Total 47 Director/C-Level data entry job vacancies

Job Overview:

We are seeking a highly experienced and innovative DesignDirector to lead and manage the design aspects of our state-of-the-art datacenter projects. The ideal candidate will possess a strong background inarchitecture, engineering, and design management, along with a deepunderstanding of the unique requirements and technical considerations that comewith designing high-performance, energy-efficient, and scalable data centers.The Design Director will be responsible for overseeing the entire design lifecycle,ensuring that projects are executed to the highest standards, on time, andwithin budget.

Key Responsibilities:

Leadership and Strategy:

• Lead and mentor the design team, providing direction, motivation, and support throughout the project lifecycle.
• Collaborate with senior leadership to develop and execute the overall design strategy for data center projects.
• Ensure alignment of design objectives with business goals, cost, and timeline requirements.

Design and Architecture:

• Oversee the conceptual, schematic, and detailed design phases of data center projects, ensuring the design meets both functional and aesthetic requirements.
• Develop innovative solutions to improve data center performance, energy efficiency, scalability, and sustainability.
• Stay up-to-date on the latest industry trends, technologies, and standards in data center design.

Project Management:

• Manage multiple design projects concurrently, ensuring timely delivery and adherence to quality standards.
• Work closely with construction, engineering, and operations teams to ensure the seamless integration of design with implementation.
• Develop and track project schedules, budgets, and deliverables, ensuring projects are delivered on time and within budget.

Collaboration and Stakeholder Management:

• Coordinate with internal stakeholders, including engineers, contractors, and IT teams, to ensure that design specifications meet technical requirements.
• Interface with clients and external partners to present designs, address concerns, and ensure satisfaction.
• Ensure design solutions are compliant with relevant building codes, safety standards, and regulatory requirements.

Innovation and Continuous Improvement:

• Drive continuous improvement by researching and incorporating new design methodologies, tools, and technologies.
• Promote a culture of creativity and forward-thinking within the design team, focusing on innovation and best practices.
• Identify and mitigate design risks early, implementing proactive measures to ensure project success.

Quality Assurance and Compliance:

• Ensure all designs comply with industry standards, building codes, and environmental regulations.
• Oversee quality assurance processes to ensure the highest standards of design and execution.
• Conduct regular design reviews to maintain design integrity and make adjustments as necessary.

Qualifications and Skills:

Education:

• Bachelor’s degree in Architecture, Engineering, or a related field. A Master’s degree or relevant certifications (LEED, PMP, etc.) is a plus.

Experience:

• Minimum of 10 years of experience in the design and management of large-scale data center or infrastructure projects.
• At least 5 years in a leadership role, managing a design team or department.
• Experience with critical infrastructure design, including electrical, mechanical, and cooling systems.
• Strong understanding of the operational and technical requirements of data centers, including power, cooling, redundancy, and security.

Skills:

• Expertise in AutoCAD, Revit, BIM, and other design software.
• Deep knowledge of building systems, including HVAC, electrical, and fire safety systems, as they apply to data centers.
• Exceptional project management skills, including budgeting, scheduling, and risk management.
• Strong leadership and team management abilities, with experience mentoring and developing talent.
• Excellent communication and interpersonal skills, capable of managing relationships with both internal and external stakeholders.

Job Summary

Corporate and Investment Banking (CIB) at Standard Chartered Bank has embarked on an ambitious journey to incorporate the latest AI and data science capabilities in all aspects of our business. This includes our Financial Markets and Transaction Banking businesses. To that end, we are seeking a senior data scientist with strong background and experience in developing and deploying sound AI solutions using both the classical machine learning techniques as well as the latest Large Language Models.

Key Responsibilities

• Liaise with product owners and business stakeholders, identify pain points and business use-cases and gather requirements

• Understand business use-cases and develop AI/ML solutions for various business use-cases in collaboration with product owners and the wider team

• Productionize the developed solutions in collaboration with MLOps Engineer and the wider Tech and Data team

• Stay up-to-date with recent developments in Data Science and NLP domains: algorithms, best practices etc. and disseminate them across the team

• Mentor and upskill more junior team members

Strategy

• Support the development of data and AI solutions in cooperation with business stakeholders, IT teams and other relevant parties and to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

Governance

• Ensure data quality (DQMF) is applied for data analytics and AI projects

• Adherence to Risk & Data Quality Management Requirements

• Risk and Audit Continuous management of the Trade Application System risk

• Proactively identify issues and actions

• Monitor and remediate issues and actions from audits

• Awareness of the regulatory requirements and ensuring these are catered for in the platform design

Regulatory and Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.

• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders

• Technology and Engineering teams across the bank

• Corporate and Investment Banking (CIB) business teams

• Digital, Data & Coverage Platforms (DDCP)

Our Ideal Candidate

• Degree in Computer Science, Software Engineering, IT, or related fields

• 6+ years of experience in machine learning, data science and/or other relevant quantitative roles -Banking,finance, fraud, risk

• Proficient in Object-Oriented Programming (OOP) in Python

• Experienced Data Scientist with in-depth knowledge of machine learning, deep learning and statistical analysis techniques

• Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage

• Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch

• Experience in using big data tools such as Hadoop, Spark and Hive in a cloud environment would be beneficial

• Familiar with CI/CD and MLOps frameworks and building end-to-end ML pipelines

• Experienced in leading and delivering data science projects and supervising/mentoring junior resources

• Experience in working in an agile environment

• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders

• Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions

Role Specific Technical Competencies

• Data Science

• Python

• NLP

• Deep Learning

• Stakeholder Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.

• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.

• Flexible working options based around home and office locations, with flexible working patterns.

• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Responsibilities

• Oversee operations across hybrid environments including cloud and on-premises infrastructure
• Manage enterprise platforms such as Windows Server, Active Directory, virtualization, and cloud services
• Lead cloud adoption and migration initiatives, ensuring seamless transition and minimal business disruption
• Ensure infrastructure reliability, performance, and security across systems
• Drive managed services operations with a focus on SLA adherence and service quality
• Manage day-to-day operations including incident resolution, escalation handling, and service continuity
• Lead major incident management and ensure timely resolution of critical issues
• Monitor system performance and implement improvements to enhance stability and efficiency
• Oversee data center operations, including backup, disaster recovery, and business continuity planning
• Manage system upgrades, patching, and lifecycle management of infrastructure components
• Ensure readiness and execution of DR drills and recovery procedures
• Support platform standardization and automation initiatives
• Lead infrastructure transformation, migration, and onboarding projects
• Define project scope, timelines, and deliverables aligned with business requirements
• Ensure smooth transition of services into operations with proper documentation and governance
• Collaborate with cross-functional teams for successful project execution
• Ensure adherence to ITIL processes including incident, problem, and change management
• Drive risk identification, mitigation planning, and compliance with security standards
• Support audit activities and implement corrective actions where required
• Maintain accurate documentation, reporting, and governance frameworks
• Lead and mentor large, multi-technology teams across geographies
• Act as the primary escalation point for technical and operational issues
• Build strong relationships with clients, stakeholders, and internal teams
• Provide regular updates, reports, and insights to leadership on service performance
• Drive service improvement initiatives and operational efficiencies
• Promote automation to reduce manual efforts and improve delivery speed
• Identify opportunities for optimization in infrastructure and service delivery

Requirements

• 17+ years strong experience in IT Infrastructure & Data Center Operations
• Strong experience in Azure Cloud, AWS, and Hybrid Environments
• Solid experience in Windows Server, Active Directory, and Virtualization (VMware/Hyper-V)
• Experience in backup, disaster recovery, and high availability solutions
• Strong experience in ITIL processes and service management frameworks
• Experience in managing large-scale enterprise environments and global delivery models
• Hand on experience in Email Gateways and Identity Management
• Experience in DNS, DHCP
• Hands on experience in Security Tools
• Proven ability to lead technical teams and manage stakeholder relationships
• Preferred Certifications in Azure, AWS, or VMware
• Hand on experience in managed services or global delivery environments
• Experience in security, compliance, and audit frameworks
• Experience in Team management

As the Director, Portfolio Management, you will report directly to the Head of Global Portfolio Management, where you will manage end-to-end the JV NAV2 (India) and SG1 (S-REIT asset in Singapore). You will leverage your experience to assist with a variety of financial and operational responsibilities covering the end-to-end asset cycle. You will act as a business partner to increase the profitability of the assets, liaising with sales, operations, finance and legal.

Key Responsibilities

• Oversight of NAV2 and SG1 assets – point of contact for all matters related to these assets.
• Work with REIT Manager and Joint Venture partner, Business case team / FP&A team and other functions (sales, power management, operation, accounting, etc) to generate the required baseline for decision-making to utilize for the benchmarking and tracking of asset performance against IPO or other budgets. Understanding and challenging the underlying assumptions that impact this required baseline will be fundamental when providing oversight for assigned assets.
• Track monthly performance (asset level P&L), initiate and lead meetings per asset under consideration, establish regular asset evaluation, monitor Improvement plan execution.
• Responsible for monthly performance pack generation, analysis and submission to REIT manager and JV partner (SG1 and NAV2).
• Work closely with the Finance, Procurement, Sales, Product and Operations teams along with other relevant NTT GDC asset/project stakeholders to facilitate the value generation at asset level (e.g. higher customer pricing, lower opex costs, better capex spend visibility, reduced vacancy.)
• Working with Sales, Product and other key stakeholders, managing and optimizing rent and lease reviews with a focus of either tracking to the asset’s planned performance or implementing an improvement plan to get the assets back on track. Aspects of this may include understanding the asset’s client mix, calculating the margin expected from current leases, and communicating the impact of leasing decisions (inducements, base price, annual hikes, duration).
• Ensure compliance with S-REIT and JV rules around authorization, management of deadlines and other required matters within property management agreements.
• Give data driven recommendation based on the best-case studies [internal and external] in asset operations and drive the implementation of them to all other relevant assets.
• Performs other duties as assigned.

Knowledge & Attributes

• Proven record in Finance, background in reporting, accounting, forecasting & budgeting with a tendency to act as a ‘business partner’.
• Demonstrated experience in commercial real estate infrastructure investment / data centers or asset management with an understanding of the factors influencing asset performance.
• Understanding of the business of Real Estate (and ideally data centers, data center operations, design & engineering, pre-sales/sales) and a strong analytical skillset to apply that understanding. An understanding of machinery & equipment is a distinct advantage when collaborating with the operations team and communicating asset specific nuances which may impact performance.
• Proven track record of working in internal and external cross-cultural and/or cross-functional project teams with the ability to conduct and prepare comprehensive and detailed data analysis and actionable output reports for stakeholders.
• Ability to manipulate large data sets using advanced excel functions for extracting strategic insight.
• Strategic thinking individual with structured and target oriented approach
• Demonstrated skills in leadership, management, and collaboration
• Outstanding relationship-builder, both internally and externally
• Ability to work in multinational and interdisciplinary teams
• Technical mind-set with commercial acumen
• Problem solver with a “can do” attitude
• Ability to maintain own continual professional development
• Effective communication skills, including the ability to present and communicate to internal and external stakeholders.
• Proficient in English.
• Proficiency in additional languages may be advantageous where relevant to business needs.

Academic Qualifications & Certifications

• A bachelor’s degree in economics, finance or degrees in other fields with relevant transferable skills and experience.
• A master’s in finance or similar professional qualification such as CAIA/ACCA/CPA is a plus.
• Advanced skills in MS Excel and competent in the use of software products including Microsoft Word, PowerPoint, and PowerBI.
• Previous supervisory or leadership experience preferred
• PMP certification and/or Lean Six Sigma (Green/Black belt) certification preferred

Required Experience

• 7–10 years of relevant financial portfolio management experience

Other Requirements

• Travel may be required up to 10% of the time.

This is a high-impact leadership role driving data integrity governance and GxP computerized systems oversight across R&D, Pharmacovigilance, and Medical Affairs on a regional and global scale.

You will play a pivotal role in shaping and executing the Data Integrity strategy, partnering with senior stakeholders across QA, IT, and R&D to ensure robust compliance, inspection readiness, and continuous improvement.

This is an excellent opportunity for a seasoned QA leader to influence enterprise-wide data governance frameworks and contribute to digital transformation initiatives, including AI-enabled QA oversight.

Key Responsibilities

• Lead execution of global Data Integrity strategy across APAC
• Provide QA oversight for GxP computerized systems and business data processes
• Drive audit & inspection readiness, including CAPA and deviation management
• Partner cross-functionally with senior stakeholders across R&D, PV, MA, and IT
• Champion risk-based compliance frameworks and governance models
• Lead continuous improvement initiatives leveraging analytics and emerging technologies

To be shortlisted for the role, you will come with:

• 10–15 years’ experience in QA, CSV, or IT compliance within pharma/biotech
• Strong expertise in data integrity & GxP systems governance
• Proven track record in audit/inspection leadership and CAPA oversight
• Experience working in global, matrixed environments
• Ability to influence senior stakeholders and drive cross-functional alignment
• Fluency in English and the ability to communicate in Mandarin (for stakeholder management) will be an added advantage

Reg. No. R1110770
BeathChapman Pte Ltd
Licence no. 16S8112

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 valuable outcomes across the APAC markets and businesses.

As an Associate in AI/ML Capabilities, APAC, the individual supports the team in building, enhancing, and scaling AI/ML platforms and tools across the region. The Associate assists in the development, testing, and deployment of AI/ML solutions, helps document technical requirements, and contributes to knowledge sharing and continuous improvement.

Key Responsibilities

• Assist in identifying opportunities for new or improved AI/ML capabilities by gathering and analyzing business and technical requirements.

• Support the design, development, and deployment of AI/ML platforms, tools, and frameworks.

• Help ensure AI/ML solutions are robust, reusable, and compliant with governance standards.

• Contribute to project plans, timelines, and success metrics for AI/ML capability initiatives.

• Promote best practices in AI/ML development, testing, and deployment within the team.

• Support knowledge sharing and continuous learning across functions.

• Conduct research on emerging technologies, industry trends, and regulatory changes in the AI/ML space.

• Prepare presentations, reports, and documentation for stakeholders.

• Assist in ensuring compliance with data management, governance, and regulatory requirements.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related quantitative field.

• 5+ years of experience in AI/ML, data science, analytics, or technology roles, ideally within financial services.

• Foundational understanding of AI/ML concepts, frameworks, and tools.

• Experience supporting the development and deployment of AI/ML platforms and solutions.

• Basic technical knowledge to work effectively with engineering teams.

• Experience working in cross-functional teams.

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

• Ability to help translate business needs into technical requirements.

• Awareness of APAC regulatory requirements and cultural diversity.

Preferred Qualifications, Capabilities, and Skills

• Exposure to building or customizing AI/ML platforms and workflows.

• Interest in ethical AI/ML practices and governance frameworks.

• Experience or interest in the financial services industry, especially in APAC.

• Experience working with or supporting globally distributed teams.

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

https://ars2.equest.com/?response_id=8d957c708fe2b08b51b6db1f4388c2d8

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 valuable outcomes across the APAC markets and businesses.

As an Associate in AI/ML Solutions Enablement, APAC, the individual supports the team in driving awareness, adoption, and value realization of AI/ML solutions across the region. The Associate assists in identifying use cases, gathering business requirements, preparing technical documentation, and supporting the operationalization of AI/ML capabilities. The Associate helps promote AI literacy, facilitates knowledge sharing, and contributes to building a collaborative community around data and AI solutions.

Key Responsibilities

• Assist in identifying and scoping AI opportunities by gathering and analyzing business requirements.

• Support the adoption of AI/ML capabilities within business initiatives, helping to track value and outcomes.

• Work with business and technology teams to understand challenges and help translate requirements into technical documentation and delivery plans.

• Contribute to prioritizing business problems that AI/ML can address, supporting the alignment of solutions with business objectives.

• Help operationalize AI/ML capabilities across business units by supporting project delivery and stakeholder engagement.

• Assist in translating business needs into technical requirements and communicating AI outputs in clear, business-focused language.

• Promote AI literacy and continuous learning within the team, encouraging engagement and development.

• Support knowledge sharing and help build a collaborative community around data and AI solutions.

• Conduct research on industry trends, best practices, and emerging technologies in AI/ML.

• Prepare presentations, reports, and documentation for stakeholders and technical forums.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Applied Statistics, Mathematics, Engineering, or a related quantitative field.

• Formal training or certification and 5+ years of experience in AI/ML, data science, analytics, or technology roles

• Foundational understanding of AI, machine learning (ML), and natural language processing (NLP) concepts.

• Experience supporting data collection, cleaning, analysis, and interpretation to ensure data quality and inform decision-making.

• Basic technical knowledge (such as programming fundamentals or familiarity with AI frameworks) to work effectively with technical teams.

• Experience assisting in the delivery of AI/ML solutions, collaborating with cross-functional teams.

• Strong analytical, problem-solving, and communication skills, with the ability to help translate technical concepts into business value.

• Willingness to learn how to measure the impact and ROI of AI solutions using relevant metrics.

• Ability to work with stakeholders and support change management and collaboration across teams.

• Ability to communicate technical AI concepts in clear, business-focused language.

• Awareness of APAC regulatory requirements and cultural diversity.

Preferred Qualifications, Capabilities, and Skills

• Exposure to building or customizing AI/ML tools and workflows.

• Interest in ethical AI/ML practices and governance frameworks.

• Experience or interest in the financial services industry, especially in APAC.

• Experience working with or supporting globally distributed teams.

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

https://ars2.equest.com/?response_id=bc05c2a8bfe9db6d85928d527cd3d61b

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 valuable outcomes across the APAC markets and businesses.

As an Associate in APAC AI Strategy & Enablement, the individual supports the team in advancing the region’s AI strategy and execution. Working closely with business and functional teams, the Associate assists in the development of AI roadmaps, helps identify and analyze AI use cases, and contributes to the delivery of solutions that drive client value, operational efficiency, and risk management. This role requires a foundational understanding of wholesale banking and asset management business domains, as well as exposure to data and AI capabilities—including data strategy, traditional and frontier AI (GenAI/ML), and agentic AI—implemented safely and compliantly within a Financial Services environment.

The Associate contributes to responsible innovation, helping the region realize commercial value and operational efficiency through analytics and AI solutions, while supporting alignment with global AI governance standards.

Key Responsibilities

• Assist in gathering and analyzing business requirements for AI use cases.

• Support ideation workshops, design sessions, and discovery engagements.

• Contribute to the development of project plans, timelines, and success metrics that drive effective execution of AI initiatives.

• Help translate business needs into clear technical requirements, ensuring AI solutions are tailored for real-world impact.

• Conduct research on industry trends, technology advancements, and regulatory changes.

• Prepare presentations, reports, and documentation for stakeholders.

• Support compliance with data management, governance, and regulatory standards.

• Promote AI literacy and continuous learning within the team.

• Collaborate with cross-functional teams to ensure successful delivery of AI projects.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Computer Science, Data Science, AI, Engineering, or related quantitative field.

• Formal training or certification with 5+ years of experience in AI, data science, technology, or analytics within financial services.

• Understanding of financial services business lines and functions.

