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.

• 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

Job Description

Data Warehouse Project Manager is responsible for leading the end-to-end planning, implementation, and maintenance of data pipelines, ensuring that data is accurately extracted, transformed, and loaded (ETL) from diverse sources into a central data warehouse or data lake

. This role bridging technical teams and business stakeholders focuses heavily on data quality, validation, and automation, specifically in the ingestion of flat files, APIs, and databases

Key Responsibilities

• Project Planning & Execution: Define project scope, create project plans, manage milestones, and ensure delivery within budget and timelines
• Data Ingestion & Pipelines: Oversee the construction and maintenance of robust ingestion pipelines to move data from databases (RDBMS/Cloud Data Warehouses) and flat files (CSV, JSON, XML) into data lakes/warehouses.
• Data Quality & Validation: Establish data profiling and verification procedures to catch schema drift, data errors, and duplicates during ingestion, ensuring data integrity
• ETL/ELT Processes: Collaborate with data engineers to design and optimize data extraction, transformation, and loading routines using tools like Informatica IDMC, IBM Data Stage, Talend, or Apache Airflow. 
• Stakeholder Management: Liaise with business users and technical teams to gather requirements, report status, and address risks. 
• Vendor/Resource Management: Manage third-party vendors and internal teams, including staff allocation and work direction.

Required Skills & Qualifications

Experience: 5–8+ years of experience in data warehousing or data engineering project management.

Data Technologies: Proficiency in cloud data warehouses (Databricks, Snowflake, Azure Synapse) and ETL/ingestion tools (INFORMATC/ DataStage).

Technical Skills: Strong understanding of SQL, data modeling (Kimball/Inmon), data profiling, and orchestration platforms.

Project Methodologies: Experience with Agile/Scrum or Waterfall project management methodologies.

Education: Bachelor’s degree in Computer Science, Information Systems, or a related field

MEP Cost Manager – Aviation / Airport / Data Center Projects

Location: Singapore
Employment Type: Permanent
Sector: Aviation / Infrastructure / Data Centers / Large-Scale Developments

About the Role

An international project and cost management consultancy is seeking an experienced MEP Cost Manager to support a major airport infrastructure project. The role focuses on the commercial management of complex MEP systems across large-scale aviation works, working closely with clients, consultants, and contractors throughout the project lifecycle. Similarly, we are looking for the same Cost Manager for Data Center as well.

This is an excellent opportunity to work on a high-profile, technically challenging project within a structured, professional consultancy environment.

Key Responsibilities

• Provide pre‑ and post‑contract cost management services for MEP (Mechanical, Electrical & Public Health) works
• Prepare and manage cost plans, estimates, budgets, and cash flow forecasts for airport projects
• Evaluate MEP designs and specifications to ensure cost efficiency, value engineering, and buildability
• Manage tendering, procurement, tender analysis, and contract award recommendations
• Assess interim valuations, variations, change controls, and final accounts for MEP packages
• Coordinate closely with design consultants, contractors, and client stakeholders
• Produce regular cost reports and risk assessments aligned with client governance frameworks
• Support commercial negotiations and dispute avoidance where required

Requirements

• Degree in Quantity Surveying, Engineering, Building Services, or related discipline
• 6–12+ years of experience in MEP cost management or commercial management
• Strong project experience in airports, aviation infrastructure, data centers, or large complex developments
• Proven background within a consultancy / professional services environment
• Solid understanding of MEP systems, contracts, and procurement strategies
• Experience managing large MEP packages and interfacing with multiple stakeholders
• Strong reporting, communication, and stakeholder management skills

What’s on Offer

• Stable pipeline of major infrastructure projects
• Structured consulting environment with clear processes and governance
• Regional / international project exposure (depending on profile)

Contact: Keith Ng (Lic. No R2093574 / EA No. 16S8194)

Join the Data Innovation & Protection Group (DIPG) and play a key role in strengthening Singapore’s position as a trusted and innovative data hub. We are looking for an independent, self‑driven professional with strong technical foundations and a passion for shaping the future of data governance and technology.

