Total 108 Manager data entry job vacancies in Information Technology category in Singapore

Your new company

Our client in public sector is looking for an experienced Data Science Manager to join their team.

Your new role

• Translate strategic direction into actionable ML/AI digital transformation plans, ensuring scalable architecture and responsible AI standards.
• Define and drive CIO Office outcomes and OKRs, aligning with HQ goals and executing long-term roadmaps.
• Identify inefficiencies, anticipate risks, and take decisive action to improve operations and seize opportunities.
• Build cross-functional partnerships and foster a culture of innovation, collaboration, and continuous improvement.
• Develop and manage high-performing teams through coaching, hiring, and creating an environment for sustained performance.

What you'll need to succeed

• Bachelor’s or Master’s degree in Computer Science, Statistics, AI, or related quantitative field.
• Deep expertise in satellite data, cloud infrastructure, and government security requirements.
• 10+ years of technical leadership experience in data analytics, database management, and software development.
• Knowledge of space systems such as mission control software, orbital analysis, and space weather tools (preferred).
• Excellent communication and strategic thinking skills, with the ability to translate complex concepts into actionable plans, plus program management experience.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

Job Description

About us 

Dyson is a global technology company with a simple mission: solve problems others ignore. We pioneer radically better technologies across categories—from intelligent vacuums and haircare to connected purifiers and emerging product innovations. As Dyson products become increasingly intelligent, connected and insightdriven, our digital and data capabilities enable us to deliver exceptional owner experiences, discover critical enterprise insights, and unlock new opportunities throughout the product lifecycle. 

About the role 

As a Data Product Manager in Singapore, you will play a pivotal role as part of shaping Dyson's next-generation digital initiatives that put our customers at the centre, provide functional insights to the business, and foster innovation across all touchpoints. 

Working closely with Digital Transformation Managers and App/IT delivery teams, you will: 

• Own the data and tracking requirements for Dyson’s IoT-connected products. 

• Contribute to Dyson’s digital vision and transformation roadmap.  

• Create and define Data Product requirements. Manage Data Product feasibility across product development milestones and reviews.  

• Ensure cross-team alignment on tasks across multiple backlogs (e.g. App, Cloud, Embedded Software, Enterprise IT, etc).

• Manage expectations of Data Product delivery with senior Dyson stakeholders. 

• Work to Lean and Agile practices, supporting teams as we look to improve flow. Provide concise reporting and communication of the data roadmap, planning and delivery. 

About you 

• Experience in data product management, DA/BI and software development, including working knowledge of data/analytics technologies. Natural tendency to think Data first. 

• Outstanding interpersonal communication skills and comfortable with a high change environment. Excellent personal organisation, with proven ability to take requirements, generate a plan, and execute against it. 

• Experience working in a multi-disciplinary team on challenging project outcomes.  

• Strong commercial awareness and knowledge of the objectives of different business functions - what their respective roles are, and how they typically relate. 

• Ability to influence others and communicate the impact at senior levels. Comfortable in engaging with multiple stakeholders (technical and non-technical)  

Benefits

Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

This role reports to the Deputy Director (Data Strategy and Capabilities Building) and leads organisation-wide Data & AI capability planning, with a strong focus on driving adoption and sustained use across the organisation.  The role is accountable for translating Data & AI strategy into tangible adoption outcomes, by designing and executing approaches that embed Data & AI into day-to-day work.

