Total 786 Information Technology job vacancies

We are looking for Senior Consultant/ Associate Manager, Data Governance Expert from Banking Industry for a Permanent role with our Client.

Responsibilities:

• Act as the subject matter expert for data governance, collaborating closely with the Finance team in Singapore and engaging with stakeholders across Data Management, Risk Management, and IT.
• Lead execution of data governance initiatives by breaking down complex activities into actionable deliverables such as KDE identification, EUC inventory and criticality assessment, data aggregation process mapping, and implementation of data lineage systems.
• Apply prior experience and practical knowledge from past data governance projects to design effective solutions and drive successful outcomes.
• Develop and manage project plans with clear milestones, governance structures, and defined roles and responsibilities.
• Integrate Company’s project management methodology with the bank’s operational practices to ensure plans are both strategic and executable.
   

Requirements:

• Bachelor's degree in any related fields.
• Minimum 5 years of experience in data governance or data management roles within a financial institution, preferably banking.
• Proven ability to work in complex, multi-stakeholder environments involving business, IT, compliance, and vendors.
• Strong documentation skills using PowerPoint, Excel, and Word.
• Solid project management skills, including progress tracking, issue and risk management, and stakeholder coordination, experience preparing and delivering reports or presentations to senior management or executives and good stakeholder management and communication skills are a plus.
• Proficiency in business-level English across reading, writing, listening, and speaking will be beneficial for liaising with key stakeholders.
• Strong understanding of regulatory reporting, internal reporting, finance/accounting business processes, and related systems.
• Familiarity with data lineage concepts and tools (e.g. Collibra or similar platforms), understanding of finance and accounting business processes, regulatory reporting, and related systems are a plus.
• Prior collaboration with risk management and finance/accounting departments on external and internal reporting activities is highly beneficial.
• Ability to prepare and present clear, structured executive reporting.

The Chief Data & Analytics Office (CDAO) at JPMorganChase is pivotal in advancing the firm’s data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially valuable outcomes across the APAC markets and businesses.

As a Data & AI Platform Product Manager – Associate within the APAC Chief Data & Analytics Office, you will support the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will help translate APAC business, regulatory, and user needs into clear requirements, well-structured backlog inputs, and measurable adoption outcomes. You will partner with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to help ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets.

Job responsibilities

• Support APAC technical product discovery with business sponsors, end users, client technology teams, Customer Success, and Business Adoption to identify high-impact Data & AI platform opportunities

• Build and maintain understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business

• Help triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and draft clear problem statements and success criteria

• Gather and document APAC-specific platform requirements across functional, data, integration, access/entitlements, controls, and user experience needs, including user journeys and acceptance criteria

• Translate data governance, AI governance, risk and control expectations into platform capability requirements (e.g., approvals, guardrails, lineage, auditability, evidence capture), with guidance from senior partners

• Contribute to defining non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness)

• Maintain the APAC technical product backlog (e.g., writing/refining epics and stories); ensure requirements are clear and ready for engineering feasibility assessment, sequencing, and dependency mapping

• Support prioritization discussions by preparing inputs on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility for APAC CAO/CPO and intake forums

• Provide structured APAC inputs into global/regional platform roadmaps, helping balance regional needs with global strategy to avoid unnecessary fragmentation

• Track adoption/usage and delivery outcomes; help convert learnings into backlog improvements and product documentation updates

• Communicate status, priorities, and trade-offs to stakeholders; support the creation of product briefs and decision materials for governance and leadership forums

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field

• 5+ years of experience in product management, technical program delivery, platform/product operations, data/AI platforms, enterprise technology products, or related roles

• Working understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption)

• Ability to translate business problems, regulatory requirements, and technical constraints into well-structured requirements, user journeys, and acceptance criteria (with support where needed)

• Technical fluency across data flows, APIs, platform concepts, integration patterns, and technical documentation; comfort discussing non-functional requirements with engineering partners

• Experience partnering with engineering teams to clarify requirements and support delivery, while maintaining focus on the “what/why/for whom”

• Sound judgment and ability to weigh trade-offs across value, urgency, feasibility, risk, and platform strategy with guidance from senior product leaders

• Experience in financial services or another regulated environment (preferred but not required if you demonstrate strong risk/control mindset)

• Strong stakeholder management and collaboration skills across product, engineering, risk, controls, and governance partners

• Strong written and verbal communication skills, including drafting product briefs, requirement documents, and prioritization recommendations

• Ability to work through ambiguity, structure problems, and drive alignment across regional and global stakeholders

