that prevent or reduce the risk of data ex-filtration events.
• Define the security requirements for the next generation of security controls that are context aware and help mitigate the risk of Google's increased use of agentic AI.
• Partner with security engineers within Enterprise Data Protection to define requirements for the systems and infrastructure needed to achieve our data protection goals, including AI-based classification systems.
• Build a team in Singapore that has excellent culture and engineering standards.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with building, deploying and using automation for security workflows, including both AI-driven and traditional automation tools.
• Experience in managing an engineering team, with knowledge of security domains, particularly in threat modeling and data protection controls.
• Ability to manage a phased program rollout, transitioning operational ownership and scaling technical infrastructure.
• Ability to partner with global stakeholders to align team goals with broader organizational objectives.

Your new company

A premier APAC data centre specialist seeking to hire a Procurement Manager – CAPEX (Data Centre Projects) x 2.

• 1 x Owner Supplied Equipment (OSE) category experience
• 1 x High Voltage (HV) category experience

Location: CBD

Duration: 6 – 12 months contract (ongoing)

Salary: up to $120K per annum(open for negotiation)

Your new role

• Manage the procurement of various categories within the CAPEX domain within Australia.
• Develop, execute and monitor to ensure on-time execution of tenders across multiple countries from supplier on-boarding, RFx initiation, pre-tender briefings, post-tender interviews and clarifications, proposal evaluations, negotiations, supplier recommendations till contract award.
• Achieve efficiencies through bidding, negotiation and strategic initiatives.
• Develop, lead and maintain measurable performance metrics including reporting tendering status, spend analysis, forecasting, lifecycle cost savings etc.
• Identify and onboard new vendors to ensure a reliable and robust supply chain in new and existing markets
• Understand customer requirements to establish and implement a robust procurement plan that deliver value to the business
• Understand trends in customers’ needs and concerns across categories and work with Category managers with a longer-term view.
• Work collaboratively with Category Managers to innovate within the procurement space, automating and/or improving tools or processes to better support the Procurement Lifecycle.
• Identify best practices or issues and implement solutions to ultimately improve procurement service delivery and strengthen stakeholders’ partnerships.
• Collaborate with suppliers to promote sustainable practices that reduces environmental impact and enhance social responsibility.
• Ensure procurement practices adhere to company’s sustainability policies and target
• Facilitate compliance with company’s supplier qualification process
• Provide inputs to support Supply Chain's optimization of the logistics function
• Partner with Supply Chain to build up materials management systems, processes, and tools
• Support the Supplier Relationship Management (SRM) Program through the development and scoring of supplier commercial performance KPIs, attending Supplier Business Reviews (SBRs) and delivering on any assigned action items

What you'll need to succeed

• Bachelor's degree in Engineering, Construction Management, Contract/Cost Management or Business Administration from an accredited university.
• 8+ years’ of relevant experience in a performing procurement related work, contract negotiation and bidding, with 5+ years managing CAPEX categories preferably in the Data Centre space.
• Demonstrated ability to prioritize workload, work with multiple technical and non-technical stakeholders across multiple functions to manage complex projects within cost and schedule to deliver results.
• Demonstrated ability to implement category strategies, develop pricing models, to influence and execute effectively across an organization.
• Excellent communication skills, both verbal and written.
• Highly proficient in MS Office
• Some travel may be required (<25%)

What you'll get in return 
This is an exciting opportunity to join a fast-paced MNC.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Ernie at Hays on +65 6424 0157 or emailErnieza.Zailani@hays.com.sg for a confidential discussion.

Referrals are welcome.

Registration ID No. R1329386 | EA License number: 07C3924 | Company Registration No. 200609504D

Roles & Responsibilities

Description of Division/Branch

The Ops insights and Analytics team under the Service Management Division (SMD) oversees and leverage data to inform operations policy and optimise operational efficiency. The team seeks to actively sense-make data and deep dive into data to identify trends and issues and recommend actionable insights. 

SMD oversees service coordination and effective implementation of KidSTART programmes nationwide.  We also oversee the service management of Hospitals and cross-regional partners/stakeholders. The ops insights and analytics team is a key pillar of SMD.  

Key Responsibilities

• Build and maintain relationships with key stakeholders across divisions and within SMD to understand business requirements and ensure the data environment serves SMD’s needs effectively e.g. via the data architecture, quality, designing the correct process or system set up to enable automated data collection and subsequent ease of retrieval and analysis.  
• Sense-make, deep-dive, coordinate, collect and manage operational data with KSL divisions and teams, ensuring data is consolidated, structured, and ready for analysis and reporting. 
• Analyse operational datasets and prepare insights reports to strengthen programme implementation.
• Design, develop and maintain operational performance monitoring tools to empower and facilitate SMD business units data-related work, including building dashboards to track key indicators such as service delivery trends, case management and manpower and resource utilisation.
• Maintain data governance practices for programme operations, including adherence to data standards, and supporting appropriate data access and usage in compliance with organisational and regulatory requirements.
• Ensure proper documentation of processes, reports verification, administration of SSNet Accounts, etc.
• Support the administration and tracking of division’s budget and operational planning to ensure effective and sustainable programme delivery.

Competencies

• Strong proficiency in data and analytics tools such as Excel, Power BI (preferred) and Tableau with experience in data manipulation, visualisation, applied statistical analysis. Familiarity with predictive or trend modelling will be an advantage.
• Minimum 3-5years’ experience working with data, operations or programme analytics. Experience in the social service, non‑profit, public or community-sector is an advantage but not a pre-requisite.
• Good working knowledge of data governance practices, including data quality framework, metadata management, governance standards and role-based access controls.
• Strong planning and problem-solving skills; demonstrates initiative and innovation in developing and improving operational or data-driven solutions.
• Meticulous and organised, with strong administrative, facilitation, communication and knowledge management skills, and the ability to translate data into clear and actionable insights for diverse stakeholders.
• Able to adapt to a fast‑paced, continuously evolving environment, and is confident navigating ambiguity when priorities or requirements shift
• Confident and collaborative team-player with strong interpersonal skills and ability to partner across different divisions.
• Familiarity with systems thinking, process automation tools (e.g. Robotic Process Automation), track record with applying AI tools effectively in service delivery, will be an advantage.

Role Accountabilities (What is this role responsible for delivering?)

• Define and execute a comprehensive data and AI strategy aligned with business objectives.
• Champion a data-driven culture across the organization.
• Lead the development of enterprise data platforms, ensuring scalability, security, and performance.
• Establish and enforce data governance frameworks, including data quality, lineage, stewardship, and metadata management.
• Ensure compliance with global and regional data privacy regulations (e.g., GDPR, PDPA).
• Oversee data risk management and audit readiness.
• Lead data teams, including data science to identify AI/ML opportunities, partnership with business partners.
• Ensure data readiness and infrastructure to support model development and deployment.
• Implement AI governance practices to ensure ethical, explainable, and responsible AI use.
• Lead the design and implementation of integration architectures. (e.g., APIs, event-driven systems, data pipelines)
• Drive modernization of legacy systems to support real-time and scalable integrations.
• Oversee the development and maintenance of data lakes, warehouses, and real-time data platforms.
• Ensure alignment with enterprise architecture and cloud strategies (e.g., Azure, AWS, GCP).
• Promote reusable data assets and self-service analytics capabilities.
• Collaborate with C-level executives, business leaders, and IT to align data initiatives with strategic goals.
• Drive change management efforts to embed data and AI into business processes.
• Communicate data value and insights to non-technical stakeholders.
• Build and lead high-performing teams across data engineering, integration, and governance.
• Foster a culture of innovation, continuous learning, and cross-functional collaboration.
• Develop talent pipelines and upskill teams in AI, data engineering, and integration technologies.

People Management

• Lead employees to meet the organisation's expectations for productivity, quality, and goal accomplishment.
• Provide oversight and direction to the employees in the team in accordance with the organisation's policies and procedures.
• Plan staffing levels and work with Human Resources to recruit, interview, select, hire, and employ the right people within budgetary guidelines.
• Coach, mentor and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities.
• Consciously create an engaging workplace culture that emphasizes the identified mission, vision, guiding principles, and values of the organisation.
• Lead employees using a performance management and development process including goal setting, feedback, and performance development planning.
• Empower employees to take responsibility for their jobs and goals. Delegate responsibility, drive accountability and provide regular feedback for continuous improvement.
• Manage and maintain effective employee work schedules including assignments, job rotation, training, vacations and paid time off, cover for absenteeism, and overtime scheduling.
• Maintain two-way transparent communication. Appropriately communicate organization information through department meetings, one-on-one meetings, and appropriate email, IM, and regular interpersonal communication.
• Deliver key people related activities in conjunction with the People Division that will lead to the enhanced engagement and retention of team members.
• Champions team collaboration by fostering an inclusive environment that encourages open communication and the sharing of ideas across all levels.
• Drives cross-functional initiatives by building partnerships and influencing stakeholders to achieve common goals without formal authority.
• Leads by example, demonstrating accountability, resilience, and a solution-oriented mindset to inspire others.
• Promotes the adoption of best practices by identifying process improvements and advocating for positive change within the team.
• Influences decision-making by presenting data-driven insights and articulating the team’s perspectives to management and other departments.
• Promotes a culture of recognition by celebrating team achievements and encouraging a sense of shared success.
• Supports the onboarding and integration of new team members, helping to build a cohesive and high-performing unit.

Crisis Management

• Make every effort to be aware of and understand your role in the event of a crisis.
• Make every effort to attend any relevant training, simulations and or meetings relating to Crisis Management.
• Perform your role as best as possible in a calm and collaborative manner in line with the relevant policy and procedures in the event of a Crisis.
• Provide input and feedback towards the ongoing improvement of the Crisis Management framework and procedure.

Key Qualifications & Skills (What knowledge will ensure success in the role?)

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Artificial Intelligence or related field.
• Master’s or PhD preferred for strategic leadership roles.
• 10+ years in data-related roles. (engineering, analytics, science, governance)
• 7+ years in leadership or strategic roles.
• 5+ years governance related experience.

Certifications (optional but valuable):

• Data Science & AI Foundations
  - Data Science Specialization – Johns Hopkins (Coursera)
  -AI for Everyone – Andrew Ng (Coursera)

• Professional Certificate in Machine Learning and AI – edX (MIT or Columbia)
  - Executive & Strategic AI
  - Oxford Executive Program in AI
  - MIT Sloan – Artificial Intelligence: Implications for Business Strategy
  - INSEAD – AI for Business
  - AWS/GCP/Azure Data Engineering or Architecture certifications
  - TOGAF (for enterprise architecture)

• Responsible AI & Governance
  - Responsible AI Certification – World Economic Forum / IEEE
  - AI Ethics and Governance – Singapore Management University (SMU
  - Certified Data Management Professional (CDMP)
  - PMP or Agile certifications (for project leadership)

• Proven track record of building and scaling data teams and platforms.
• Must be able to interact effectively across multiple levels of the organization.
• Strong problem-solving abilities, with a data-driven and analytical approach to process improvement.
• Excellent communication and interpersonal skills, facilitating collaboration between technical and non-technical stakeholders.
• Knowledge and experience in executive reporting.

Technical Skills

Data Architecture & Engineering:

• Designing scalable data platforms. (data lakes, warehouses, marts)
• ETL/ELT pipelines using tools like Apache Airflow, dbt, Informatica.

Cloud Platforms:

• Deep expertise in AWS, Azure, or Google Cloud.
• Services like Redshift, BigQuery, Snowflake, Databricks.

Programming & Tools:

• Python, SQL, Spark, Scala.
• Familiarity with R, Java, or Julia is a plus.

Data Governance & Quality:

• Master data management (MDM), metadata management.
• Data lineage, cataloging. (e.g., Collibra, Alation)

Analytics & BI:

• Tools: Power BI, Tableau, Looker.
• Experience with KPI frameworks and dashboarding.

Machine Learning & AI (if applicable):

• Model lifecycle management, MLOps.
• Experience with ML platforms. (e.g., SageMaker, Vertex AI)

Security & Compliance:

• GDPR, CCPA, HIPAA. (depending on industry)
• Data encryption, access controls, audit trails.

Professional Skills

Strategic Thinking:

• Aligning data strategy with business goals.
• Driving data monetization and innovation.

Leadership & Team Building:

• Hiring, mentoring, and managing cross-functional data teams.
• Fostering a data-driven culture.

Stakeholder Engagement:

• Communicating with C-suite, product, engineering, and business units.
• Translating data insights into business value.

Project & Change Management:

• Leading data transformation initiatives.
• Managing budgets, timelines, and vendor relationships.

Communication & Storytelling:

• Presenting complex data insights in a compelling way.
• Influencing decisions through data narratives.

Adaptability & Continuous Learning:

• Staying current with data trends, tools, and regulations.
• Encouraging experimentation and innovation.

By submitting your CV, you are deemed to have agreed and consent to the collection, use and/or disclosure of your personal data to the Company for the purposes of recruitment and employment only in accordance with the Company's Recruitment Data Privacy Policy on our website.

Swire Shipping is committed to ensuring equal equitable access and participation for persons who experience disability. SSL is committed to treating persons with disability in a way that allows them to maintain their dignity and independence. Reasonable adjustments can be made upon request based on understanding of those accommodations.

Across Swire Shipping, we seek to create a supportive and inclusive environment that embraces individuality and recognise the benefits that these differences make. We do this by ensuring that all individuals are treated with respect and understanding and actively promote Equal Employment Opportunity (EEO) and do not tolerate discrimination, harassment, bullying, retaliation or intimidation of any kind. We are committed to driving the strategy, policies and accountability to build and sustain a diverse global workforce, through equitable processes and systems where everyone can contribute their very best.

Job Description:

1. Must have experience in data centre deployments, building large-scale infrastructure.
2. Knowledge of network routing and switching concepts and protocols including BGP, TCP/IP, VLAN, ISIS, OSPF, and MPLS
3. Comfortable accomplishing basic tasks from Linux/Unix command line interface
4. Demonstrated ability to analyse complex situations and utilize troubleshooting skills, systems and tools, and creative problem-solving abilities under pressure.
5. Experience with Service Provider network hardware platforms and architectures including routers/switches and data center switching platforms is preferred (Good to have)
6. Experience with field-based work in data centers

On behalf of one of its clients, an Insights & Strategy Consultancy, the French Chamber of Commerce is looking for a Data & Insights Manager – Financial Services.

Our client is a premium subscription-based insights and data platform, partnering with leading luxury brands across multiple luxury verticals. The platform enables financial services players to better understand affluent and High Net Worth (HNW) consumers, strengthen client acquisition and retention strategies, and grow market share in highly competitive environments.

This role combines strategic consulting, client advisory, and business development, helping financial services clients unlock growth opportunities through high-value consumer insights.

Key Responsibilities

- Partner closely with Senior Directors to identify, scope, and structure consulting engagements, develop commercial proposals, and assess return on investment.

- Translate affluent and HNW consumer data into clear, insight-led strategic narratives that demonstrate measurable business impact for financial services clients.

- Play an active role in business development, upselling, and account expansion, contributing directly to revenue growth and repeat engagements.

- Present insights, strategic recommendations, and commercial implications to senior client stakeholders, including C-suite and regional decision-makers.

- Act as a trusted advisor and subject-matter expert during client meetings, workshops, and industry events in Singapore and the wider APAC region.

- Deliver high-impact insights, strategic frameworks, and actionable roadmaps tailored to banking, insurance, and wealth management organizations.

- Lead client workshops and training sessions to embed insights across marketing, CRM, digital, and product teams.

- Collaborate with project managers and cross-functional teams to ensure on-time, on-budget delivery of consulting engagements.

- Build and maintain strong, long-term client relationships, driving adoption of recommendations and measurable post-engagement outcomes.

- Contribute to the development and growth of the subscription-based insights and data offering for financial services brands in Singapore and APAC.

- Meet or exceed individual revenue and upsell targets, supporting sustainable account growth.

- Ensure high levels of client satisfaction, evidenced by strong post-engagement feedback and visible client action.

Requirements

• 8+ years’ experience in consulting, insights, analytics, or solution engineering within financial services.
• Strong consultative, storytelling, and presentation skills with senior stakeholders.
• Proven track record of meeting revenue, upsell, or utilisation targets.
• Experience leading client workshops and strategic sessions.
• Confident public speaker with international client exposure.
• Strong commercial mindset and ability to turn data into actionable recommendations.
• Collaborative and comfortable working with cross-functional teams.
• Willingness to travel across EMEA and APAC.

• EPCM Firm
• Data Centre Projects Preferred.
• Excellent Employee-Centric Environment

Our client, a renowned main contractor firm, has an opportunity for a Winner to join the Team as a M&E Assistant Manager

RESPONSIBILITIES:

• Lead the planning, coordination, and delivery of M&E projects within data centre environments, ensuring successful execution from start to completion.
• Monitor project progress, cost, and schedule, ensuring timely delivery within budget and project specifications.
• Prepare and present project reports, proposals, and documentation to stakeholders.
• Engage with clients to understand requirements, conduct technical reviews, and propose value engineering solutions.
• Ensure all works comply with local regulations, safety standards, and quality requirements.
• Track project risks and challenges, providing timely updates and implementing effective solutions.
• Supervise, mentor, and manage project teams and contractors to drive performance and accountability.

REQUIREMENTS:

• Minimum 7–10 years of relevant experience managing data centre construction or M&E projects.
• Strong understanding of project delivery, cost control, and scheduling within a construction environment.
• Good knowledge of local building codes, safety regulations, and industry standards.
• Strong communication, leadership, and stakeholder management skills.
• Possession of a valid Electrician’s Licence issued by the Energy Market Authority (EMA) is advantageous.

OTHER INFORMATION:

• Location: West
• Working hours: 5 Days
• Salary: up to S$10,000 and Bonus (Salary will commensurate according to experience & qualifications)
• Challenging, open, engaging, collaborative and creative environment
• The Company strives to achieve employee satisfaction by providing attractive staff benefits, welfare & training programmes to all staff.

HOW TO APPLY:

If you are a team player, meticulous & organized, and more importantly, believe that YOU CAN MAKE A DIFFERENCE, we would like to hear from you.

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to David Sia Yi Sheng (EA Personnel Reg. No. R1875905, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451) by clicking the “Apply Now” or contact David at 65909958 for a confidential discussion.

Please indicate the below information in your resume:

• Current & Expected salary
• Reason(s) for leaving
• Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

Notice:

We regret that only short-listed candidates will be notified. All applications will be treated with the strictest confidence.

By submitting any application or resume to us, you will be deemed to have read & agreed to the terms of our Privacy Policy, and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration, and for our marketing EDMs which you may opt out by unsubscribing in the mailer. You may refer and access our website at www.achievegroup.asia/privacy-policy/ for more information.

Cessation of Collection of full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

About the Team:

Shopee’s Data Infrastructure team builds the company’s stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform. Including data collection, storage, offline calculation of massive data, real-time stream computing, online analysis and processing, instant return query, and other aspects of data infrastructure support, as well as big data development, production scheduling, data quality monitoring, data maps, and other platform services. Provide the upper-level business team and data team with a basic platform for various technical directions such as computing scheduling, batch computing, real-time computing, structured data query, big data analysis, and KV query. Help business teams build data reports, data monitoring dashboards, real-time business data processing, data mining, and analysis, etc.

Job Description:

• Manage one of the Data Suite products, including but not limited to Data Map, Data Integration, Data Development, Data Management, Data Quality, Data Services, Data Metrics, Data Visualisation, etc.

• Responsible for requirements analysis, product design, product prototyping as well as product operation.

• Understand user needs and big data use cases, abstract complex requirements or scenarios into solutions, and implement them in the product to empower users.

• Develop and maintain user relationships and communication channels with users, synthesize product features from users’ requirements and feedback.

• Explore and continuously learn the best practices from the big data industry, and continuously plan the product blueprints in the long term.

Job Requirements:

• Bachelor’s Degree or higher in any field.

• At least 1 year of full time product management / technical product management experience.

• Prior experience with data-related products is preferred, as this role supports the Data Infrastructure team.

• Familiarity with the full data lifecycle, including management, development, and product application

• Excellent stakeholder management and cross-functional collaboration skills

• Strong logical thinking with a proactive, service-oriented mindset.

About the company
A leading financial services group with a strong global presence is looking to expand its regulatory and governance capabilities in Singapore. The organization is recognized for its commitment to excellence and long-term stability in providing comprehensive risk management solutions.

About the job

This is a critical senior position within the compliance division focused on spearheading the organization's data governance strategy and ensuring alignment with regional regulatory standards.

• Lead the end-to-end development and implementation of the corporate data governance framework, including all associated policies and standards.

• Establish robust data lifecycle protocols and classification schemes to ensure information is managed securely and efficiently across the business.

• Design and execute monitoring mechanisms to evaluate data quality and integrity across various enterprise systems and databases.

• Drive data literacy initiatives across all business units to strengthen organizational understanding of data control and management obligations.

• Collaborate closely with the Data Protection Officer and key stakeholders to assess risk levels and monitor the effectiveness of governance controls.

Skills and experience required

• At least 6 of specialized experience in data governance or data management within the financial services sector.

• Proven track record in developing and maintaining data governance framework, policies, and procedures.

• Strong analytical and project management abilities with a focus on resolving complex governance issues.

• Exceptional stakeholder management skills with the ability to provide advisory support to diverse business units.

To apply online please use the 'apply' function, alternatively you may contact Lynette Lim. (EA: 94C3609/ R1435181 )

Job Description & Requirements

Our client is a Global Service Solution Provider, this client pride themselves on firm commitment to the personal development of their employees. With an established branches in more than 60 countries.Where the regional HQs is in the United States, United Kingdom, and Singapore. And additional outlets in Japan, Germany, India, Australia, South Korea, Indonesia, Dubai, and Vietnam.

With a global customer base, this client seek bright and dynamic individuals to join their growing and expanding team. This team offer their employees opportunities to learn and grow in a dynamic and fast-paced environment.

What our Client is Looking For

• 10+ years of data center related experience in the APAC region with good understanding of Indonesia data centre market
• Proven track record in bringing in new customers and closing deals, ideally strong connections with Chinese enterprises and Chinese hyperscalers customers
• Strong business acumen with proven experience on managing P/L
• Experience with obtaining construction permits and liaising with government and energy agencies on obtaining necessary licenses and utilities.
• Experience with fast-track design/build projects and or multiple significant upgrade projects.
• Good understanding of data center site selection requirement and project development/ design and build mechanism.
• Experience in business negotiation with vendors, supplier, consultant and government agency.
• Possess leadership and problem-solving skills.
• Motivated and highly dependable, requiring limited oversight.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

• Role: Test Manager – Data Domain
• Job Requisition Number: TIS-001
• Job Level: 10-12 years of relevant experience (L4)
• Location: Singapore

Responsibilities

• Lead the understanding and interpretation of project delivery requirements from a testing perspective to ensure alignment with business goals.
• Manage and oversee daily delivery of test services provided by Bank-appointed vendors, ensuring quality and timeliness.
• Design detailed test cases from test scenarios using functional knowledge of the Financial Service Data Model (FSDL) domain to validate data integrity and processes.
• Collaborate with test service providers and bank stakeholders to plan and coordinate all testing-related activities for programs or projects.
• Communicate scope changes promptly to test service providers and adjust plans to mitigate impact on testing schedules and deliverables.
• Serve as the primary escalation point for issues raised by bank stakeholders regarding testing service providers, facilitating timely resolution.
• Quantify, track, and report test statuses, service level agreements (SLAs), and key performance indicators (KPIs) to ensure testing transformation targets are met.
• Participate in forums to contribute ideas and drive innovation in testing transformation initiatives.
• Establish and maintain effective working relationships with Vendor Test Managers and Test Leads across relevant domains to foster collaboration and knowledge sharing.

Required competencies and certifications

• 10-12 years of experience in test management activities.
• 8-10 years of experience in Banking with expertise in Financial Service Data Model (FSDL).
• 5+ years of experience with Teradata, Data Warehouse, ETL processes, and SQL.
• Experience with QuerySurge automated testing tools or equivalent automation skills.

Preferred competencies and qualifications

• 8-9 years of experience in Data Migration testing projects for cloud or on-premise databases.
• Ability to work independently with clients, demonstrating proactivity and self-management.
• Skills in soliciting and eliciting client needs and requirements.
• Knowledge of project management and software development methodologies.
• Industry experience in the banking domain is advantageous.
• Familiarity with programming languages and SQL to support defect triaging and automation efforts.
• Exposure to scripting languages used in test automation.

The Integration Manager is responsible for coordinating the technical infrastructure and system‑integration activities required to transition a constructed facility into a fully operational data centre. The role ensures that ICT infrastructure, critical systems, and cross‑discipline interfaces are delivered in a coordinated, compliant, and timely manner.

• Oversee delivery and integration of ICT and technical fit‑out works in line with approved designs and project plans.
• Coordinate interfaces across engineering, security, and supporting disciplines to enable seamless system integration.
• Validate technical installations against design requirements and readiness criteria.
• Support build‑readiness, commissioning preparation, and handover activities.
• Manage integration risks, issues, and dependencies, driving resolution across stakeholders.
• Coordinate contractors, vendors, and suppliers, ensuring clear accountability and alignment.
• Support logistics planning, equipment delivery, staging, and sequencing activities.
• Provide regular status updates covering progress, risks, and key milestones.
• Support change control, programme coordination, and critical‑path management.
• Facilitate cross‑team collaboration and communication throughout delivery and commissioning phases.

We are seeking a highly skilled Data Engineer with 5+ yrs experience who brings strong technical expertise in data processing, analytics, cloud platforms, and dashboarding, along with the ability to collaborate effectively with cross functional teams and deliver end to end analytical solutions.Skills & ResponsibilitiesAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights, identify trends, and support strategic decision making.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute queries in BigQuery for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate data ingestion.Support scheduled data pipelines using Apache Airflow to ensure timely and reliable data delivery.Design and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement clarification, data validation, iterative development, and final reporting.Work with cloud data platforms—preferably GCP—to support scalable data architecture and analytics.Apply Big Data, data modeling, and optimization techniques to design efficient data pipelines using ETL tools.Utilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.

The Lead Data Engineer will drive the design, development, and optimization of scalable data solutions that power analytics, reporting, and strategic decision making across the organization. This role requires deep technical expertise, strong problem solving skills, and the ability to guide teams in building robust data pipelines, analytical datasets, and data driven applications. The ideal candidate combines hands on engineering capability with leadership in architecture, quality, and cross functional collaboration.Key ResponsibilitiesData Engineering & Pipeline DevelopmentAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights and support strategic decisions.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute BigQuery queries for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate ingestion.Support and enhance scheduled pipelines using Apache Airflow to ensure timely, reliable data delivery.Apply Big Data, data modeling, and optimization techniques to design efficient, scalable ETL/ELT pipelines.Analytics & VisualizationDesign and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement gathering, data validation, iterative development, and final reporting.Cloud & Architecture LeadershipWork with cloud data platforms—preferably GCP—to architect scalable, secure, and high performance data solutions.Lead best practices in data engineering including version control, CI/CD, data quality, and performance tuning.Cross Functional CollaborationPartner with business, product, and analytics teams to translate requirements into technical solutions and ensure alignment with organizational goals.Mentor junior engineers and contribute to establishing engineering standards, documentation, and reusable frameworks.Web UI & Application SupportUtilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.Collaborate with frontend and platform teams to integrate data workflows into user facing tools and internal applications.Preferred Qualifications10+ years of experience in data engineeringStrong expertise in SQL, Python, Pandas, PySpark and distributed data processing.Experience with GCP (BigQuery, Cloud Storage, Composer, Dataflow) or equivalent cloud platforms.Experience in Tableau or Power BI for building dashboard and reports.Proven ability to lead complex data initiatives and drive architectural decisions.Experience working in Agile environments with cross functional teams.

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740