Total 26 Director/C-Level data entry job vacancies in Information Technology category

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.

About the Role

Exceptional Chief Operating Officer to lead data centre operations and drive construction and engineering excellence across Southeast Asia. This strategic leadership position will be instrumental in scaling our data centre network and operational capabilities during an exciting period of regional expansion.

As COO, you will oversee all internal operations, manage complex infrastructure environments, and lead high-performing teams to deliver world-class data centre facilities that meet the growing demand for digital infrastructure in the region.

Responsibilities

• Provide strategic leadership for all operational aspects of multi-site data centre facilities across Southeast Asia.
• Oversee construction and engineering functions, ensuring projects are delivered on time, within budget, and to the highest quality standards.
• Drive operational efficiency and excellence across all facilities, implementing best practices and continuous improvement initiatives.
• Lead and develop cross-functional teams across operations, engineering, construction, and facilities management.
• Manage significant operational budgets and optimize resource allocation.
• Establish and maintain hyperscale operational standards aligned with industry best practices.
• Champion innovation in data centre technologies, including AI-centric environments and advanced cooling solutions.
• Build and maintain strong relationships with key stakeholders, vendors, and partners.
• Ensure compliance with all regulatory, safety, and environmental requirements.
• Develop and execute operational strategies that support the company's growth objectives.

Requirements

• Minimum 12 years of progressive leadership experience in multi-site data centre operations
• Bachelor's or Master's degree in MEP (Mechanical, Electrical, Plumbing) Engineering, Building Services, or related engineering discipline
• Proven track record of successfully delivering data centre construction projects, including both new-build and renovation projects
• Strong technical expertise in data centre infrastructure, including: Electrical power systems and distribution HVAC and cooling systems
• Deep knowledge of MEP systems and hyperscale data centre standards
• Demonstrated experience managing large operational budgets and P&L responsibility
• Direct Liquid Cooling (DLC) technologies, AI-optimized data centre environments, IT infrastructure and network systems

Preferred Qualifications

• Professional certifications in data centre management (e.g., CDCP, CDCS, CDCE)
• Certifications in facilities management or IT infrastructure (e.g., CFM, ITIL)
• Experience with Tier III or Tier IV data centre facilities
• Knowledge of sustainability initiatives and green data centre practices

What We Offer

• Opportunity to lead operations for a growing data centre platform in Southeast Asia
• Strategic C-level role with significant impact on company direction
• Work with cutting-edge data centre technologies and infrastructure
• Singapore (with regional travel across Southeast Asia required)

How to Apply: Click  Apply Now or send your resume directly to Talent@BuildBridgePartners.com

EA Details:

EA Name: BuildBridge Partners Pte Ltd

EA License No: 25C2918

EA Reg No: R1551092 Khoo Yan Jie

https://buildbridge-partners.careers-page.com/jobs/bd26b8d8-7789-4b7c-b3c2-54c6c190f255

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

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

About the Role

Exceptional Chief Operating Officer to lead data centre operations and drive construction and engineering excellence across Southeast Asia. This strategic leadership position will be instrumental in scaling our data centre network and operational capabilities during an exciting period of regional expansion.

As COO, you will oversee all internal operations, manage complex infrastructure environments, and lead high-performing teams to deliver world-class data centre facilities that meet the growing demand for digital infrastructure in the region.

Responsibilities

• Provide strategic leadership for all operational aspects of multi-site data centre facilities across Southeast Asia.
• Oversee construction and engineering functions, ensuring projects are delivered on time, within budget, and to the highest quality standards.
• Drive operational efficiency and excellence across all facilities, implementing best practices and continuous improvement initiatives.
• Lead and develop cross-functional teams across operations, engineering, construction, and facilities management.
• Manage significant operational budgets and optimize resource allocation.
• Establish and maintain hyperscale operational standards aligned with industry best practices.
• Champion innovation in data centre technologies, including AI-centric environments and advanced cooling solutions.
• Build and maintain strong relationships with key stakeholders, vendors, and partners.
• Ensure compliance with all regulatory, safety, and environmental requirements.
• Develop and execute operational strategies that support the company's growth objectives.