Preferred qualifications, capabilities, and skills

• Exposure to enterprise data platforms, AI/ML platforms, cloud analytics platforms, data marketplaces, internal developer platforms, or internal user platforms

• Experience in a CDAO/data office, analytics/AI function, platform product organization, or enterprise transformation program

• Experience supporting platform adoption across multiple countries, Lines of Business, or regulated jurisdictions

• Familiarity with data governance, data quality, lineage/metadata, access management, and AI/model governance expectations

• Experience defining requirements for APIs, data products, workflow tools, self-service platforms, analytics capabilities, or AI/ML enablement platforms

• MBA, Master’s degree, or advanced technical/product qualification (a plus)

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=b2ef3b8bb386dac0b39f5d84a74d450e

Location: Pasir Panjang

Working Hours:
Mon - Thu: 8.30am to 5.00pm
Fri: 8.30am to 4.00pm

Salary: Up to $5,500/month

Job Responsibilities:

• Perform monthly cost analysis and budget variance reviews, identifying trends, discrepancies and cost overruns.
• Prepare reports and summaries to support management decision-making and operational planning.
• Assist in forecasting, budgeting and cost monitoring activities.
• Coordinate with Finance to ensure timely and accurate invoice processing and cost allocation.
• Investigate and resolve discrepancies between operational records and financial postings.
• Support payroll administration, including verification of payment requests, claims and payroll-related records.
• Maintain accurate documentation and records for audit and reporting purposes.
• Liaise with internal stakeholders and external service providers to obtain and verify required information.
• Support process improvement initiatives and workflow optimisation projects.
• Perform other duties as assigned.

Requirements:

• Minimum Diploma or Degree in any discipline.
• Experience in data analysis, reporting, budgeting, cost control or financial analysis.
• Strong analytical and numerical skills with high attention to detail.
• Proficient in Microsoft Excel and data analysis tools.
• Ability to interpret data, identify trends and explain variances clearly.
• Prior experience in payroll, finance, operations or cost analysis will be advantageous.

Ally (Kubota Ayako)
CEI Reg. No. R26161457
EA Lic: 99C4599
Recruit Express Pte Ltd

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firm's data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially value outcomes across the APAC markets and businesses.

As a Data & AI Platform Product Manager - Vice President within the APAC Chief Analytics and Data Office, you will own the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will translate APAC business, regulatory, and user needs into clear product requirements, prioritized backlog/roadmap inputs, and measurable adoption outcomes. You will partner closely with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets.

Job responsibilities

• Lead APAC technical product discovery with business sponsors, end users, client technology teams, Customer Success, and Business Adoption to identify high-impact Data & AI platform opportunities

• Develop a strong understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business

• Triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and define clear problem statements and success criteria

• Define APAC-specific platform requirements across functional, data, integration, access/entitlements, controls, and user experience needs, including user journeys and acceptance criteria

• Translate data governance, AI governance, risk and control expectations into platform capability requirements (e.g., approvals, guardrails, lineage, auditability, evidence capture)

• Define non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness)

• Own and maintain the APAC technical product backlog; ensure requirements are engineering-ready for feasibility assessment, sequencing, dependencies, and delivery planning

• Partner with APAC CAO/CPO and intake forums to prioritize work based on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility

• Provide structured APAC inputs into global/regional platform roadmaps, balancing regional needs with global strategy to avoid unnecessary fragmentation

• Define measurable outcomes and track success (adoption, usage, value realization, control adherence, production readiness, customer satisfaction), converting learnings into backlog improvements

• Communicate priorities, trade-offs, and roadmap implications to senior stakeholders; produce executive-ready product briefs and decision materials

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field

• 8+ years of experience in technical/platform product management, data/AI platforms, enterprise technology products, or related roles

• Strong understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption)

• Demonstrated ability to translate business problems, regulatory requirements, and technical constraints into product requirements, user journeys, acceptance criteria, and roadmap priorities

• Strong technical fluency (data flows, APIs, platform architecture, cloud-based platforms, integration patterns, technical documentation, non-functional requirements)

• Experience partnering with engineering teams to shape platform capabilities while maintaining clear product ownership of the “what/why/for whom”

• Strong product judgment with ability to make trade-offs across value, urgency, feasibility, risk, and platform strategy

• Experience operating in financial services or another regulated environment

• Strong stakeholder management and influencing skills across senior business, product, engineering, risk, and governance partners

• Strong written and verbal communication skills, including creating product briefs, prioritization recommendations, and executive decision materials

