Total 228 Manager data entry job vacancies in Singapore

Not Your Usual 9–5—Adventure Awaits!

As we expand, we are looking out for motivated and self-driven individuals to join our marketing team! We work closely with local brands to help execute campaigns through face-to-face marketing.

If you are someone who enjoys talking with people, working in a vibrant and energetic company, this role may be for you!

⚡Responsibilities:

- Promote products and services from clients
- Work with the sales and marketing team to achieve sales targets
- Ensure marketing campaigns are executed smoothly

⚡Who we are looking for:

- Willing to learn new skills with an open mindset
- Career paths with built-in travel
- Can work well in team orientated environment

⚡Career Perks:

Responsibilities

• Identify and develop new business opportunities in property development, particularly for data centre and logistics projects.

• Conduct market research to identify emerging property trends, potential land opportunities, and new clients.

• Perform outreach activities to generate leads and maintain follow-ups with potential partners.

• Build and maintain relationships with developers, investors, building owners, corporate clients, and industry stakeholders.

• Meet with prospective partners to understand their investment strategies and project requirements.

• Prepare and deliver business presentations and proposals to potential partners and senior management.

• Support negotiations and coordination with government agencies, financial institutions, and project stakeholders.

• Work closely with regional teams to ensure alignment of business strategies and smooth project execution.

• Ad hoc duties as assigned.

Requirements

• Bachelor’s Degree in Real Estate, Business Administration, Marketing, or a related field.

• Minimum 5 years of relevant experience in handling business development for property development, preferably with logistics center or data center-related projects.

• Good commercial awareness and analytical ability to identify new business opportunities.

• Familiar with government regulations, approval processes, and development procedures related to infrastructure or property projects.

Interested applicants for the above advertised position(s), please kindly click the APPLY button below or send in your updated resume to gs1@talenttradersg.com

EA License No.: 13C6305

Reg. No.: R24120209 (GAN CHYE SHEN)

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Responsibilities

• Develop and execute strategic account plans in collaboration with the sales team to grow key client relationships.

• Identify and pursue new business opportunities through market research, client outreach, presentations, and closing activities within assigned markets or territories.

• Build and maintain strong relationships with key stakeholders, understanding their business needs and providing value-driven solutions.

• Act as the main point of contact between internal teams and key clients to support agreements, service solutions, and account growth initiatives.

• Manage and maintain a pipeline of opportunities including renewals, new projects, and account expansion initiatives.

• Monitor customer engagement, track sales opportunities, and provide regular updates to management on account progress and business development activities.

• Collaborate with internal teams and partners to develop solutions that address client requirements.

• Engage with suppliers or partners where necessary to support solution development and delivery.

• Ad hoc duties / projects as assigned.

Requirements

• Degree or Diploma in Business, Sales, Marketing, or a related field.

• Proven experience in sales, account management, or business development, preferably from Data Center, IT Cloud Solutions industry.

• Good understanding of business strategy, sales planning, and client engagement practices.

• Comfortable with overseas business travel when required.

Interested applicants for the above advertised position(s), please kindly click the APPLY button below or send in your updated resume to gs1@talenttradersg.com

EA License No.: 13C6305

Reg. No.: R24120209 (GAN CHYE SHEN)

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

About Trust Data Science at LinkedIn
The Trust Data Science team powers the mission of creating safe, trusted, and professional experiences on LinkedIn through rigorous metrics, experimentation, and advanced data solutions. Measuring trust is inherently challenging as abuse is adversarial, ground truth is noisy, and outcomes are often long-tailed. We tackle these challenges using advanced statistical techniques to design and build robust, actionable metrics, make them experimentable, while building highly reliable, semantically rich data pipelines enabling data-driven decision making across the Trust organization. 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

About the role
We are hiring a senior engineering and data leader to lead our Trust Data Engineering Solutions team, a critical and strategic pillar of Trust Data Science at LinkedIn. This team owns the data foundations, platforms, and user facing tools that power Trust measurement, decision‑making, and AI‑driven workflows for the Trust R&D organization. 

This role sits at the intersection of data engineering, full‑stack development, and AI‑enabled analytics. It directly enables both human decision‑makers (data scientists, analysts, PMs, engineers and ops) and machine consumers (analytics agents, experimentation systems, ML and agentic platforms) to safely, reliably, and accurately drive data driven decisions. 

This is a high‑judgment leadership role: you will define how Trust data is produced, standardized, governed, discovered, and consumed - at scale and under real‑world constraints.