• Familiarity with AI/ML concepts, GenAI, and data management.

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

• Experience working in cross-functional teams.

• Ability to learn quickly and adapt to new technologies and business needs.

• Awareness of APAC regulatory environment and cultural diversity.

Preferred Qualifications, Capabilities, and Skills

• Experience supporting AI/ML projects from ideation to delivery.

• Knowledge of capital markets or asset management domains.

• Exposure to data governance and regulatory frameworks.

• Experience in preparing stakeholder communications and reports.

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

https://ars2.equest.com/?response_id=6355bb25c66bde241afb6bcd27a8d850

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 valuable outcomes across the APAC markets and businesses.

As an Associate in AI/ML Capabilities, APAC, the individual supports the team in building, enhancing, and scaling AI/ML platforms and tools across the region. The Associate assists in the development, testing, and deployment of AI/ML solutions, helps document technical requirements, and contributes to knowledge sharing and continuous improvement.

Key Responsibilities

• Assist in identifying opportunities for new or improved AI/ML capabilities by gathering and analyzing business and technical requirements.

• Support the design, development, and deployment of AI/ML platforms, tools, and frameworks.

• Help ensure AI/ML solutions are robust, reusable, and compliant with governance standards.

• Contribute to project plans, timelines, and success metrics for AI/ML capability initiatives.

• Promote best practices in AI/ML development, testing, and deployment within the team.

• Support knowledge sharing and continuous learning across functions.

• Conduct research on emerging technologies, industry trends, and regulatory changes in the AI/ML space.

• Prepare presentations, reports, and documentation for stakeholders.

• Assist in ensuring compliance with data management, governance, and regulatory requirements.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related quantitative field.

• 5+ years of experience in AI/ML, data science, analytics, or technology roles, ideally within financial services.

• Foundational understanding of AI/ML concepts, frameworks, and tools.

• Experience supporting the development and deployment of AI/ML platforms and solutions.

• Basic technical knowledge to work effectively with engineering teams.

• Experience working in cross-functional teams.

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

• Ability to help translate business needs into technical requirements.

• Awareness of APAC regulatory requirements and cultural diversity.

Preferred Qualifications, Capabilities, and Skills

• Exposure to building or customizing AI/ML platforms and workflows.

• Interest in ethical AI/ML practices and governance frameworks.

• Experience or interest in the financial services industry, especially in APAC.

• Experience working with or supporting globally distributed teams.

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

https://ars2.equest.com/?response_id=9a116f4b00da4019821cb6bd26030e58

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

As Vice President for the APAC Data Privacy within the Firmwide Privacy Office, you will support the development and execution of 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 ensure compliance, operational effectiveness, and a strong culture of data protection.

Key Responsibilities

• Support projects to strengthen the firm’s privacy program from an APAC perspective.

• Assist in the design and implementation of privacy initiatives, adapting global programs for the APAC region.

• Advise on privacy requirements for new business initiatives, including privacy notices, cookies notices, and regulatory compliance.

• Help map regulatory requirements for Data Protection Officers (DPOs) across APAC.

• Contribute to data incident risk assessments and breach notification processes.

• Draft and maintain governance documentation, such as Statements of Responsibility, appointment documents, 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, including those related to privacy regulator interactions.

• Provide guidance on AdTech, online tracking, biometrics, AI, children’s privacy, and data deletion.

• Participate in training sessions and regional strategy planning.

Required Qualifications, Capabilities, and Skills

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

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

• Strong technical skills and ability to advise on privacy requirements for new initiatives.

• Experience with data protection impact assessments, risk assessments, and breach notification processes.

• Knowledge of APAC privacy laws and regulations, with familiarity in global frameworks such as GDPR and CCPA.

• Ability to work independently and collaborate across functions and geographies.

Preferred Qualifications, Capabilities, and Skills

• Legal or compliance background.

• Familiarity with the three lines of defense model.