• Ability to manage ambiguity, structure complex problems, and drive alignment across regional and global stakeholders

Preferred qualifications, capabilities, and skills

• Experience with enterprise data platforms, AI/ML platforms, cloud analytics platforms, data marketplaces, internal developer platforms, or internal user platforms

• Experience in a CDAO/data office, analytics/AI function, platform product organization, or enterprise transformation program

• Track record supporting platform adoption across multiple countries, Lines of Business, or regulated jurisdictions

• Familiarity with data governance, data quality, lineage/metadata, access management, and AI/model governance expectations

• Experience defining product requirements for APIs, data products, workflow tools, self-service platforms, analytics capabilities, or AI/ML enablement platforms

• MBA, Master’s degree, or advanced technical/product qualification

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=ffdea93a6c82f31cf13d8d19de51eaf1

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase supports the firm’s data and analytics capabilities, enabling risk management, business strategy, and operational excellence. The Asia Pacific CDAO advances data and analytics strategy, platforms, and governance to deliver responsible outcomes across APAC markets.

As an Associate in APAC Data Privacy within the Firmwide Privacy Office, you will help implement and maintain the firm’s privacy program across the Asia Pacific region. This role offers the opportunity to work in a dynamic, regulated financial environment, collaborating with cross-functional teams to support compliance, operational effectiveness, and a strong culture of data protection.

Key Responsibilities

• Assist with projects to enhance the firm’s privacy program from an APAC perspective.

• Support the implementation of privacy initiatives, adapting global programs for the APAC region.

• Help review privacy requirements for new business initiatives, including privacy notices and regulatory compliance.

• Contribute to mapping regulatory requirements for Data Protection Officers (DPOs) across APAC.

• Support data incident risk assessments and breach notification processes.

• Help draft and maintain governance documentation, such as policies and procedures.

• Assist in developing and implementing Firmwide Privacy Office (FPO) standards and procedures for APAC.

• Support the development of privacy controls and training programs.

• Participate in training sessions and regional strategy planning.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Law, Economics, Business or related field

• 3+ years of experience in privacy program design and implementation, preferably within the financial services or regulated sector.

• Familiarity with APAC privacy laws and global frameworks such as GDPR and CCPA.

• Experience supporting privacy assessments, risk reviews, or incident response.

• Ability to work collaboratively across teams and regions.

Preferred Qualifications, Capabilities, and Skills

• Legal or compliance background is a plus.

• Familiarity with privacy certifications (e.g., CIPP-A, CIPP-E) is advantageous.

• Understanding of AdTech, online tracking, or emerging privacy technologies is helpful.

• Design and operationalize technology controls for privacy and data risk.

• Translate privacy/business requirements into implementable technology controls across big data and AWS environments; oversee/challenge 1LOD Data, Privacy & AI controls, define/execute data risk testing, and continuously monitor control effectiveness, gaps, KRIs/MI, and remediation.

• Drive data quality and governance controls using SQL, DataBricks, and metadata/catalog tooling (e.g., Informatica/Collibra, RDHP, Jade); analyze complex datasets, report DQ findings/trends and emerging risks.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=1fff9d63b8f379c96ce36f2e7a96fa5a

Our client, a global technology leader specializing in search, digital platforms, cloud computing, and data-driven innovation, is seeking a Financial Data Analyst/Product Analyst to support financial reporting and analytics through data extraction, SQL scripting, and reporting automation. This role will focus on generating and transforming large financial datasets, building SQL-based reporting solutions, and delivering actionable insights to support business and finance stakeholders.

This is a fixed term contract ending on the 14 Dec 2026 with possibilities for extension thereafter

Responsibilities

• Extract, validate, and analyze financial data from databases, data warehouses, and ERP systems using SQL.
• Write and maintain SQL scripts to support reporting, data analysis, and financial insights.
• Interpret financial and operational data to identify trends, risks, and business opportunities.
• Build and maintain dashboards and reports using BI tools such as Looker, Tableau, or Power BI.
• Support recurring financial reporting, ad-hoc analysis, and reporting automation initiatives.
• Partner with Finance and cross-functional teams to ensure data accuracy and deliver actionable insights.

Requirements

• Up to 6 years of experience in Financial Analysis, Product Analytics, FP&A Analytics, Financial Data Analytics, Business Intelligence, or related roles.
• Advanced SQL skills with the ability to independently write and optimize complex queries and scripts.
• Strong analytical skills with the ability to interpret data and translate findings into business recommendations.
• Strong financial domain knowledge with experience analyzing P&L, revenue, costs, budgets, or financial performance metrics.
• Proven experience extracting and working with large datasets from platforms such as BigQuery, Snowflake, SAP, Oracle, or similar.
• Experience with Excel and BI tools such as Looker, Tableau, or Power BI.

Responsibilities

• Create UI/UX design styles, reusable design systems, components and design tokens
• Conduct user acceptance testing
• Assist with user tracking and support
• Assist in implementing features for internal web applications and educational technology tools
• Build out front-end components and integrate back-end workflows
• Review AI-generated code snippets
• Undertake any other ad hoc duties as assigned

Requirements

• Proficient in data analysis, advanced Excel tools

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI No.: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599
*** We regret that only shortlisted candidates will be contacted.

Location: Pasir Panjang

Working Hours: 8.30am to 5pm (Mon - Thurs), 8.30am to 4pm (Fri)

A. Cost Allocation & AP Coordination

• Ensure accurate cost coding for all crew salary components and related expenses.

• Coordinate with Finance (Accounts Payable) to ensure timely and accurate invoice posting.

• Clarify discrepancies between Crewing records and AP postings.

• Maintain accurate documentation for audit purposes and month-end closing.

B. Data Preparation& Cost Analysis

• Perform monthly actual vs budget variance analysis for crew-related costs across vessels.

• Identify cost overruns, abnormal trends and pro-actively flag issues to Fleet Crewing Manager.

• Assist in preparation of crew forecasts and budgets.

• Assist in preparing vessel summary reports for management review.

C. Payroll Processing(backup role)

• Assist the Payroll Officer in generating monthly crew payroll across assigned vessels.

• Verify crew home allotment instructions and payment requests.

• Check reimbursement claims and prepare submissions for processing.

• Ensure all payroll entries comply with SEA contract terms and are correctly entered into CFM.

D. Administrative & Support Responsibilities

• Maintain updated crew payroll files, allotment records and supporting documents.

• Work closely with Crewing Officers, manning agents, and Finance departments for required information.

• Participate in process improvements related to payroll and documentation workflows.

•Perform any additional duties assigned by the Fleet Crewing Manager.

Requirements

• Minimum Diploma or equivalent
• Experience in handling data analyst for department (micro level)
  

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

You will be responsible for the end-to-end softwaredevelopment and support for all work related to Enterprise Data Warehouse (EDW)projects, quarterly change requests, L3 production fixes. This includessoftware product implementation and administration, application design,development, implementation, testing and support. You will be expected to workon Data team.

You will also be responsible for quality assurance of the team’s delivery inconformance with the Bank-defined software delivery methodology and tools. Youwill partner with other technology functions to help deliver requiredtechnology solutions.

• Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)
• Effectively partner with citizen data scientists in enabling faster adoption of AL/ML model based systems
• Independently install, customise and integrate software packages and programs
• Carry out POCs involving new data technologies
• Design and develop application frameworks for data integration
• Create technical documents such as solution design, program specifications for target solutions
• Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation Maintain and recommend software improvements to ensure a platform centric management of software applications
• Performance tuning
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

• Hands-on experience in implementing large scale data warehouse, Data mart & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:
• Experience in Data Modeling, Data mapping for Data Warehouse and Data Marts solutions
• Expertise in FSLM or similar industry models
• Expertise in Reference data management – Tools experience such as MDM (Master Data Management)
• Experience in functional domain - Retail , Wholesale, Compliance , Digital
• Experience in analytics - Retail Analytics
• Expertise in design of role based fine grained access control
• Designing cloud ready data solutions, Virtualization  

• Technical skillsets -ML Model operationalization, Building Data Pipelines and Hadoop based Data marts
• Expertise in implementing Big Data frameworks using multiple SQL engine such as Spark, Impala, Hive, etc
• Expertise in implementing Hadoop based Data mart using Spark based framework (Java, Scala, Pyspark)
• Leverage LLM model to build intelligent data applications (eg: Natural Language based SQL generation)
• Experience in end to end AI / ML life cycle (Data pipeline, model training, Model development, deployment, fine tuning, etc)
• Expertise in building Data federation solution(Trino, Presto, Dremio, Query Grid) along with Data caching / Indexing
• Experience in working with any of Data Catalog tools and Automating Data Quality checks using frameworks
• Good Working experience in core technical area using Python, Java, PySpark and Scala
• Expertise in Cloudera CDP components
• Good knowledge in developing Spark based ingestion framework (Java, Scala, Pyspark)
• Experience in building and operationalising feature pipeline to support AI/ML model execution, data pipelines for supporting large scale data warehouse/data marts

• Additional requirements - 2 to 3 technical certifications from enclosed list:
• Cloudera Hadoop distribution–Hive, Impala, Spark, Kudo, Kafka, Flume
• Teradata–Bteq, Query Grid, GCFR, MDM, TAS, Data Mover, BAR
• Informatica Data Integration – PC, IDR, BDM, MM, IDQ, EDC
• Data modelling tools (Erwin)
• QlikSense
• Microsoft – R
• Data science workbenches – Cloudera Machine Language, Jupyter, DataRobot, H2O.AI, IBM DSX
• Data Virtualization tool (Denodo, Dremio)
• AS400
• Language – SQL, Java, Python, Scala, Pyspark
• Automation / scripting – CtrlM, Shell Scripting, Groovy

About the Role
The Project Engineer will work closely with project leads, clients, vendors, and technicians to ensure smooth project execution from construction phase to data center handover.

Key Responsibilities

• He is responsible for monitoring, maintaining the Data Centre and coordinating the deployment, installation, and commissioning of data center infrastructure and IT systems, including power, cooling, fire suppression systems, and IT systems performance managing cabling works, server and network equipment setup, troubleshooting, and ensuring adherence to project timelines, quality standards, and safety requirements.
• He will need to manage end‑to‑end delivery of Data Centre projects, ensuring quality, safety, and compliance with local regulations.
• He will need to coordinate with internal teams, consultants and contractors to achieve project milestones and oversee project budgets, schedules and resources to ensure successful completion.
• After the completion of the projects, he will need to prepare project reports, documentation and updates for management and clients.
• He also needs to respond to alarms, faults, and emergency situations, and implement solution.

Requirements

• Diploma or Degree in Mechanical & Electrical Engineering, Building & Construction, or a related discipline.
• Min 4 years of Data Centre project experience is preferred and local project experience in Singapore is required.
• Strong hands-on technical capability on Data Centres, coupled with project planning and coordination skills.

• Prior hands-on experience in data center environments including rack & stack, cabling, patching, and hardware installation.
• Basic knowledge of data center cooling, airflow management, and power redundancy systems.
• Candidates with other mission‑critical or high‑spec project experience (e.g. hospitals, airports, large commercial builds) are welcome to apply.
• Ability to work in fast‑paced environments and deliver under tight deadlines.

• Some experience and knowledge of MEP equipment such as UPS, generator, Chiller, Pump, cooling tower is preferred

As a Senior Data Engineer, you will be working on:

• Translate data requirements from business users into technical specifications.

• Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

• Build out data product as part of a data team:

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

• Construct, test, and update useful and reusable data models based on data needs of end users.

• Design and build secure mechanisms for end users and systems to access data in data warehouse.

• Research, propose and develop new technologies and processes to improve agency data infrastructure.

• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures. • Maintain data catalogue to document data assets, metadata and lineage.

• Implement data quality checks and validation processes to ensure data accuracy and consistency.

• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

Ensure the accuracy, completeness, and consistency of customer data within the system by performing regular data cleansing, and validation checks. Ensure proper data entry protocols, duplication control, and timely updates, to support reliable reporting and effective decision-making.

Assist and optimize end-to-end customer service and sales workflows to improve efficiency, responsiveness, and overall customer experience. Assist sales manager to identify gaps and implement best practices, standard operating procedures (SOPs).

Assist and coordinate customer engagement by ensuring timely, accurate, and communication throughout the sales cycle. Support quotation process by standardizing templates, improving turnaround time, and ensuring pricing accuracy in agreement and alignment with customer requirements.

Our Research Scientists serve as the driving force behind our Innovations. We identify and target mechanisms or pathways involved in the disease process, and invent novel therapies to address unmet medical needs. This exceptionally COMPLEX task represents one of the most MULTIDISCIPLINARY endeavours in the field.

INNOVATION also thrives at that intersection of multiple disciplines! In this role as an Associate Director, Imaging and Omics AI Analytics Research, you will have the opportunity to work at that intersection of disciplines to shape innovation in biomarker sciences, influence pipeline decisions, and contribute to a research-driven environment with industry-leading expertise. This role is within our Biomarkers & Data Analytics team at our state-of-the-art research laboratory in Biopolis, Singapore.

If you are PASSIONATE about applying your expertise to address critical unmet needs and accelerate the discovery and development of new therapies, we invite you to join us in pioneering the future of biomarker research for the biopharmaceutical industry.