Responsibilities:
Key responsibilities include:

Adoption Strategy & Delivery

·       Lead organisation-wide Data & AI capability planning and adoption efforts aligned to enterprise priorities

·       Translate strategy into clear adoption approaches that drive usage and behavioural change

·       Identify barriers to adoption and implement targeted interventions (e.g. pilots, campaigns, initiatives) to improve uptake

·       Track adoption outcomes (e.g. participation, usage, impact) and refine approaches based on results

Adoption Design

·       Develop clear and compelling adoption propositions for different stakeholder groups, articulating relevance and value

·       Design approaches that build momentum and participation (e.g. champions networks, communities of practice, targeted engagement efforts)

·       Shape how Data & AI is positioned and communicated across the organisation to drive understanding and interest

Portfolio & Stakeholder Management

·       Oversee a portfolio of capability and adoption initiatives, ensuring alignment and scalability across the organisation

·       Work across technical, strategy, and programme teams to bridge capability development and actual adoption outcomes

·       Engage senior stakeholders to drive ownership, prioritisation, and sustained participation

·       Support transition of initiatives from exploration into operational use

Planning & Reporting

·       Provide planning and coordination across capability and adoption workstreams

·       Track progress, risks, dependencies, and adoption outcomes for management reporting

·       Support prioritisation and resource alignment across initiatives

Requirements:

• At least 6–8 years of relevantexperience in programme management, transformation, data or digital roles.

• Strong ability to operate across technical and non‑technical contexts.

• Good understanding of enterprise Data and AI considerations, including governance and infrastructure.

• Strong planning, synthesis and stakeholder coordination skills.

• Comfortable operating across strategy and execution in a complex organisational environment.

Successful candidates will be offered a 1-year contract with potential for a 1-year extension and consideration for permanent tenure thereafter.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting

About STTGDC

Be part of a global leader in data centre solutions

ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, Italy, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.

Why STT GDC

STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.

✨ Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.

Our client, a leading global technology organization, is seeking an experienced Program Manager to drive operational excellence, process optimization, stakeholder management, and large-scale business transformation initiatives across regional and global operations.

This is a contract role ending on 12 Feb 2027.

Responsibilities:

• Develop, maintain, and continuously improve standard operating procedures (SOPs), process maps, workflow documentation, knowledge resources, training materials, and certification programs to ensure operational consistency and scalability.
• Lead and contribute to strategic projects that address large-scale operational challenges by partnering with cross-functional stakeholders on project scoping, execution, implementation, and change management activities.
• Analyze operational performance trends, identify inefficiencies, and implement process improvements that enhance productivity, resource utilization, automation adoption, cross-site collaboration, and overall operational effectiveness.
• Manage supplier and internal partner selection processes, onboarding activities, performance evaluations, and progress reviews to ensure successful delivery of project objectives and operational outcomes.
• Collaborate with internal stakeholders and service providers to simplify complex workflows, implement process enhancements, and develop workflow efficiency frameworks that proactively identify operational gaps and improvement opportunities.
• Drive exceptional customer and employee experiences across end-to-end programs, policies, and operational processes by ensuring efficient and scalable service delivery models.
• Drive the ideation, development, launch, and scaling of solutions that improve operational efficiency, customer satisfaction, cost optimization, capacity planning, and business performance at local, regional, and global levels.

Requirements

• 7+ years of experience managing operational processes, including SLA governance, queue and ticket management, customer support operations, and service delivery performance monitoring.
• Strong data analytical skills with the ability to collect, synthesize, interpret, and leverage data to support operational planning, decision-making, and continuous improvement initiatives.
• Strong understanding of business operations, industry practices, and domain-specific knowledge, with the ability to translate business requirements into scalable operational solutions.
• Experience identifying, implementing, and managing process improvements, automation opportunities, and operational efficiency initiatives using relevant tools and technologies.
• Strong stakeholder, client, and partner management skills, with the ability to build trusted relationships, influence decisions, manage expectations, and drive alignment across cross-functional teams.

KeyResponsibilities

• Lead and develop a team of data centre engineers and technicians, ensuring effective 24/7 operations.
• Oversee day-to-day data centre operations, ensuring high uptime and service availability.
• Manage critical infrastructure including UPS, generators, cooling systems, and BMS.
• Plan and coordinate maintenance activities, upgrades, and capacity expansion.
• Monitor capacity utilisation, optimise energy efficiency, and control operational costs.
• Handle incident management, including root cause analysis and implementation of corrective actions.
• Manage vendors and contractors, ensuring performance standards and service delivery.
• Oversee preventive and corrective maintenance across electrical, mechanical, and IT systems.
• Ensure compliance with safety, regulatory, and industry standards.
• Act as the main point of contact for stakeholders and provide regular operational updates.