Requirements

• Minimum 12 years of progressive leadership experience in multi-site data centre operations
• Bachelor's or Master's degree in MEP (Mechanical, Electrical, Plumbing) Engineering, Building Services, or related engineering discipline
• Proven track record of successfully delivering data centre construction projects, including both new-build and renovation projects
• Strong technical expertise in data centre infrastructure, including: Electrical power systems and distribution HVAC and cooling systems
• Deep knowledge of MEP systems and hyperscale data centre standards
• Demonstrated experience managing large operational budgets and P&L responsibility
• Direct Liquid Cooling (DLC) technologies, AI-optimized data centre environments, IT infrastructure and network systems

Preferred Qualifications

• Professional certifications in data centre management (e.g., CDCP, CDCS, CDCE)
• Certifications in facilities management or IT infrastructure (e.g., CFM, ITIL)
• Experience with Tier III or Tier IV data centre facilities
• Knowledge of sustainability initiatives and green data centre practices

What We Offer

• Opportunity to lead operations for a growing data centre platform in Southeast Asia
• Strategic C-level role with significant impact on company direction
• Work with cutting-edge data centre technologies and infrastructure
• Singapore (with regional travel across Southeast Asia required)

How to Apply: Click  Apply Now or send your resume directly to Talent@BuildBridgePartners.com

EA Details:

EA Name: BuildBridge Partners Pte Ltd

EA License No: 25C2918

EA Reg No: R1551092 Khoo Yan Jie

https://buildbridge-partners.careers-page.com/jobs/bd26b8d8-7789-4b7c-b3c2-54c6c190f255

Overview

A global advisory firm is looking to appoint a senior commercial leader to drive its data center advisory and digital infrastructure practice across Asia-Pacific.

This role focuses on working closely with hyperscalers, colocation operators, developers, and infrastructure investors, providing strategic guidance on data center network expansion, resilience, and operational strategy.

You will play a key role in shaping how clients approach mission-critical infrastructure risk, connectivity, and long-term scalability across multiple markets.

Key Responsibilities

Data Center Advisory & Network Strategy

• Lead advisory engagements focused on data center network planning, redundancy, and performance optimisation
• Provide guidance across the full lifecycle of data center assets, from development through operations
• Support clients in aligning technical infrastructure with commercial and operational objectives
• Advise on uptime, resilience, and service continuity across multi-site platforms

Client Leadership & Industry Engagement

• Act as a trusted advisor to senior stakeholders across hyperscalers, colocation providers, and infrastructure funds
• Build and expand relationships within the data center ecosystem across APAC
• Represent the business at industry events, client meetings, and strategic discussions
• Identify and drive new opportunities within emerging digital infrastructure markets

Infrastructure Risk & Advisory

• Provide insights on risk exposure across design, construction, and operations of data center assets
• Advise clients on risk mitigation strategies linked to power, cooling, and network architecture
• Support complex projects requiring coordination across multiple stakeholders, geographies, and delivery partners
• Work closely with technical teams to bridge engineering considerations with business strategy

Commercial Strategy & Solution Development

• Lead high-value client engagements, including regional pursuits and complex solution structuring
• Develop tailored advisory strategies that integrate technical, commercial, and operational factors
• Collaborate across internal functions to deliver integrated, multi-disciplinary solutions
• Stay ahead of market trends across digital infrastructure, data center design, and network innovation

Requirements

Experience

• 8+ years within data centers, digital infrastructure, or mission-critical environments
• Strong background in client-facing advisory, consulting, or strategic business development roles
• Proven experience working with regional or multi-country projects
• Prior engagement with hyperscalers, operators, or infrastructure investors is highly advantageous

Technical & Industry Understanding

• Strong knowledge of data center operations, network design, and infrastructure systems (power & cooling)
• Understanding of service level expectations, uptime requirements, and operational reliability
• Familiarity with risk frameworks and resilience planning for mission-critical environments
• Exposure to infrastructure investment and stakeholder structures is a plus

Profile

• Commercially strong with experience leading complex client engagements or strategic initiatives
• Able to translate technical detail into clear, actionable advisory insights
• Strong stakeholder management skills across technical and executive audiences
• Entrepreneurial mindset with the ability to build and scale a regional practice

If you are interested, please apply with your latest CV. Only shortlisted candidates will be contacted.

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

Key Responsibilities:

• Ensures the execution of the organization's financial strategy in alignment with its overall business goals.

• Oversees the preparation and presentation of accurate and timely financial reports to senior leadership team and board of directors.