Key Responsibilities

Data Breach Investigations

• Lead investigations into complex data breaches to uncover system failures or technical gaps.
• Analyze and distill digital forensic findings into actionable insights for internal stakeholders.

Technology Intelligence & Innovation

• Research vulnerabilities and assess the robustness of emerging technologies such as AI and quantum solutions.
• Evaluate new frameworks and develop prototypes to support technology assessments and policy development.

Advocacy & Stakeholder Engagement

• Develop technical guides and materials to help organizations ensure compliance in product and service design.
• Represent the organization in local and international technical forums.
• Translate complex engineering insights into strategic recommendations for senior decision‑makers and standards bodies.

Who We’re Looking For

• 5+ years in a senior technical role (e.g., Solutions Architect, Security Researcher, Privacy Engineer, Digital Forensics Lead).
• Strong background in Computer Science, Computer Engineering, or related fields.
• A builder’s mindset with curiosity and commitment to designing compliant-by‑design digital ecosystems.
• Strong ability to communicate technical concepts to non‑technical audiences.
• Advanced certifications (e.g., CHFI, SANS Cybersecurity, CIPT, CDPSE) are a bonus.

Working location: South Central Sg

All Curriculum Vitae will be treated with strict confidentiality.

By sending us your personal data, you are deemed to consent to RMA Consultants Pte Ltd and its affiliates collecting, using and disclosing your personal data for the purposes set out in our Data Protection Policy at http://bit.ly/3GHgskn and Privacy Policy at http://bit.ly/3W63rp7.

If you are keen to know more about this role, pls email leticia.liow@rmagroup.com.sg and send your resume in MS Word format. Note that only shortlisted candidates will be contacted.

Leticia Liow EA License No. 93C4403

EA Regn. No. R1433182

Product area

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. 

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. 

Additional job description

As the APAC Strategy and Operations (StratOps) Manager, you will serve as the lead advisor to the APAC Regional Director, responsible for integrating regional operations and driving business cadence and decisions. This role entails designing, building, and leading the regional functions that enable the organization to scale effectively and navigate expansion complexities.

A primary responsibility will be to partner closely with Central Operations and peers in other regions to define and build the strategic pillars within the APAC Strat Ops function to eliminate duplication and free up management capacity. You will work to ensure the regional model is robust, scalable and globally aligned.

Qualifications

Job responsibilities

• Design and own the APAC operating cycle, managing financial reviews, key performance indicators (KPI) tracking, and executive-level reporting.
• Partner with global teams to implement core pillars for analytics, operational excellence, and regional resilience.
• Drive regional operational simplification and manage the framework for governance, risk, and global standard exceptions.
• Oversee new site activations and construction starts by implementing standard playbooks to ensure regional operational scale.
• Direct the regional financial strategy (operational expenditure/capital expenditure) and workforce planning to maintain organizational health and budgetary control.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in program management, strategy planning, or business operations.
  
  
• Experience working in a data center construction delivery, or similar mission-critical operational environment.

Preferred qualifications

• Experience in designing and building new operational or strategic functions, preferably in a global, matrixed environment.
• Experience managing multi-million dollar operational expenditure/capital expenditure budgets and complex workforce models.
• Experience leading large-scale, cross-functional business transformation and change management programs.
  
• Experience working in the APAC region, with an understanding of its unique operational and cultural dynamics.
• Proven track record of managing operations through periods of significant scaling or business transformation.

About the Role

We are seeking a driven and detail-oriented Data Center Infrastructure Project Manager to lead the delivery of mission-critical projects in Singapore.

This role suits someone who thrives in a fast-paced environment and brings hands-on experience managing data center infrastructure deployments from initial planning through to final client handover.