Requirements

• Degree in Engineering, Information Technology, or a related field.
• Minimum 8 years of experience in data centre operations, including at least 5 years in a leadership role.
• Strong understanding of data centre infrastructure, including electrical, mechanical, and IT systems.
• Experience in data centre setup, operations, and infrastructure management.
• Familiarity with industry standards (e.g., ISO 27001).
• Strong leadership, communication, and stakeholder management skills.
• Experience in budgeting, planning, and continuous improvement initiatives.
  
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Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Qualifications

Job responsibilities

• Serve as a high-level individual contributor and thought leader, partnering with App Ads engineering and product leads to facilitate strategic, data-driven decision-making and facilitate cross-functional knowledge sharing.
• Conduct sophisticated quantitative analysis of performance metrics and market dynamics to drive business outcomes and long term product strategy that align with KPIs.
• Lead the development of advanced experimentation and measurement frameworks to design business-critical tests that deepen understanding of the ads ecosystem and refine product roadmaps.
• Design comprehensive data tracking plans and infrastructure for new feature launches, performing deep dives into session-level trends to prioritize engineering resources and identify growth opportunities.
• Build centralized business metric hubs to monitor key performance drivers, providing early intelligence on competitive risks, market opportunities, and the overall health of the App Ads business.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience. 
• 8 years of experience in program management.
• Experience with the software development life cycle and managing engineering programs.
• Experience with designing and executing A/B testing, incrementality testing, or advanced measurement frameworks and statistical modeling.

Preferred qualifications

• Experience leading large-scale, complex programs to deliver innovative and high-impact solutions.
• Experience in software programming or with scripting languages (R, SQL, Python, etc.).
• Experience applying advanced statistical modeling and quantitative methods to drive data-informed decision-making.
• Experience translating business challenges into structured analysis.
• Experience with the digital advertising ecosystem.
• Strong stakeholder management and communication skills.

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

As the Software Engineering Manager for Enterprise Data Protection in Singapore, you will be the foundational lead for a new security team. You will act as a technical leader to hire and manage security engineers to establish our security engineering function. You will coordinate with peers in Enterprise Data Protection's software engineering team to achieve our risk reduction goals. You will lead and have the ability to drive security engineering outcomes, build and lead effective security teams, and foster a collaborative environment to achieve collective goals.

Qualifications

Job responsibilities

• Lead a team of software engineers to implement holistic security controls across all systems at Google that process or store our intellectual property.
• Work with a wide variety of cross-functional roles within Core or Privacy, Safety & Security (PSS) and with stakeholders in our Product Areas (PAs) to implement controls that prevent or reduce the risk of data ex-filtration events.
• Define the security requirements for the next generation of security controls that are context aware and help mitigate the risk of Google's increased use of agentic AI.
• Partner with security engineers within Enterprise Data Protection to define requirements for the systems and infrastructure needed to achieve our data protection goals, including AI-based classification systems.
• Build a team in Singapore that has excellent culture and engineering standards.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with building, deploying and using automation for security workflows, including both AI-driven and traditional automation tools.
• Experience in managing an engineering team, with knowledge of security domains, particularly in threat modeling and data protection controls.
• Ability to manage a phased program rollout, transitioning operational ownership and scaling technical infrastructure.
• Ability to partner with global stakeholders to align team goals with broader organizational objectives.

Role Accountabilities (What is this role responsible for delivering?)

• Define and execute a comprehensive data and AI strategy aligned with business objectives.
• Champion a data-driven culture across the organization.
• Lead the development of enterprise data platforms, ensuring scalability, security, and performance.
• Establish and enforce data governance frameworks, including data quality, lineage, stewardship, and metadata management.
• Ensure compliance with global and regional data privacy regulations (e.g., GDPR, PDPA).
• Oversee data risk management and audit readiness.
• Lead data teams, including data science to identify AI/ML opportunities, partnership with business partners.
• Ensure data readiness and infrastructure to support model development and deployment.
• Implement AI governance practices to ensure ethical, explainable, and responsible AI use.
• Lead the design and implementation of integration architectures. (e.g., APIs, event-driven systems, data pipelines)
• Drive modernization of legacy systems to support real-time and scalable integrations.
• Oversee the development and maintenance of data lakes, warehouses, and real-time data platforms.
• Ensure alignment with enterprise architecture and cloud strategies (e.g., Azure, AWS, GCP).
• Promote reusable data assets and self-service analytics capabilities.
• Collaborate with C-level executives, business leaders, and IT to align data initiatives with strategic goals.
• Drive change management efforts to embed data and AI into business processes.
• Communicate data value and insights to non-technical stakeholders.
• Build and lead high-performing teams across data engineering, integration, and governance.
• Foster a culture of innovation, continuous learning, and cross-functional collaboration.
• Develop talent pipelines and upskill teams in AI, data engineering, and integration technologies.

People Management

• Lead employees to meet the organisation's expectations for productivity, quality, and goal accomplishment.
• Provide oversight and direction to the employees in the team in accordance with the organisation's policies and procedures.
• Plan staffing levels and work with Human Resources to recruit, interview, select, hire, and employ the right people within budgetary guidelines.
• Coach, mentor and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities.
• Consciously create an engaging workplace culture that emphasizes the identified mission, vision, guiding principles, and values of the organisation.
• Lead employees using a performance management and development process including goal setting, feedback, and performance development planning.
• Empower employees to take responsibility for their jobs and goals. Delegate responsibility, drive accountability and provide regular feedback for continuous improvement.
• Manage and maintain effective employee work schedules including assignments, job rotation, training, vacations and paid time off, cover for absenteeism, and overtime scheduling.
• Maintain two-way transparent communication. Appropriately communicate organization information through department meetings, one-on-one meetings, and appropriate email, IM, and regular interpersonal communication.
• Deliver key people related activities in conjunction with the People Division that will lead to the enhanced engagement and retention of team members.
• Champions team collaboration by fostering an inclusive environment that encourages open communication and the sharing of ideas across all levels.
• Drives cross-functional initiatives by building partnerships and influencing stakeholders to achieve common goals without formal authority.
• Leads by example, demonstrating accountability, resilience, and a solution-oriented mindset to inspire others.
• Promotes the adoption of best practices by identifying process improvements and advocating for positive change within the team.
• Influences decision-making by presenting data-driven insights and articulating the team’s perspectives to management and other departments.
• Promotes a culture of recognition by celebrating team achievements and encouraging a sense of shared success.
• Supports the onboarding and integration of new team members, helping to build a cohesive and high-performing unit.

Crisis Management

• Make every effort to be aware of and understand your role in the event of a crisis.
• Make every effort to attend any relevant training, simulations and or meetings relating to Crisis Management.
• Perform your role as best as possible in a calm and collaborative manner in line with the relevant policy and procedures in the event of a Crisis.
• Provide input and feedback towards the ongoing improvement of the Crisis Management framework and procedure.

Key Qualifications & Skills (What knowledge will ensure success in the role?)

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Artificial Intelligence or related field.
• Master’s or PhD preferred for strategic leadership roles.
• 10+ years in data-related roles. (engineering, analytics, science, governance)
• 7+ years in leadership or strategic roles.
• 5+ years governance related experience.

Certifications (optional but valuable):

• Data Science & AI Foundations
  - Data Science Specialization – Johns Hopkins (Coursera)
  -AI for Everyone – Andrew Ng (Coursera)

• Professional Certificate in Machine Learning and AI – edX (MIT or Columbia)
  - Executive & Strategic AI
  - Oxford Executive Program in AI
  - MIT Sloan – Artificial Intelligence: Implications for Business Strategy
  - INSEAD – AI for Business
  - AWS/GCP/Azure Data Engineering or Architecture certifications
  - TOGAF (for enterprise architecture)

• Responsible AI & Governance
  - Responsible AI Certification – World Economic Forum / IEEE
  - AI Ethics and Governance – Singapore Management University (SMU
  - Certified Data Management Professional (CDMP)
  - PMP or Agile certifications (for project leadership)

• Proven track record of building and scaling data teams and platforms.
• Must be able to interact effectively across multiple levels of the organization.
• Strong problem-solving abilities, with a data-driven and analytical approach to process improvement.
• Excellent communication and interpersonal skills, facilitating collaboration between technical and non-technical stakeholders.
• Knowledge and experience in executive reporting.

Technical Skills

Data Architecture & Engineering:

• Designing scalable data platforms. (data lakes, warehouses, marts)
• ETL/ELT pipelines using tools like Apache Airflow, dbt, Informatica.

Cloud Platforms:

• Deep expertise in AWS, Azure, or Google Cloud.
• Services like Redshift, BigQuery, Snowflake, Databricks.

Programming & Tools:

• Python, SQL, Spark, Scala.
• Familiarity with R, Java, or Julia is a plus.

Data Governance & Quality:

• Master data management (MDM), metadata management.
• Data lineage, cataloging. (e.g., Collibra, Alation)

Analytics & BI:

• Tools: Power BI, Tableau, Looker.
• Experience with KPI frameworks and dashboarding.

Machine Learning & AI (if applicable):

• Model lifecycle management, MLOps.
• Experience with ML platforms. (e.g., SageMaker, Vertex AI)

Security & Compliance:

• GDPR, CCPA, HIPAA. (depending on industry)
• Data encryption, access controls, audit trails.

Professional Skills

Strategic Thinking:

• Aligning data strategy with business goals.
• Driving data monetization and innovation.

Leadership & Team Building:

• Hiring, mentoring, and managing cross-functional data teams.
• Fostering a data-driven culture.

Stakeholder Engagement:

• Communicating with C-suite, product, engineering, and business units.
• Translating data insights into business value.

Project & Change Management:

• Leading data transformation initiatives.
• Managing budgets, timelines, and vendor relationships.

Communication & Storytelling:

• Presenting complex data insights in a compelling way.
• Influencing decisions through data narratives.

Adaptability & Continuous Learning:

• Staying current with data trends, tools, and regulations.
• Encouraging experimentation and innovation.

By submitting your CV, you are deemed to have agreed and consent to the collection, use and/or disclosure of your personal data to the Company for the purposes of recruitment and employment only in accordance with the Company's Recruitment Data Privacy Policy on our website.

Swire Shipping is committed to ensuring equal equitable access and participation for persons who experience disability. SSL is committed to treating persons with disability in a way that allows them to maintain their dignity and independence. Reasonable adjustments can be made upon request based on understanding of those accommodations.

Across Swire Shipping, we seek to create a supportive and inclusive environment that embraces individuality and recognise the benefits that these differences make. We do this by ensuring that all individuals are treated with respect and understanding and actively promote Equal Employment Opportunity (EEO) and do not tolerate discrimination, harassment, bullying, retaliation or intimidation of any kind. We are committed to driving the strategy, policies and accountability to build and sustain a diverse global workforce, through equitable processes and systems where everyone can contribute their very best.