Responsibilities: What you and your team will own:

Trust data foundations

• Own the end‑to‑end strategy and evolution of Trust data foundations, including:

  • Canonical Trust metrics

  • Authoritative datasets (metrics, system data, telemetry)

  • Measurement‑critical pipelines used by Trust R&D org and external compliance reporting

• Architect and operate complex, multi‑system data pipelines spanning telemetry ingestion, transformation, ML based measurement, and serving

• Set and uphold explicit SLAs across latency, freshness, correctness, and availability, balancing speed with Trust‑grade reliability

Platform integration & ecosystem leadership

• Platformize Trust data by deeply integrating with:

  • Unified metrics and dimensional foundations

  • Experimentation and evaluation platforms

  • Analytics agents and GenAI‑enabled tooling

• Act as a technical partner and peer to trust foundations, data infra, ML infra and experimentation teams

Trust‑native tools & data democratization

• Lead the development of Trust‑native data products, including:

  • Dashboards and reporting surfaces

  • Data access APIs and services to LinkedIn wide data and agentic platforms

  • Internal data tools that lower the barrier to safe, correct data usage

• Democratize access to Trust data for analysts, data scientists, PMs, Engineers and Trust Ops, while maintaining appropriate guardrails.

• Enable agent‑based consumption of Trust data by making datasets and metrics discoverable, well‑annotated, and machine‑interpretable

Standards, governance, and context

• Establish and drive adoption of standards for telemetry, schema, metadata, and annotation across fragmented upstream systems

• Ensure Trust data carries the right context, definitions, assumptions, limitations, and lineage to support accurate retrieval and high‑stakes decisions.

People & org leadership

• Build, lead, and develop a high‑impact team of data and platform engineers

• Set a strong technical and cultural bar through architecture reviews, design rigor, and mentorship.

• Help grow senior ICs and future leaders within the Trust Data Engineering Solutions org

Key challenges your will help tackle:

• Fragmented and inconsistent Trust telemetry across multiple upstream systems

• Complex DAG orchestration with heterogeneous SLAs and dependencies

• Measurement pipelines that combine data engineering with ML models

• Making Trust data discoverable, explainable, and safe for both humans and AI agents

• Scaling platforms without sacrificing metric integrity

We are looking for an ambitious Marketing Executive to help us increase our clients‘ Brand awareness and Customer base through the promotion of their products and services at our event sites in Singapore.

As a member of our Marketing team, you will have room to advance your career. Our candidates receive 1-on-1 coaching/mentorship, continuous training and career guidance, travel opportunities, leadership opportunities to coach newcomers and fast tracked career advancement/growth.

Responsibilities

- Participate and ensure the successful execution of our events marketing campaigns

- Promote our products or services to existing and potential customers

- Work with the rest of the Marketing team to develop promotion strategies and oversee their implementation

Requirements

- Background in Sales, Marketing, or similar roles is a plus

- Open minded and willingness to learn

- Good communication and presentation skills is a plus

Candidates with no prior experience are welcome to apply

• Develop, implement, and maintain comprehensive HSE programs and policies tailored to high voltage substation construction activities.
• Ensure project is in compliance with relevant local and national health, safety, and environmental regulations, as well as the company standards and policies.
• To provide the best practice HSE solution on day-to-day monitor and report to maintain high HSE standards in the field.
• Conduct regular risk assessments and job hazard analyses to identify potential hazards and implement appropriate control measures.
• Conduct regular site inspections and audits to monitor compliance with HSE standards. Identify areas for improvement and implement corrective actions.
• to monitor and review the implementation of HSE standard at the high voltage substation construction site.
• Ensuring project meeting that we chair starts with a Health & Safety moment which we initiate through our dedicated Health, Safety, Wellbeing App
• Ensuring all employees, contractors, subcontractors and vendors on site have a requisite level of compliant safety training resulting in them having knowledge of high degree of hazard awareness.
• Adopting a collaborative approach to health and safety across the entire project team promoting safety accountability at all levels, including from the client and owner.
• Setting a zero-tolerance health and safety culture.
• Adopting health and safety assurance process emphasizes leading indicators, which are effective in the developing mitigations to risks on the project site
• Proactively undertaking site supervision of works activities to address safety concerns or identified risk activities.

Key Responsibilities

• Lead and manage Data Center infrastructure projects, ensuring alignment with client goals and business needs.
• Oversee all project activities, including resource allocation, procurement, and scheduling, to ensure timely and efficient execution.
• Supervise project teams, ensuring collaboration across various departments and external vendors to meet project objectives.
  Serve as the primary point of contact for clients, providing regular updates on project progress, risks, and resolutions.
• Manage scope changes, ensuring alignment with client requirements, project timelines, and budgets.
• Proactively identify project risks and develop mitigation strategies to minimize impacts on timelines and budgets.
• Manage project budgets and schedules, ensuring resources are allocated appropriately and projects stay on track.
• Work closely with the Procurement team to manage vendor relationships and ensure timely delivery of resources.
• Maintain accurate project documentation and prepare regular reports and presentations for stakeholders.
  