Key Responsibilities

• As a key project lead, you will take full ownership of project execution and delivery:
• Lead end-to-end delivery of data center infrastructure projects
• Engage clients early to define project scope, requirements, and technical solutions
• Plan and coordinate logistics, including shipping, material readiness, and site preparation
• Oversee on-site implementation, including:

1. Rack installation
2. rPDU deployment
3. Hot and cold aisle containment systems
4. Cable tray and structured cabling works
5. Cage installation
6. Access control systems and CCTV

• Act as the primary point of contact between clients, vendors, and data center operators
• Provide regular progress updates and maintain clear stakeholder communication
• Monitor project timelines, quality standards, and risk factors to ensure smooth execution
• Lead testing, commissioning, and final acceptance and handover processes

Qualifications and Experience

• Proven experience delivering data center infrastructure or fit-out projects
• Strong technical knowledge of racks, rPDUs, containment systems, and cable management infrastructure
• Ability to independently manage projects with a high degree of ownership and accountability
• Detail-oriented with a structured approach to project execution and quality assurance
• Strong communication and coordination skills across multiple stakeholders
• Proactive problem solver with the ability to operate effectively in dynamic environments

Requirements

• Bachelor’s degree in Engineering, IT, or a related field preferred
• PMP certification is highly preferred
• Fluency in English and Mandarin, both written and spoken, is mandatory

Product area

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Job description

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Additional job description

In this role, you will be a key individual contributor responsible for driving initiatives that discover, classify, and protect Google’s most sensitive internal information. Working closely with the established Product Management Lead for this space, you will bridge the gap between complex security requirements and high-velocity engineering execution. You will serve as the advocate for the customer (Googlers and leads of organizations within Google like YouTube, Workspace, and more). You will be tasked with enabling and accelerating risk reduction by performing deep customer research to understand internal workflows. This insight will directly inform your GTM strategy, ensuring that security controls and policies "lands" effectively, with high adoption and minimal disruption to Google’s velocity.

Qualifications

Job responsibilities

• Conduct deep-dive user research, interviews, and surveys with internal teams (Engineering, Sales, Finance, etc.) to understand their data workflows and pain points.
• Use customer insights to design and execute GTM plans for new security controls. Ensure that "landings" are informed by user reality, reducing friction and preventing "security fatigue."
• Identify and drive product workstreams that measurably reduce data security risks across Google’s internal infrastructure.
• Own the end-to-end adoption lifecycle of security policies. Translate technical mandates into clear, empathetic communications and low-friction user experiences.
• Collaborate closely with the Product Management Lead for enterprise data protection to align your workstreams with the broader security goal and multi-year roadmap.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in product management, with a focus on enterprise security, data privacy, or internal infrastructure.
• 2 years of experience conducting user research or customer discovery, and guiding product roadmaps and Go-To-Market (GTM) strategies.

Preferred qualifications

• Master's degree in a technology or business related field.
  
• 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  
• Experience implementing complex technical changes or policies across large organizations through effective change management.
• Ability to use qualitative research and quantitative telemetry to advocate for the user and influence security engineering priorities.
• Ability to build security products, by applying UX principles to technical infrastructure.
• Knowledge of data classification, encryption, and zero trust/BeyondCorp access models.

Responsibilities:

• Manage project lifecycle, from requirement, design, technical construction, testing, acceptance, training, documentation and implementation, in accordance with the Project Management Process and Methodology.
• Participate in pre-project activities such as estimation of project efforts, preparation of high level project plan with project timeline and resource requirements, and staffing and organization of project team.
• Plan, coordinate and communicate project plan, timeline and activities to the project team.
• Monitor and track progress of projects and stay on top of the projects to ensure smooth execution.
• Manage and coordinate project deliverables, ensuring their quality and configuration management.
• Coordinate closely with external vendors and business units to ensure timely delivery and alignment with contractual commitments.
• Facilitate technical discussions, and implementation checkpoints in collaboration with IT architecture, operations, security, and compliance teams.
• Analyse and highlight project risks and develop necessary risk mitigation plans.
• Analyse and highlight project dependencies to pre-empt project issues.
• Support UAT coordination, production readiness assessments, cutover planning, and post‑implementation verification activities.
• Provide regular project status updates, dashboards, and reports to project sponsors and the Program/Project Steering Committee (PSC).
• Escalate issues and risks that cannot be resolved at the project team level in a timely and structured manner.
• Promote best practices in project delivery, risk management, and vendor coordination across the initiative portfolio.
• Highlights any potential concerns /risks and proactively shares best risk management practices.
• Ensure projects comply with enterprise governance, regulatory, security, and resiliency requirements, including DR, backup, and audit readiness.
• Manage project resources and task allocation, ensuring optimal utilization and clear ownership across teams.
• Drive post‑go‑live stabilization, lessons learned, and handover to operations and support teams.

Requirements:

• Bachelor’s degree in IT, Computer Science, Engineering, Business Management, or equivalent with 10+ years of experience in Project Management.
• 10+ years of overall IT project management experience, with proven delivery of complex, multi‑stream initiatives across infrastructure, data, and analytics platforms
• Strong understanding of enterprise project management frameworks (Waterfall, Agile, Hybrid) and familiarity with ITIL or IT Service Management (ITSM) practices
• Experience in managing projects involving big data platforms, analytics tools, cloud environments, disaster recovery, and security/compliance initiatives
• Experience in the Insurance or Financial Services industry is a strong plus
• Demonstrated capability in vendor management, including coordinating with system integrators, product vendors, and augmented resources.
• Proficient in Microsoft Office tools (PowerPoint, Excel, Word) for project reporting, steering committee updates, and documentation.
• Experience in using Agile and project tracking tools such as JIRA, Confluence, or similar platforms.
• Strong experience in managing project schedules, dependencies, risks, issues, and resource allocation across multiple concurrent initiatives.
• Excellent stakeholder management and communication skills, with the ability to engage effectively with technical teams, business users, and senior leadership.
• Strong problem‑solving, analytical, and decision‑making skills, with a focus on delivery quality and timelines.
• Ability to work independently while also leading cross‑functional teams in a matrixed enterprise environment.
• Working knowledge of Cloudera Big Data Platform, AWS Cloud, Dataiku, and Protegrity Platforms is a strong advantage.

We are seeking a highly motivated individual with a strong foundation in statistics, data management, and Artificial Intelligence (AI)-related technical competencies to contribute meaningfully to patient care and hospital operational excellence.

In this dynamic role, you will work extensively with complex healthcare datasets, employing advanced statistical methodologies and machine learning techniques to surface insights that drive impact. You will design and develop predictive models and AI/ Machine Learning (ML)/Deep Learning solutions to support clinical and operational needs, alongside implementing automation to enhance workflow efficiency.

Beyond analytics, you will lead and coordinate data-driven and digital strategic initiatives, uphold data quality and governance standards, and translate insights into actionable recommendations that support management decision-making. You will also identify opportunities for process improvement to advance patient care delivery, collaborating closely with internal and external stakeholders in a fast-paced and innovation-driven environment.

Requirements :

• Recognised STEM degree with 2 years of relevant experience.

• Proficient in Python, R, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).

• Skilled in M365 apps (Power Apps, Access, Excel, Word) and automation tools (UiPath, VBA).

• Strong in statistical analysis, forecasting, simulation modelling, and operations research.

• Experience with ETL, unstructured data handling, and dashboard development.

• Knowledge of text analytics, clustering, machine learning, and AI project management.

• Strong analytical, problem‑solving, and communication skills.

• Team player with a positive, meticulous, and resourceful approach.

• Able to work independently with good time management and a drive for continuous learning.

• Healthcare experience is an advantage.

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

Target start date: 3-4th week of April 2026

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 
• 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-C
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

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