WHAT YOU CAN EXPECT:

• Opportunity to drive AI-ML/data science innovation at the intersection of multiple disciplines by integrating medical and disease biology, imaging & omics technologies, big data and biobanks.  

• Opportunities for engaging your innovative & creative mind to experiment with new ideas and approaches.

• A supportive working environment that fosters career growth and continuous learning.

WHAT YOU WILL DO :

You will spearhead the research and development of AI/ML algorithms to analyze multimodal medical images (e.g., MRI, CT, OCT), digital pathology and spatial-omics data, as well as molecular biomarkers and other omics datasets, with the goal of discovering and deploying novel biomarker solutions.

You will shape these efforts by collaborating with cross-functional teams to identify key research questions and develop robust AI/ML pipelines for integration into our applications, enhancing biomarker and data analytics solutions for various diseases, including cardiometabolic, immunological, and neurological conditions.

You will partner with internal teams of experts, external research institutions, and technology vendors to identify and access state-of-the-art AI/ML technologies and drive innovation to achieve significant outcomes. One key aspect of your role will be contributing to the development of reusable software/analytics pipelines that serve as foundational AI/ML capabilities, which can be integrated across various applications.

As a result of these initiatives, you will play a crucial role within the team that harnesses big data (such as Biobank, real-world data, and electronic health records) and data science to support both reverse and forward translation. Your efforts will contribute to transforming insights from medical and disease biology into biomarker solutions that enable decision-making in our drug development programs.

In this role, you will present our AI/ML technology and algorithms to a variety of stakeholders, including project teams, senior management, and external partners. You will also author project proposals and technical reports as part of your responsibilities.

Working at the cutting edge of AI/ML technology for pharmaceutical drug discovery and development offers you the opportunity to present and publish your findings, contributing fresh perspectives and diverse viewpoints that can shape the future of the industry.

WHAT YOU MUST HAVE:

You are required to have a PhD in Computer Science, Data Science, Engineering, Physics or a related discipline, along with over 5+ years of experience in applying AI/ML technologies to solve biomedical research questions. Alternatively, a master’s or bachelor’s degree in these areas with 10+ years of relevant experience will also be acceptable.

You are required to have a strong background in machine learning, deep learning, and various advanced neural network architectures (e.g., CNNs, RNNs, GNNs, and Transformers), key learning paradigms (supervised/self-supervised/unsupervised learning, GANs, diffusion modeling etc) and foundation models/LLMs for applications in large-scale medical imaging, omics, and text/EHR data analytics (e.g., for bigdata/biobank applications).

You should possess significant hands-on experience with modern programming languages (e.g., Python, R, Java, JavaScript), ML/DL frameworks (e.g.,  scikit-learn, PyTorch, CUDA, TensorFlow), cloud computing services (e.g., AWS, Azure, Google) and common ML engineering platforms/tools (e.g., MLFlow, Spark, Databricks, Dataiku).

You are required to have understanding of medical imaging modalities (e.g., MRI, CT, PET). It will be an advantage for you to have expertise in image processing techniques (such as image segmentation, registration, and feature extraction) and familiarity with tools like ITK, SimpleITK, OpenCV, or similar frameworks.

It would be ideal for you if you have knowledge in cardiometabolic, immunological, and/or neurological disease biology. However, more importantly, you are expected to demonstrate a strong interest in learning the key concepts in disease biology and in applying that knowledge to drug discovery and development in pharmaceutical R&D.

Your leadership skills in building partnerships and leveraging relationships within and across work groups, along with your ability to engage and persuade others to gain acceptance of ideas & foster commitment, will be critical for unlocking the potential of our talents and investments.

Your proficiency in identifying and understanding problems and opportunities through the analysis of quantitative and qualitative information; choosing the best course of action by establishing clear decision criteria; evaluating alternatives and making timely decisions —will be crucial to your leadership skills required for success in shaping our future.

Finally, your ability in facilitating change by encouraging others to implement better approaches and leading the implementation of change within the workplace; along with creating novel solutions that provide measurable value and experimenting with new ways to address work problems, will be vital for driving innovation and deliver impact.

WHO WE ARE

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science” and that great medicines can make a significant impact to our world. And we believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.

WHAT WE LOOK FOR

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us — and start making your impact today.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

We are looking for a

Data Center Engineer

 to support 24/7 operations at a leading client site (SG4) in Singapore, with occasional exposure to Taiwan DC.