Job Description:

1. Must have experience in data centre deployments, building large-scale infrastructure.
2. Knowledge of network routing and switching concepts and protocols including BGP, TCP/IP, VLAN, ISIS, OSPF, and MPLS
3. Comfortable accomplishing basic tasks from Linux/Unix command line interface
4. Demonstrated ability to analyse complex situations and utilize troubleshooting skills, systems and tools, and creative problem-solving abilities under pressure.
5. Experience with Service Provider network hardware platforms and architectures including routers/switches and data center switching platforms is preferred (Good to have)
6. Experience with field-based work in data centers

On behalf of one of its clients, an Insights & Strategy Consultancy, the French Chamber of Commerce is looking for a Data & Insights Manager – Financial Services.

Our client is a premium subscription-based insights and data platform, partnering with leading luxury brands across multiple luxury verticals. The platform enables financial services players to better understand affluent and High Net Worth (HNW) consumers, strengthen client acquisition and retention strategies, and grow market share in highly competitive environments.

This role combines strategic consulting, client advisory, and business development, helping financial services clients unlock growth opportunities through high-value consumer insights.

Key Responsibilities

- Partner closely with Senior Directors to identify, scope, and structure consulting engagements, develop commercial proposals, and assess return on investment.

- Translate affluent and HNW consumer data into clear, insight-led strategic narratives that demonstrate measurable business impact for financial services clients.

- Play an active role in business development, upselling, and account expansion, contributing directly to revenue growth and repeat engagements.

- Present insights, strategic recommendations, and commercial implications to senior client stakeholders, including C-suite and regional decision-makers.

- Act as a trusted advisor and subject-matter expert during client meetings, workshops, and industry events in Singapore and the wider APAC region.

- Deliver high-impact insights, strategic frameworks, and actionable roadmaps tailored to banking, insurance, and wealth management organizations.

- Lead client workshops and training sessions to embed insights across marketing, CRM, digital, and product teams.

- Collaborate with project managers and cross-functional teams to ensure on-time, on-budget delivery of consulting engagements.

- Build and maintain strong, long-term client relationships, driving adoption of recommendations and measurable post-engagement outcomes.

- Contribute to the development and growth of the subscription-based insights and data offering for financial services brands in Singapore and APAC.

- Meet or exceed individual revenue and upsell targets, supporting sustainable account growth.

- Ensure high levels of client satisfaction, evidenced by strong post-engagement feedback and visible client action.

Requirements

• 8+ years’ experience in consulting, insights, analytics, or solution engineering within financial services.
• Strong consultative, storytelling, and presentation skills with senior stakeholders.
• Proven track record of meeting revenue, upsell, or utilisation targets.
• Experience leading client workshops and strategic sessions.
• Confident public speaker with international client exposure.
• Strong commercial mindset and ability to turn data into actionable recommendations.
• Collaborative and comfortable working with cross-functional teams.
• Willingness to travel across EMEA and APAC.

About the Team:

Shopee’s Data Infrastructure team builds the company’s stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform. Including data collection, storage, offline calculation of massive data, real-time stream computing, online analysis and processing, instant return query, and other aspects of data infrastructure support, as well as big data development, production scheduling, data quality monitoring, data maps, and other platform services. Provide the upper-level business team and data team with a basic platform for various technical directions such as computing scheduling, batch computing, real-time computing, structured data query, big data analysis, and KV query. Help business teams build data reports, data monitoring dashboards, real-time business data processing, data mining, and analysis, etc.

Job Description:

• Manage one of the Data Suite products, including but not limited to Data Map, Data Integration, Data Development, Data Management, Data Quality, Data Services, Data Metrics, Data Visualisation, etc.

• Responsible for requirements analysis, product design, product prototyping as well as product operation.

• Understand user needs and big data use cases, abstract complex requirements or scenarios into solutions, and implement them in the product to empower users.

• Develop and maintain user relationships and communication channels with users, synthesize product features from users’ requirements and feedback.

• Explore and continuously learn the best practices from the big data industry, and continuously plan the product blueprints in the long term.