Required Skills and Experience

• Strong background in managing Data Center projects, including infrastructure setup (rack and stack, power/cooling, network setup).
• Familiarity with Data Center technologies such as server hardware, storage systems, network devices, and virtualization platforms.
• In-depth understanding of project phases from initiation to handover, with a focus on execution and delivery.
• Proven leadership skills with the ability to coordinate teams, resolve conflicts, and communicate effectively with clients and stakeholders.
• Experience in managing risks and scope changes to maintain project alignment with client needs and timelines.
• Skilled in managing project budgets, schedules, and resources.

As a Head of Data & AI AMEA, you will be accountable to lead the Data Strategy, part of Leadership Team for AI Transformation and responsible for Data & Insights Delivery teams for AMEA. Be the Business Partner to align Business Strategy & Priorities in different Domains (like Marketing, Pricing, Customer, Digital and Sales), shaping and influencing Data Strategy to Make Data Available, Visible and Actionable. It’s expected of you to align requirements between regional and global functions, leveraging Solutions and leading adoption and value realization.

Accountabilities

• Engage with Business Stakeholders, Global Head of Data & Insights Commercial and IT&D Leadership Team, in order to define and evolve AMEA Data & AI Strategy and Capabilities, delivering impactful and scalable solutions aligned with AMEA strategic agenda.
• Be part of IT&D AMEA Leadership Team, responsible for Data & Insights and co-leading AI Transformation.
• Represent AMEA as part of Global Commercial Data & Insights Leadership Team, having AMEA aligned and co-creating with AI Foundry, Data Strategy and Governance.
• Lead the Data Mesh Implementation and Data Governance for AMEA.
• Be part of strategic visioning of Data and AI Products.
• Develop a scalable leadership and delivery team of internal members and external delivery partners to accelerate the go-to-market of our Data, Insights and AI services.
• Identifies and help the client understand the Data & Insights and IT business model, value and value proposition.
• Solve product related problems, make decisions, complete trade-off analysis to stay on track towards business deliverable commitments.
• Work with external collaborators to integrate their complementary capabilities into our Data, Insights & AI deliveries.
• Manage Budget for Data & Insights in AMEA

Experience / Previous jobs required for the job

• Proven track record in successful managing Data & AI Strategy and delivery teams.
• Overall 5+ years of Data & Insights management experience, at least 3 years of Commercial domain expertise and understands /have experience with the related Commercial solutions and Data Mesh, AWS, Databricks, SFDC, etc.
• Experience implementing Data Strategy, Data Governance, AI Transformation, Data Monetization
• Experience leading teams in an agile matrix organization.
• Working with different levels of the organization (business and IT)
• Experience with Product Ownership methodology, gathering Business Requirements, defining personas, mapping information required, prioritizing the requirements based on LTO, value creation and business impact.

Our client is a well-established MNC and market leader in the data centre infrastructure sector. Due to their current expansion and build‑out plans for a multi-storey facility in the East, they are looking for a Project Manager – Data Centre to lead construction delivery.

Responsibilities:

• Lead end-to-end delivery of data centre build, from planning and permitting through commissioning and handover, ensuring timeline, budget, and quality targets are met.

• Manage and coordinate MEP scopes, structural works, and interfaces with tunnel-related works.

• Ensure compliance with Singapore statutory, safety, and building regulations (BCA, LTA, NEA) and advise project stakeholders accordingly.

• Prepare and review project schedules, cost reports, risk registers, and technical submissions; monitor progress and implement corrective actions.

• Oversee contractors, consultants, and suppliers; resolve technical and contractual issues; ensure site execution aligns with specifications and critical-system requirements.

• Liaise with internal and external stakeholders (local authorities, client teams, design consultants) to coordinate approvals, inspections, and interfaces.

Requirements:

• Degree in Civil/Structural/Mechanical/Electrical Engineering or related discipline.

• PMP and other relevant project management certifications.

• Familiarity with tunnel works and applicable regulations.

• Minimum 5 years’ experience managing large-scale infrastructure, commercial, or mission-critical building projects, preferably in data centre construction.

• Proven track record managing complex MEP coordination and site execution with multiple stakeholders.

