Total 256 Manager data entry job vacancies in Singapore

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Additional job description

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Google is transforming how hyperscale data centers are planned, designed, and built from custom, stick-built, multi-year construction monoliths to manufactured, modular, just-in-time deployments of fungible capacity. The Product Development and Insertion (PDI) organization under Data Center Technology and Systems (DCTS) is the execution arm of the development of such fungible capacity. PDI, working alongside the different pillars within DCTS, drives and provides ownership of the various products and programs that will enable the future modular technology for Google Cloud.

Qualifications

Job responsibilities

• Execute scope for cross-functional product development of new products and programs. Guide products through the product lifecycle process.
• Work with upstream and downstream partner teams across data centers, specifically, supply chain, construction and execution teams, hardware and software operations to help execute successful product insertions.
• Lead the site intercept process quickly assesses specific data center sites for their ability to adopt emerging design configurations. Align, plan and deliver Data Center design delivery.
• Develop and execute tech insertion cut-in framework that defines the point of no return for design changes based on construction schedules and supply chain lead times.
• Orchestrate executive decision support and reporting and process optimization (speed to plan). Execute scope for cross-functional product development of new products and programs, stretching to address undefined challenges with limited guidance.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in data center engineering and product design.

Preferred qualifications

• Certifications like Managing Successful Programmes (MSP)/Management of Risk (MOR).
• Experience in technical and product program management.
• Experience managing risk of product and programs, implementing mitigation plans.
• Ability to influence cross-functional team members and stakeholders.
• Ability to navigate ambiguity and succeed at a fast pace of change.

Not looking for just a job?
Looking for a role where you can learn fast, earn based on performance, and grow into leadership?

At UpSails Marketing, we develop individuals into future leaders through real sales experience, structured mentorship, and a clear progression pathway. If you’re driven, competitive, and ready to challenge yourself, this opportunity is built for you.

What You’ll Be Doing

• Represent clients through face-to-face sales and marketing campaigns

• Engage customers and deliver confident, impactful presentations

• Track your performance and continuously improve your results

• Work closely with a high-energy team to achieve sales targets

• Progress into team leadership and campaign management roles

Who We’re Looking For

• Driven individuals who are goal-oriented and results-focused

• Confident communicators who enjoy interacting with people

• Fast learners who take initiative and ownership

• Individuals who thrive in performance-based environments

(No experience required — full training provided. Attitude matters more than background.)

What You’ll Gain

• 1-on-1 mentorship and structured training

• Uncapped, performance-based earnings

• Fast and clear career progression into leadership roles

• Opportunities for local & overseas exposure

• A competitive and supportive team environment

Why Join Us?

This role isn’t for everyone.

But if you:

• Want to grow faster than your peers

• Are willing to step out of your comfort zone

• Prefer results to determine your success

Then this could be your stepping stone into something bigger than just a job.

Apply Now

If you’re ready to build skills, income, and real career momentum, apply today and start your journey with UpSails Marketing.

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.

About 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 a Data Analyst within the AI & Data team in our Singapore office. This role is offered on a flexible full-time basis.

Your key responsibilities:

• Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
• Create informative and interactive dashboards and reports in Power BI, Qlik or similar tools to meet the needs of the business.
• Write advanced SQL queries for data manipulation and retrieval from relational databases.
• Develop and optimize data models within the dashboarding tool for reporting and analytics.
• Perform data extraction, transformation, and loading of large and complex data sets from various source systems.
• Ensure data quality and integrity by implementing data validation and testing within ETL processes.
• Monitor ETL jobs, troubleshoot any issues, and perform performance tuning to improve data processing.
• Stay current with the latest technologies and best practices in data engineering and business intelligence

Skills & attributes for success:

• Experience of data-driven organizational transformation supported by data insights and good story telling
• Experience in business intelligence, data warehousing/platform, or data strategy projects
• Experience in ETL development and Data Analysis
• Knowledge and experience in data governance, data security, and privacy practices
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

To qualify for the role, you must have

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 year of experience as a Data Analyst with experience in ETL development and data warehousing.
• Prior experience with Azure Data Factory, including building and optimizing data pipelines, is preferred.
• Strong proficiency in writing and optimizing SQL queries.
• Expertise in popular commercial BI tools, such as Power BI, Qlik.
• Familiarity with data governance, data security, and privacy practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively with both technical and non-technical team members.

Ideally, you’ll also have

• Dashboarding experience with Power BI, Qlik or equivalent tools
• Experience in engaging with both technical and non-technical stakeholders
• Consulting/Professional Services experience and background, including engaging directly with clients

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 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 team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What working at EY offers

EY offers a competitive remuneration package 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. 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.

Company description

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

Job Purpose

· This role drives the development and successful implementation of a highly effective global sector product for DGF AFR.

· Collaborate with the Global Sector Product Head, Regional Airfreight Head, and Country Product Heads to align the sector product strategy for the region.

· Take ownership of market and sector knowledge, leading the sub-function for the sector product within DGF.

· Provide input and lead the implementation of the functional strategy to develop segment strategies and business plans.

· Enhance the performance of sector and industry management, supporting business growth objectives in accordance with industry and market needs, division strategy, objectives, and Group guidelines and policies.

· Own operation excellence deliverance by providing guidance to the country and stations teams.

Key Responsibilities

Sector Product Strategy:

· Define sector product strategy in alignment with the overall product strategy, objectives, and policies.

· Drive operational plans, measures, and budgets to achieve defined results for the sector.

· Execute and implement the sector strategy and roadmap in relevant geographies.

· Produce, coach, and develop global win plans for the sector community and opportunities.

Product Development:

· Identify key trends in the industry and collaborate with stakeholders to develop innovative solutions.

· Establish global sector-specific infrastructure and operations together with regional or country teams.

· Establish commercial and operational guidelines and processes to drive product growth & margins.

· Monitor competitor activities, develop segment strategies and business plans for the sector.

· Provide high-level advice within the sector and regions to counterparts globally.

· Stay updated with sector-specific regulations and standards and communicate any changes or updates to relevant teams.

Sector Business Development:

· Serve as the senior point of contact for sector-related customers or shipments within the community.

· Lead, organize, and control highly strategic business activities and product initiatives.

· Support business development, account management, and sales activities for the specific sector.

· Participate in business development opportunities, including QBR and RFQ activities, for the sector.

· Direct the development of marketing plans, determine research priorities, recommend sales channels, and provide direction for product promotion.

Operational Excellence:

· Identify areas for improvement and implement strategies to enhance operational efficiency and effectiveness within the sector.

· Foster a culture of continuous improvement and best practices sharing across the sector and industry management.

· Implement performance metrics and KPIs to monitor and measure operational performance, ensuring alignment with defined goals and objectives.

· Collaborate with cross-functional teams to streamline processes, optimize resources, and enhance overall operational performance.

· Identify and mitigate operational risks within the sector, ensuring compliance with industry regulations and standards.

Product Quality& Compliance:

· Develop and implement quality controls and compliance measures to ensure adherence to sector-specific regulations, standards, and guidelines.

· Establish and monitor processes and procedures to ensure product quality and consistency across the sector.

· Conduct regular audits and assessments to identify areas of non-compliance and implement corrective actions.

· Collaborate with internal stakeholders to ensure that sector operations meet all applicable compliance requirements.

· Provide guidance and support to the sector in maintaining a high level of quality and compliance in all operations

Qualifications & Key Requirements

• Bachelor’s Degree or equivalent
• Minimum of 8 years of experience in forwarding and/or sector-related companies.
• Extensive experience collaborating with global, regional, and country organizations to successfully implement solutions.
• Proven track record of achieving sector growth in terms of revenue and gross profit.
• Ability to navigate and excel in a matrix organization structure.
• In-depth knowledge and experience in freight forwarding and the logistics industry.
• Strong understanding of logistics infrastructure and service providers.
• Expertise in the sector industry, with a deep understanding of its dynamics and operational requirements.
• Demonstrated customer facing sales capabilities and a solid track record in the sector industry.
• Strong project management skills, with the ability to successfully lead and execute projects.
• Excellent knowledge of main markets and local regulations related to sector commodities.
• Fluent in English, with strong communication and language skills.
• Able to lead and manage teams of experts across multiple countries and from multiple cultures.
• Commercial and operational problem-solving mindset.
• Willingness to travel.