• Privacy certifications such as CIPP-A, CIPP-E, CIPP-M, or equivalent.

• Understanding of AdTech, online tracking, and emerging privacy technologies.

• Experience supporting DPO activities and participating in DPDA programs.

• 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=9fe48707385e687fa5137330b0f99b40

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.

• 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.

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.

• 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=097f47ea181c6cd9f5337b1f45ace216

General Manager (M&E Department)

• Working Days: 5 Days A Week (Monday – Friday), 8.30am to 5.30pm

• Office at City Hall

• Salary: $12,000 to $15,000

• Reputable Mechanical Engineering or Electrical Engineering Bachelor’s Degree

• Proven capability to:

a. Undertake leadership role in a M&E Consultant, Main Contractor or Specialist Company

b. Develop services design in a design-and-built contract

c. Call and critically assess M&E tender quotations.

d. Execute effective cost control of M&E works.

• Completed full project cycles of:

a. Data Centres and;

b. Private Residential projects or

c. Hospitality projects

• Conversant in BIM for purposes of design and estimation

• Green certification – e.g. BCA Green Mark Manager / LEED Professional

• Develop / guide staff to develop in-house clear breakdown of contract costs for in-tender assessment and post-award contract administration.

• Track record of main equipment procurement experience.

Interested applicants can also send your resume to (Liwenpoh741#gmail.com) and allow our consultant to match you with our clients. No Charges will be incurred by Candidates for any service rendered.

WA ME 9735 4019 for more General Manager (M&E Department) role

Job scopes

• Leadership to the M&E Team, both in Head Office and on Site, in compliance with Company Policies, for the professional and dutiful execution of their respective roles.

a. Corporate Targets

• Plan and deliver in association with other departments the yearly and midterm award, sales and profit targets set by Corporate Head Quarters.

b. Human Resources

• Develop career trajectories and competency training of all M&E staff.

• Set KPIs and monitor performance of all M&E staff.

c. Design and Tender

• Ensuring the optimal design, including specifications and drawings, to develop a common basis for the quotation of each service in each tender.

• Develop and maintain a good pool of subcontractors to support the Company in Tender and Works.

• Obtain and assess critically competitive quotations in compliance with Company governance.

• Develop Value Engineering during tender and through works execution to improve on profit margins of the project.

d. Works

• Develop and monitor execution and cost control plans for projects.

• Ensure M&E works quality and timeliness within working budget.

• Develop and maintain a Corporate QA/QC plan for in-process and post completion maintenance works to improve on current and future project quality.

e. Others

• Subcontractors and Suppliers resources pool – develop and maintain excellent relationships to ensure that the Company has adequate support from these stakeholders.

• Any other ad hoc projects and tasks assigned by Management.

POH LI WEN REG NO: R25136683

THE SUPREMEHR ADVISORY PTE LTD EA NO: 14C7279

About the Role

Lead key client accounts in large-scale data center and mission-critical projects. Combine project delivery oversight with strong client relationship and commercial management responsibilities.

Job Responsibilities

• Lead multidisciplinary technical and project delivery teams across all phases
• Serve as primary account lead and trusted advisor for key clients
• Drive client relationship management and structured account coordination
• Ensure projects are delivered on time, within budget, and to agreed technical, safety, and quality standards
• Oversee consulting activities and technical services to enhance client satisfaction and profitability
• Contribute to sales strategy, commercial negotiations, and business development
• Identify repeat business opportunities and expand client accounts
• Guide project teams using strong construction, engineering, and project management expertise
• Support regional market growth across SEA/APAC

Job Requirements

• 10 years above of project management experience in construction, consultancy, or mixed-delivery environments
• Proven experience in data centre newbuilds, fit-out, or mission-critical infrastructure
• Good account management, stakeholder engagement, or client-facing leadership skills
• Demonstrated ability to manage senior stakeholders and negotiate commercial matters
• Practical site experience with ability to interpret technical drawings and validate progress
• Degree in MEP, Civil Engineering, Project Management, Construction Management, or related discipline
• Regional exposure managing projects or client accounts across SEA/APAC is preferable

Interested candidates, please email your resume to cchin@goughrecruitment.com or apply directly via this job posting.