Job Requirements:

• Bachelor’s Degree or higher in any field.

• At least 1 year of full time product management / technical product management experience.

• Prior experience with data-related products is preferred, as this role supports the Data Infrastructure team.

• Familiarity with the full data lifecycle, including management, development, and product application

• Excellent stakeholder management and cross-functional collaboration skills

• Strong logical thinking with a proactive, service-oriented mindset.

About the company
A leading financial services group with a strong global presence is looking to expand its regulatory and governance capabilities in Singapore. The organization is recognized for its commitment to excellence and long-term stability in providing comprehensive risk management solutions.

About the job

This is a critical senior position within the compliance division focused on spearheading the organization's data governance strategy and ensuring alignment with regional regulatory standards.

• Lead the end-to-end development and implementation of the corporate data governance framework, including all associated policies and standards.

• Establish robust data lifecycle protocols and classification schemes to ensure information is managed securely and efficiently across the business.

• Design and execute monitoring mechanisms to evaluate data quality and integrity across various enterprise systems and databases.

• Drive data literacy initiatives across all business units to strengthen organizational understanding of data control and management obligations.

• Collaborate closely with the Data Protection Officer and key stakeholders to assess risk levels and monitor the effectiveness of governance controls.

Skills and experience required

• At least 6 of specialized experience in data governance or data management within the financial services sector.

• Proven track record in developing and maintaining data governance framework, policies, and procedures.

• Strong analytical and project management abilities with a focus on resolving complex governance issues.

• Exceptional stakeholder management skills with the ability to provide advisory support to diverse business units.

To apply online please use the 'apply' function, alternatively you may contact Lynette Lim. (EA: 94C3609/ R1435181 )

Job Description & Requirements

Our client is a Global Service Solution Provider, this client pride themselves on firm commitment to the personal development of their employees. With an established branches in more than 60 countries.Where the regional HQs is in the United States, United Kingdom, and Singapore. And additional outlets in Japan, Germany, India, Australia, South Korea, Indonesia, Dubai, and Vietnam.

With a global customer base, this client seek bright and dynamic individuals to join their growing and expanding team. This team offer their employees opportunities to learn and grow in a dynamic and fast-paced environment.

What our Client is Looking For

• 10+ years of data center related experience in the APAC region with good understanding of Indonesia data centre market
• Proven track record in bringing in new customers and closing deals, ideally strong connections with Chinese enterprises and Chinese hyperscalers customers
• Strong business acumen with proven experience on managing P/L
• Experience with obtaining construction permits and liaising with government and energy agencies on obtaining necessary licenses and utilities.
• Experience with fast-track design/build projects and or multiple significant upgrade projects.
• Good understanding of data center site selection requirement and project development/ design and build mechanism.
• Experience in business negotiation with vendors, supplier, consultant and government agency.
• Possess leadership and problem-solving skills.
• Motivated and highly dependable, requiring limited oversight.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

The Integration Manager is responsible for coordinating the technical infrastructure and system‑integration activities required to transition a constructed facility into a fully operational data centre. The role ensures that ICT infrastructure, critical systems, and cross‑discipline interfaces are delivered in a coordinated, compliant, and timely manner.

• Oversee delivery and integration of ICT and technical fit‑out works in line with approved designs and project plans.
• Coordinate interfaces across engineering, security, and supporting disciplines to enable seamless system integration.
• Validate technical installations against design requirements and readiness criteria.
• Support build‑readiness, commissioning preparation, and handover activities.
• Manage integration risks, issues, and dependencies, driving resolution across stakeholders.
• Coordinate contractors, vendors, and suppliers, ensuring clear accountability and alignment.
• Support logistics planning, equipment delivery, staging, and sequencing activities.
• Provide regular status updates covering progress, risks, and key milestones.
• Support change control, programme coordination, and critical‑path management.
• Facilitate cross‑team collaboration and communication throughout delivery and commissioning phases.