COMPANY DESCRIPTION

MINDS has been caring for Persons with Intellectual Disabilities (PWIDs) and their families since 1962.

Grounded in the belief that all PWIDs have innate abilities and talents, MINDS is committed to empowering them and enhancing their quality of life, while advocating for greater inclusivity for PWIDs as a nation.

MINDS is today one of the largest charities in Singapore employing more than 850 staff. With the key focus to expand community-based services, improving the employability of PWIDS, strengthening education, and engendering inclusive community living, MINDS offers a holistic range of services and programmes across the PWIDs' lifespan.

These include schools, employment and training development centres, home-based care services and community-based services to cater to the physical, psychological, environmental and social needs of PWIDs. For more information, please visit www.minds.org.sg.

RESPONSIBILITIES

The Senior Manager is responsible for implementing and maintaining processes and systems that support strategic finance and staff data initiatives and operational service delivery. He/She evaluates the effectiveness of finance and staff information systems and liaises with various departments to understand data reporting requirements. He/She also sets objectives for data analysis, improves analytical models where necessary, and proposes dashboards to track key performance indicators and measure impact.

The Senior Manager adopts an analytical and methodical approach to addressing issues, expected to leverage on systems thinking and artificial intelligence to enhance finance and staff systems and processes, and is at ease working with technical systems and data, and able to derive and communicate insights in a compelling manner.

He/She shall also work closely with internal stakeholders and vendors on the Planning, Development, Data Migration, User Acceptance Testing, Training and Implementation of finance and staff management systems, which also include adherence to compliance and governance controls.

Implement finance and staff management systems

• Identify strategic and operational needs for finance and staff managements systems
• Synthesise organisational requirements and budget constraints
• Present business case for new system implementation or system enhancements to senior management
• Conduct Request for Proposal (RFP) process for finance and staff management systems
• Evaluate available management systems and vendors to recommend a suitable option
• Determine system functionalities and customisations to be incorporated in management systems
• Design implementation plan for management systems
• Lead implementation and roll-out of management systems
• Ensure implemented management systems meet compliance and governance requirements

Internal Stakeholders and Vendor Management

• Ensure organisation requirements for finance and staff management systems are met
• Manage Internal stakeholders and Vendor requirement by providing & proposing technical solutions when necessary.
• Build productive relationships internally and externally with both Finance/HR and vendors by keeping them updated on activities and status.
• Support User Acceptance Test
• Support training for End Users
• Liaise and Collation of Data for Data migration from existing systems to new systems

Acumen in finance and HR-related activity

• Analyze Finance and HR requirements and propose solutions / opportunities for automation.
• Evaluating and implementing necessary tools/processes to help maintain data integrity within Finance and HR processes.

Information Technology

• Work with Ops Tech team to ensure management systems are able to run seamlessly within and outside of Virtual Desktop Infrastructure environment; and
• Security matters relating to Network / Data / Password etc are in-line with IT policy and control guidelines

Data, AI & Automation

• Support development and execute a data strategy including data governance, architecture, quality, and accessibility across departments.
• Directly drive execution of the development and adoption of:
• Data integration, master data management (MDM), advanced data analytics and data development practices.
• Generative AI related initiatives to ensure ethical use, enhance knowledge management, client communication, and productivity
• Robotic Process Automation (RPA) to streamline repetitive processes such as reporting, compliance tracking, and client administration.

• Good degree in Information Technology or Human Resource Management.
• At least 3 years of relevant working experience in Project Management, managing end-to-end of a HRIS project.
• Candidate should be familiar with HR processes, software and tools, and Cloud infrastructure environment.
• Knowledge of database systems, Software as a Service (SaaS).
• Excellent communication, negotiation, and interpersonal skills both written and verbal.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA 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 a Data Engineer within the DnA team in our Singapore office. This role is offered on a full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 6 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

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 now.

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

Join PwC's Cybersecurity & Privacy practice in Singapore as a Data Security Manager. We are seeking an experienced professional to guide top-tier clients, mentor a growing team, and serve as a subject matter expert. This role bridges the gap between technical implementation, strategic advice, and regulatory compliance, focusing on Data privacy regulations such as PDPA, modern DLP and data classification technology, and secure cloud architecture. 

Key Responsibilities 

• Lead data security engagements from strategy and roadmap development to final delivery. 

• Architect and advise on technical controls, including: 

• Data Discovery & Classification 

• Data Loss Prevention (DLP) 

• Encryption technologies and Key Management 

• On Premise and Cloud data security  

• Translate regulatory requirements (such as PDPA, GDPR and other regional / global regulations) into actionable technical and operational controls. 

• Mentor, coach, and develop junior consultants, fostering their careers and building team capability. 

• Support business development by building client relationships and contributing to proposals. 

Required Experience & Skills 

• 7+ years in cybersecurity with a focus on data security and protection. 

• Expertise and experience in Data Protection regulations is required. 

• Proven client facing and project delivery experience, preferably in professional services. 

• Experience with data security technologies: Data Classification, DLP, Encryption, IAM, data security in cloud platforms (AWS, Azure, and GCP). 

• A passion for mentoring and developing teams. 

Preferred Qualifications 

• Tertiary degree in a relevant field (e.g., IT, Cybersecurity, Computer Science). 

• Certifications such as CISSP, CISM, CIPP, CDPSE. 

• Cloud security certifications (AWS, Azure, GCP). 

• Experience in Financial Services (MAS requirements), Technology, or Public Sector. 

• A track record of contributing to business development efforts.

Job Description: Lead Data EngineerRole OverviewWe are looking for a Lead Data Engineer to design, build, and scale our data automation and ingestion capabilities. This role will play a critical part in shaping how data is collected, processed, and operationalized across the organization.You will lead the development of scalable, reusable data collection and processing systems using Python-based pipelines, APIs, and workflow-driven automation primarily focussing on data automation, pipeline reliability, and production-grade model execution.This is a hands-on role for an experienced data engineer who enjoys building robust systems, improving standards, and partnering closely with analytics, backend, UI, and data operations teams.Key ResponsibilitiesData Ingestion & AutomationDesign and develop scalable, reusable data ingestion systems using Python, APIs, web scraping, and file-based ingestion.Build and maintain data collection methods for diverse data types and sources, including APIs, Excel, flat files, HTML etc.Ensure ingestion pipelines are automated, fault-tolerant, and self-healing, minimizing manual intervention.Pipeline Integration & ExecutionIntegrate ingestion pipelines with enterprise data storage and processing layers.Leverage Decisions (workflow automation software) and internal workflow services to orchestrate and execute data transformation and manipulation workflows.Partner with internal platform and workflow teams to ensure pipelines run consistently at scale.Data Quality, Governance & StandardsDefine and enforce data quality checks, validation rules, and reconciliation logic across pipelines.Ensure strong data governance and cross-system alignment, working closely with backend, analytics, and UI teams.Establish and promote development standards, including Script and module structure, Logging, error handling, Unit testing and validation frameworksReduce technical risk and future rework through consistent engineering practices.Model Operationalization & Data Ops EnablementWork closely with Data Ops and Analytics teams to help transition Python-based models from: Analyst-led prototypesTo production-ready, scalable, and reliable operational modelsEnsure models can be executed efficiently within workflow-driven environments (e.g., Decisions), with proper dependency management, performance optimization, and monitoring.Enable end-to-end execution of data pipelines and models, supporting growing data volumes and increased execution frequency.Provide Technical leadership, Guiding design decisions, reviewing code and architectureRequired Skills & ExperienceSenior-level data engineer (typically 10+ years), with strong hands-on experience and the ability to lead and shape systems rather than just implement tasks.Strong hands-on experience with Python in production data engineering environments.Proven experience building data ingestion pipelines, ETL/ELT-style processes, and automation frameworks using code (not GUI-based tools).Strong knowledge of data manipulation and scraping libraries, including Pandas, NumPy, Requests, BeautifulSoup and Selenium (or similar browser automation tools)Experience working with APIs, authentication mechanisms, and structured/unstructured data formats.Solid understanding of data quality, validation, and governance practices.Experience designing pipelines that are Scalable, Reliable, Idempotent, Easy to monitor and debugFamiliarity with workflow-based execution and orchestration concepts.Strong ability to collaborate across teamsAbility to translate analytical needs into robust, production-grade data solutions.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA 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 a Data Engineer within the DnA team in our Singapore office. This role is offered on a full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

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 now.

• Position: Business Development Manager (Data Center Cooling / HVAC)
• Location: Boon Lay, Singapore
• Working Hours: Monday – Friday | 8.30am – 5.30pm
• Salary (commensurate on experience): Up to $5,500 Basic + Variable Bonus (Min 2 months, up to 5 months) + 16–21 Days Annual Leave + Medical
• Industry: HVAC / Data Center Cooling Solutions (MNC)

Main Responsibilities

• Identify and develop new business opportunities in the data center sector (hyperscale, colocation, enterprise) Promote chiller, CDU and FWU cooling solutions to owners, consultants and contractors
• Build strong relationships with key accounts and manage customer expectations
• Develop sales pipelines and drive opportunities from early design stage to project award
• Collaborate with sales, engineering, service and product teams to deliver integrated solutions
• Prepare customer proposals, technical presentations and solution recommendations
• Monitor project pipeline and update forecasts in internal systems
• Ensure projects comply with quality and EHS standards

Requirements

• Degree in Mechanical / Electrical Engineering or related discipline
• Minimum 3-5 years of experience in HVAC, data center infrastructure, cooling solutions, or related technical sales environment preferred
• Strong communication, negotiation and relationship management skills
• Ability to work with cross-functional teams in a matrix organization

Email me at joie@searchpersonnel.com.sg

 ***We do not charge our candidates nor bind them with any contract.***

 Joie Chang

 Deputy Consulting Director

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job Purpose:

The Assistant Manager, Data Management Centre (SSC), supports HR Shared Services by overseeing accurate data processing, maintaining compliance with audit and policy requirements, and ensuring timely delivery of employee-related transactions. The role leads a team in managing SAP data integrity, partners with internal stakeholders, and drives workflow improvements to enhance service quality and operational efficiency.

What You’ll Do:

• Lead & Oversee Daily Operations: Motivate and guide a team of officers to meet Service Level Agreements (SLAs) with Business Partners and deliver reliable HR data services.

• Manage HR Data & System Transactions: Ensure accurate, timely input of employee and company data in SAP, aligned with audit, compliance, and confidentiality requirements.

• Collaborate with Key Stakeholders: Work closely with Payroll, Business Units, GHR, and IS teams to support pay runs, address queries, and implement policy or system changes.

• Drive Process Improvements: Identify gaps, conduct root-cause analysis, streamline procedures, implement enhancements, and update SOPs and training materials.

• Support Governance & Reporting: Handle employee data requests, prepare reports, respond to audit queries, and ensure data integrity for internal and external stakeholders.

What You’ll Bring:

• Education & Experience:  Bachelor’s degree in business, Information Systems, or a related discipline — or a Diploma with 1–2 years of relevant experience, preferably in a Shared Services environment.

• Systems Knowledge: Hands-on experience with SAP or an equivalent HR Information System is an advantage.

• Communication Skills: Good oral and written communication skills, with the ability to interact professionally with stakeholders.

• HR Domain Knowledge: A thorough understanding of HR practices, policies, and procedures.

• Professional Attributes: Detail-oriented, discreet with sensitive data, and able to work both independently and in a team-based setting.

As the Head of Data Analytics at our leading AI company focused on self-developed multimodal large language models (LLMs), you will lead our data analytics team to drive end-to-end data strategy, governance, and insight generation across the entire lifecycle of our multimodal model R&D and commercialization. You will be responsible for building a robust AI-focused data analytics framework, leveraging advanced data science and machine learning techniques to transform raw multimodal data into actionable business and technical insights, and aligning data initiatives with the company's strategic growth goals. This role is critical to optimizing our multimodal model performance, accelerating product iteration, and enabling data-driven decision-making across all business functions.

Key Responsibilities

1. Develop and implement analytics techniques and applications to transform raw multimodal data (text, image, audio, video) into valuable insights using data programming languages and visualization tools.

2. Apply data mining, data modeling, NLP, and machine learning methods to extract and analyze information from large-scale structured and unstructured datasets.

3. Visualize, interpret, and present data insights and dynamic dashboards to technical and business stakeholders to support R&D and commercial decisions.

4. Lead, mentor, and scale the data analytics team; establish workflows, standards, and best practices for data governance, quality, and model evaluation.

5. Collaborate with AI research, engineering, and product teams to design data pipelines, evaluation metrics, and A/B testing frameworks for multimodal model improvement.

6. Oversee data collection, cleansing, labeling, and validation processes to ensure high-quality data assets for model training and fine-tuning.

7. Drive data-driven decision-making across the organization and align data initiatives with company AI strategy.

Qualifications

1. Master’s degree or higher in Engineering, Computer Science, Data Science, Information Technology, Statistics, Mathematics, or a related field.
2. Minimum 5+ years of professional experience in data science, data analytics, or a closely related role, with at least 2+ years in a leadership or managerial position.
3. Demonstrated experience working in AI, large language models, multimodal models, machine learning, or deep learning research/engineering environments.
4. Proficiency in data-oriented programming languages (Python, SQL), big data tools, and data visualization software.
5. Strong knowledge of machine learning, statistical analysis, data mining, NLP, and multimodal data processing.
6. Experience building and managing data teams, defining data strategies, and implementing data governance frameworks.
7. Excellent communication, presentation, and stakeholder management skills.

Job Description:

• To manage a team of supervisors, workers, sub-contractors and vendors to execute works within given timeframe.
• To resolve site issues with supervisors, sub-contractors, vendors, main contractors and/or related third parties.
• To co-ordinate site works, workflows and inspections with main contractors’ site representatives including attending site co-ordination meetings.
• To plan, implement and monitor weekly works activities with a team of supervisors in accordance to the master schedule.
• To monitor work progresses, productivities, qualities and materials usages and ensure those items meet the targeted schedule, productivities, qualities and within quantities.
• To enforce and monitor all supervisors, workers and sub-contractors abide to safety, health and environment rules and regulations.
• To prepare shop drawings, ‘AS-Built” drawings and Materials Bill of Quantities required for the project.
• To keep track, monitor and ensure timely submission of all shop drawings, materials and “AS-BUILT” drawings.
• To co-ordinate with main contractors and third parties on Combined Services Drawing (CSD) and resolve any clashes prior to construction.
• To attend all Tools Box meetings and all safety meetings.
• To implement Testing & Commissioning plan.

Job Requirements:

• Diploma / ITC certificate in Electrical Engineering with 3 years experiences. Those with more years of experiences will be considered for senior position.
• Building Construction Safety Supervisor course and any other WSH related certificates.
• Candidates with some MEP design experiences will be an added advantages.
• Must be a team player, perseverance, diligent, integrity and initiatives.

HOW TO APPLY:

Interested applicants, please click on “Apply Now”or submit your resume to ref70@trustrecruit.com.sg

Please include the following information:

-         Reason for leaving

-         Expected Salary

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed tosafeguarding your personal data in accordance with the Personal Data ProtectionAct (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Bong Cheong Leong (Alan)

EA Personnel Reg No: R25158271

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Key Responsibilities

Data Breach Investigations:

• Manage data breach investigations to identify system failures, technical negligence behind complex data failures
• Distill and present findings and recommendations from complex digital forensic methods and systems to internal stakeholders

Tech Intelligence and Innovation:

• Conduct research on vulnerabilities of existing systems and solutions
• Assess and evaluate emerging technologies and frameworks (such as quantum and AI) to ensure high standards of safety and utility
• Design and build functional prototypes for new utilities or technology assessments

Advocacy and Engagement:

• Develop technical materials and guides to help organisations ensure new products and services remain compliant and up-to-date
• Represent the organization in international and domestic technical forums
• Translate deep engineering findings into strategic recommendations for senior leadership and global standards bodies

Requirements

• 5+ years in a senior technical role (e.g., Solution Architect, Security Researcher, Privacy Engineer, or Digital Forensic Lead).
• Background in Computer Science, Computer Engineering, or a related field.
• A builder’s mentality - you are driven by technical curiosity and the desire to build a compliant-by-design future for Singapore.
• Keen interest to self-learn and keep up to date with development of data-driven technologies and impact of these technologies on industry and consumers.
• Ability to translate complex engineering, technical concepts and frameworks to a non-technical audience.
• Excellent problem-solving, analytical, and decision-making abilities.
• Certifications: Advanced technical certifications (e.g., CSPO, CHFI, SANS Cybersecurity, CIPT, CDPSE) are highly regarded.