Chin Chu Long (Carsten) | Personal Reg No: R26160065

GOUGH RECRUITMENT (S) PTE. LTD. | EA Licence No. 11C3753

Responsibilities

• Oversee operations across hybrid environments including cloud and on-premises infrastructure
• Manage enterprise platforms such as Windows Server, Active Directory, virtualization, and cloud services
• Lead cloud adoption and migration initiatives, ensuring seamless transition and minimal business disruption
• Ensure infrastructure reliability, performance, and security across systems
• Drive managed services operations with a focus on SLA adherence and service quality
• Manage day-to-day operations including incident resolution, escalation handling, and service continuity
• Lead major incident management and ensure timely resolution of critical issues
• Monitor system performance and implement improvements to enhance stability and efficiency
• Oversee data center operations, including backup, disaster recovery, and business continuity planning
• Manage system upgrades, patching, and lifecycle management of infrastructure components
• Ensure readiness and execution of DR drills and recovery procedures
• Support platform standardization and automation initiatives
• Lead infrastructure transformation, migration, and onboarding projects
• Define project scope, timelines, and deliverables aligned with business requirements
• Ensure smooth transition of services into operations with proper documentation and governance
• Collaborate with cross-functional teams for successful project execution
• Ensure adherence to ITIL processes including incident, problem, and change management
• Drive risk identification, mitigation planning, and compliance with security standards
• Support audit activities and implement corrective actions where required
• Maintain accurate documentation, reporting, and governance frameworks
• Lead and mentor large, multi-technology teams across geographies
• Act as the primary escalation point for technical and operational issues
• Build strong relationships with clients, stakeholders, and internal teams
• Provide regular updates, reports, and insights to leadership on service performance
• Drive service improvement initiatives and operational efficiencies
• Promote automation to reduce manual efforts and improve delivery speed
• Identify opportunities for optimization in infrastructure and service delivery

Requirements

• 17+ years strong experience in IT Infrastructure & Data Center Operations
• Strong experience in Azure Cloud, AWS, and Hybrid Environments
• Solid experience in Windows Server, Active Directory, and Virtualization (VMware/Hyper-V)
• Experience in backup, disaster recovery, and high availability solutions
• Strong experience in ITIL processes and service management frameworks
• Experience in managing large-scale enterprise environments and global delivery models
• Hand on experience in Email Gateways and Identity Management
• Experience in DNS, DHCP
• Hands on experience in Security Tools
• Proven ability to lead technical teams and manage stakeholder relationships
• Preferred Certifications in Azure, AWS, or VMware
• Hand on experience in managed services or global delivery environments
• Experience in security, compliance, and audit frameworks
• Experience in Team management

This is a full-time hybrid role for a Chief Data Scientist based in Singapore. The Chief Data Scientist will lead data strategy initiatives, oversee data analysis projects, and drive innovation in the application of data science to solve complex organisational challenges. Responsibilities include developing AI models, uncovering data patterns, mentoring a team of data professionals, and collaborating with key stakeholders to devise data-driven solutions that align with the organisation's goals.

Qualifications

• Master’s or Ph.D. in a related field such as Data Science, Computer Science, or AI is strongly preferred
• Design and develop multi-agent reinforcement learning (MARL) models for complex, real-world environments
• Build and evaluate counterfactual and causal inference models for decision support
• Collaborate on system architecture integrating learning, simulation, and optimisation components
• Conduct experiments, simulations, and performance evaluations
• Translate research concepts into practical, deployable solutions
• Expertise in Computer Science and Data Science, with proficiency in Python and ML frameworks
• Exceptional leadership, problem-solving, and decision-making capabilities
• Experience in driving data strategy and implementing data-driven solutions in a business environment