• Conducts in-depth financial analysis to provide insights into organization's financial performance, trends, and opportunities for improvement.

• Uses data-driven analysis to make strategic financial decisions.

• Identifies, assesses, and mitigates financial risks that could impact business profitability or financial stability.

• Implements risk management strategies to safeguard assets and investments.

• Ensures the organization complies with all financial regulations, accounting standards, and tax laws in the regions where it operates.

• Maintains strong relationships with regulatory authorities and auditors, where applicable.

• Manages the allocation of financial resources, including capital investments, debt financing, and dividend policies.

• Establishes and maintains robust financial controls, policies, and procedures to prevent fraud, errors, and financial mismanagement.

• May assist with evaluation potential mergers, acquisitions, or divestitures from a financial perspective. May lead financial due diligence and integration efforts when necessary.

• Maintains relationships with investors and analysts, communicating the company's financial performance, strategic initiatives, and growth prospects.

• Oversees the management of the finance information systems and necessary reports for critical analyses of financial performance.

• Builds and leads a high-performing finance team, setting clear goals and expectations, providing mentorship, and fostering a culture of accountability and excellence.

• Manages a team of Senior Finance Managers carrying out the financial management and control processes.

Knowledge and Attributes:

• Process driven and commercially astute.

• Significant understanding of how technology solutions are influenced and affected by various business scenarios.

• Excellent business negotiation and conflict resolution skills.

• Political savvy.

• Significant knowledge of financial principles, accounting standards, and financial reporting.

• Significant understanding of financial modelling and analysis.

• Ability to think strategically and align financial strategies with the organization's overall business objectives.

• Significant proficiency in identifying, assessing, and managing financial risks.

• Excellent communication and presentation skills to effectively convey financial information to various stakeholders, both internal and external.

• Strong leadership and team-building skills to lead and develop a high-performing finance team.

• Significant capability to make sound financial decisions based on data analysis and risk assessment.

• Ability to adapt to changing business environments and lead financial transformation initiatives when necessary.

• Commitment to ethical and responsible financial practices and compliance with applicable laws and regulations.

• Commitment to staying updated with industry trends, financial regulations, and best practices through ongoing professional development.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in a Finance related field preferred.

• Preferably post-graduate degree with extensive experience in a financial management capacity beneficial.

Required experience:

• Significant financial leadership experience in a related environment, managing people, processes and budgets to achieve corporate and divisional objectives.

• Significant demonstrable experience with and understanding of the deliverables of a financial function.

• Significant strategic planning experience.

• Significant in depth knowledge and understanding of IT industry environment and business needs, combined with strong understanding of business process.

• Significant experience managing finance operations on a global scale, including knowledge of international taxation, foreign exchange, and regulatory compliance in multiple regions.
  Extensive experience in specializing in financial perspective to drive business performance and business operational standardization.

  Extensive experience in working in Global MNC and/or High-Tech Industry

  Candidates who can speak Japanese will be highly of advantage

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Min. 7 years of experience in a similar role.
• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.
• Stronger ownership of technical design across multiple datasets or pipeline domains.
• Experience guiding implementation standards, code quality and engineering practices within a team.
• Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For

We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Position Overview

We are seeking an experienced Research Director to lead our data centre research initiatives across the Asia Pacific region from our Singapore hub or another established data centre market where JLL operates. This senior role will drive thought leadership, market intelligence, and strategic insights for JLL's data centre practice, supporting client advisory services and business development across the rapidly expanding digital infrastructure sector.

Key Responsibilities

Research Leadership & Strategy 

• Drive the development and execution of comprehensive research strategies for mature and emerging data centre markets across APAC.

• Lead primary and secondary research initiatives that position JLL as the definitive source of data centre market intelligence in the region.

Market Analysis & Forecasting

• Conduct deep-dive analysis of data centre supply, demand, pricing trends, and investment flows.

• Track and analyze market activity across APAC's leading data centre developers, operators, tenants, and investors.

• Develop sophisticated forecasting models for colocation, hyperscale, on-prem and edge computing segments.

• Monitor regulatory developments, sustainability initiatives, and technological shifts impacting the sector.

Thought Leadership & Publications 

• Author flagship research reports, market outlooks, and white papers that establish JLL's intellectual capital in the data centre space.