• Experience managing multi-disciplinary teams and high-value project budgets

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

Job Title: Assistant Manager (Data | Tableau | 12 months)
Duration: 12 months
Salary Package: 3000-3450
Location: Mapletree Business City
Eligibility: Only Singaporean

Overview
The project is to build up "the company" capability in business intelligence (BI), particularly in the data analysis and developing insights on "the company's" grant recipients and projects. The temp will perform data cleansing activities on grant data, develop data pipeline on Government cloud, implementing enterprise Tableau dashboard, and establishing machine learning model.

Responsibilities

• Ensure deliverables and milestones are completed on time and on target
• Perform data extraction, transformation and load activities from existing systems/reports
• Develop and maintain enterprise Tableau reports
• Develop new python scripts and maintain existing scripts for analysis of high-risk grants
• Maintain documentation on data assets, architecture, transformation, and tools

Qualifications

• At least Bachelor’s degree in Data Analytics / Computer Science or equivalent 
• Prefer nternship experience as Data Analyst
• Can start on April 2026
• Competencies in Excel, Python, and Tableau (Desktop, Prep Builder, Server) 
• Goal-oriented, meticulous, and able to work independently 
• Guidance is provided, but you must be hands-on and unafraid to pick up new technical skills on the go 

Apply Now via MyCareersFuture
Only Qualified Candidates are Contacted

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In Ref: SS – JO-28279
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

Your Mission

This position bridge between business operations and IT, playing a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

What To Expect

[Project Leadership]

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.

[Data Architecture]

• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

What You'll Bring

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

The Role

Being part of global Strategic Analytics team, the role will help to undertake the collection, validation, and analysis of Pacific Life Re’s unique insurance data sources across offices globally. The role will be responsible for delivering projects for APAC region and the global markets Pacific Life Re operate in, developing innovative insurance solutions utilising advanced analytics and actuarial techniques.

The role will work closely with a variety of teams within Pacific Life Re and our subsidiary insurtech company UnderwriteMe, including R&D, Pricing, Underwriting, and Sales & Marketing. Given the nature of the role, engagement with third parties (e.g. academic institutions, clients, industry groups) will also be necessary to build partnerships and explore new sources of data and opportunities to innovate.

Duties

• Work on and lead analytics and actuarial projects for Pacific Life Re and UnderwriteMe clients - collaborating with clients and internal stakeholders on projects or research with innovative data utilisation and predictive modelling aspects,

• Support the integration of actuarial and data science techniques and insights derived from projects into broader R&D, including projects that link to developing cutting edge Terms of Trade and capital risk assumptions,
• Support product development efforts related to the above,
• Work with third parties and clients to identify and integrate new data sources which could improve risk and product propositions,
• Actively participate in research-related initiatives, sharing expertise at industry and PLRe events, and to lead analytics projects in conjunction with direct insurance companies and other partners,
• Help to upskill other APAC teams by conducting training and knowledge sharing related to predictive analytics, actuarial and data science

Qualifications & Experience

–  Bachelor degrees in statistics, mathematics, Actuarial Science, or related disciplines

–   Progress towards actuarial fellowship (e.g.,IFoA, SOA, or equivalent) is highly desirable

–    Strong mathematical background and experience relevant to developing statistical and analytic models, including the associated data preparations and data visualisations

–    Strong knowledge and experience in associated relevant tools (Python/R, SQL, Tableau, etc)

–    Minimum 7 years’ experience working in life insurance with a focus on actuarial/analytics role such as R&D, pricing, or experience analysis.

–   Previous experience conducting analytics projects within the broader insurance and reinsurance market

–   Working knowledge of the life insurance products and markets Pacific Life Re operates in - including product terms, pricing approaches, underwriting, and distribution

–   Experience with AWS or other cloud-basedin frastructure & tools

–  Sufficient data engineering and computer science knowledge to manage data projects end-to-end and help provide steer for related data management and IT infrastructure

–  Ability to work independently and incollaboration with a wide variety of stakeholders with differing technical backgrounds

–  Strong communication and presentation skills, particularly in explaining complex issues in clear terms,

–  Good organisational and project management skills,and the ability to manage multiple projects and various stakeholders simultaneously

–  Strong mentoring skills to develop and train junior members of the team

–   Enthusiastic, with a keen drive and focus

Job Summary:

The individual will:

• Lead and deliver end-to-end analytics projects across the Group Internal Audit (GIA) Group.
• Responsible for driving strategic AI/DA initiatives within GIA while delivering customised solutions tailored to the needs of individual Local Business Units (LBUs).
• Develop and enforce baseline analytics objectives and standards across GIA Group to expand and enhance audit coverage using data analytics.

Roles and Responsibilities:

• Lead DA Projects: Drive end-to-end delivery of DA initiatives across the GIA Group, ensuring alignment with GIA objectives.
• Collaborate with LBUs or specialist audit teams to develop and implement tailored DA solutions for individual LBUs, addressing unique business challenges.
• Identify opportunities to help and work across the business units (within GIA and with the other departments) to optimise the audit operational processes through DA.
• Conduct regular reviews of analytics activities performed by LBUs to maintain group-wide quality benchmarks.
• Develop the GIA DA Specialists’ capabilities and support them in building data analytics expertise within local business units and specialised audit teams.
• Prepare GIA DA projects update to management and Audit Committee.

Minimum Job Requirements:

• Bachelor or master’s degree in Data Science, Computer Science, Data Analytics, Statistics, Mathematics, or a related field.
• Eight years of experience in building data analytics solutions related role preferably in audit, risk, compliance department, or control functions.
• Proven track record of leading large-scale AI projects and delivering production-ready solutions.
• Strong experience with data engineering will be an advantage.
• Demonstrate strong proficiency in SQL, Python, and leading visualisation tools to deliver actionable insights.
• Possess deep expertise across the data lifecycle, from data engineering to analytics, visualisation, and automation.
• Strong understanding of cloud platform (azure) and databricks will be an advantage.
• Superior communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.
• Excellent analytical skills.
• Strong project management skills will be preferred.
• Self-motivated and good team player who is committed to achieve results.
• Ability to adapt to changes quickly and multi-task.
• Exhibit curiosity and proactivity, continuously exploring emerging tools, methods, and ideas to foster innovation and transformation.

• Location: Pasir Panjang
• Work Schedule: 8.30am - 6.00pm (Mon-Thu) & 8.30am - 5.30pm (Fri)
• Salary: $3,450
• Duration: 1 year

Key Responsibilities:

• Monitor and ensure projects and deliverables are completed on schedule.
• Extract, transform, and load data from existing systems and reports.
• Build and maintain enterprise Tableau reports and dashboards.
• Develop new Python scripts and update existing ones for analyzing high-risk grants.
• Maintain comprehensive documentation of data assets, architecture, processes, and tools.

Job Requirements: 

• Minimum a degree in Data Analytics / Computer Science or equivalent
• Competencies in Excel, Python, and Tableau (Desktop, Prep Builder, Server)

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Loh Pui Yee (Emily) - Outsourcing Team
ScienTec Consulting Pte Ltd – 11C5781

Job Summary

The individual will:

• Develop and implement advanced analytics and AI solutions across the GIA Group.
• Responsible for driving strategic AI initiatives within GIA while delivering customised solutions tailored to the needs of individual Local Business Units (LBUs).
• Design, deploy, and maintain scalable, production-ready machine learning and Generative AI (GenAI) models across the GIA Group that enhance audit efficiency and effectiveness.

Roles and Responsibilities:

• Lead AI and Data Science Projects: Drive end-to-end delivery of AI and machine learning initiatives across the GIA Group, ensuring alignment with GIA objectives
• Collaborate with LBU t or specialist audit teams to develop and implement tailored AI solutions for individual LBUs, addressing unique business challenges
• Identify opportunities to help and work across the business units (within GIA and with the other departments) to optimise the audit operational processes through AI
• Establish and maintain minimum standard for model deployment, monitoring, and lifecycle management
• Conduct user testing, gather feedback, and iterate on AI solutions
• Develop the GIA DA Specialists’ capabilities and support them in building data analytics expertise within local business units and specialised audit teams
• Keep abreast of emerging AI technologies and trends, providing strategic recommendations to enhance the GIA’s analytics capabilities
• Ensure all AI solutions adhere to regulatory, ethical, and data governance standards
• Prepare GIA AI projects update to management and Audit Committee

Minimum Job Requirements:

Experience/Qualifications

• Bachelor or master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Eight years of experience in building data science/GenAI solutions related role preferably in audit, risk, compliance department, or control functions
• Proven track record of leading large-scale AI projects and delivering production-ready solutions
• Strong experience with GenAI workflows, MLOps/LLMOps, and CI/CD will be an advantage

Knowledge

• Proficiency in Python, SQL skills, and familiarity with AI frameworks and tools
• Expertise in MLOps tools and practices
• Strong understanding of AI/ML concepts and Generative AI frameworks
• Strong understanding of cloud platform (Azure) and Databricks will be an advantage

Other skills

• Superior communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels
• Excellent analytical skills
• Strong project management skills will be preferred
• Self-motivated and good team player who is committed to achieve results
• Ability to adapt to changes quickly and multi-task
• Exhibit curiosity and proactivity, continuously exploring emerging tools, methods, and ideas to foster innovation and transformation