• Present findings at industry conferences, client events, and media briefings.

• Collaborate with global research teams to ensure consistency and leverage international insights.

Client Advisory Support 

• Provide strategic research support for client engagements across capital markets, project and development services, facility management and occupier solutions.

• Develop bespoke research deliverables for institutional investors, developers, and technology companies.

• Support pitch presentations and new business development initiatives.

Stakeholder Engagement 

• Build and maintain relationships with key industry players including data center operators, cloud service providers, telecommunications companies, and institutional investors.

• Engage with government agencies and industry associations to stay ahead of policy and regulatory developments.

Team Development 

• Lead and mentor research analysts and associates across business lines and geographies.

• Foster a culture of analytical excellence and innovation within the research team.

• Collaborate with business line leaders to ensure research output aligns with commercial objectives.

Required Qualifications

• Advanced degree in Economics, Finance, Real Estate, Urban Planning, or related quantitative field.

• Minimum 8-10 years of experience in commercial real estate research. Previous experience in Asia Pacific markets strongly preferred.

• Deep understanding of data center fundamentals including power infrastructure, cooling systems, network connectivity, and operational requirements.

• Proficiency in Excel and data visualization platforms.

• Experience with GIS mapping and spatial analysis preferred.

• Comprehensive knowledge of APAC data center markets including regulatory frameworks, major players, and investment trends.

• Understanding of cloud computing, edge infrastructure, and emerging technologies driving data center demand.

• Familiarity with sustainability and ESG considerations in data center development.

• Exceptional written and verbal communication skills with ability to present complex analysis to diverse audiences.

• Proven track record of producing high-quality research publications and thought leadership content.

• Strong project management and team leadership capabilities.

• Previous experience at a leading commercial real estate services firm, investment bank, or data center operator.

• Established network within the Asia Pacific data center ecosystem.

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 13,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 13,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg

Job Description

• Industry/ Organization Type: ICT Services Provider (Data Centre)
• Position Title: General Manager
• Working Location: North-East Region
• Working Hours: 5 Days, Monday – Friday (9am – 6pm)
• Salary Package: Basic Salary + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Oversee daily data centre operations to ensure continuous uptime, reliability, and service availability.
• Develop, implement, and enforce operational policies, procedures, and best practices.
• Lead incident management processes, including troubleshooting, root cause analysis, and corrective actions.
• Manage and monitor critical systems such as UPS, generators, cooling systems, BMS, etc.
• Plan and coordinate preventive maintenance, shutdowns, and infrastructure upgrade activities.
• Manage vendors and contractors, ensuring performance meets agreed service level agreements (SLAs)
• Oversee contract management, including renewals, negotiations, and compliance with procurement policies.
• Evaluate vendor performance regularly and recommend improvements or alternative solutions.
• Maintain strong relationships with external partners to ensure seamless support and service delivery.
• Supervise preventive and corrective maintenance of electrical, mechanical, and IT infrastructure.
• Ensure full compliance with safety, environmental, and regulatory requirements.
• Monitor facility capacity and resource utilization and plan for future expansion needs.
• Drive initiatives to improve energy efficiency and optimize operational costs.
• Lead, mentor, and develop a team of data centre engineers and technicians.
• Plan and manage staffing schedules to ensure smooth 24/7 operational coverage,
• Conduct audits and risk assessments to maintain compliance.
• Act as the main point of contact for stakeholders, providing regular updates, reports, and coordination with internal teams.

APPLY NOW!!!

• Bachelor’s degree in Engineering, Information Technology, or a related discipline.
• At least 8 years of experience in data centre operations, including a minimum of 5 years in a leadership role.
• Strong knowledge of data centre infrastructure management, including electrical, mechanical, and IT systems.
• Experience in data centre design, implementation, and operations management.
• Familiar with servers, racks, cooling systems, power systems, and storage infrastructure.
• Knowledge of industry standards such as ISO 27001 and related compliance requirements.
• Proven leadership and people management skills to effectively lead teams in a high-availability environment.
• Excellent communication and stakeholder management abilities.
• Capable with budgeting, forecasting, and operational planning.
• Ability to develop and implement processes to enhance efficiency, reliability, and performance.

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 #84120 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 | Rachael Lee | EA Reg No.: R2093131

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 15,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 15,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 15,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 15,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 15,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 15,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg