Total 1,237 data entry job vacancies in Information Technology category in Singapore

Job Title: AI Data Associate / Evaluator
Working Location: Alexandra Technopark
Project Period: 2 weeks, from 15 Jun 2026 to 26 Jun 2026

Summary

This role involves evaluating digital assets based on predefined acceptance criteria and quality standards. Responsibilities include reviewing assets, making approval or rejection decisions, identifying quality issues, providing feedback, and ensuring consistent and accurate evaluations in accordance with project requirements.

Job Description

• Evaluate and review assets based on project guidelines and acceptance criteria.
• Approve or reject assets while ensuring quality, accuracy, and compliance.
• Identify discrepancies and provide feedback for improvement.
• Conduct research and validation using reliable online sources when required.
• Maintain accurate records of evaluation results and project activities.
• Ensure timely and consistent completion of assigned tasks.

Job Requirement

• Strong attention to detail and ability to follow guidelines accurately
• Good analytical and problem-solving skills
• Able to work independently and meet deadlines
• Proficient in basic computer applications and internet research
• Proficiency in Korean (reading, writing, and comprehension) is required to review and annotate Japanese-language content, ensuring accuracy and relevance in line with business needs
• Prior experience in data annotation, content review, quality assurance, or AI-related projects is an advantage.

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Data Center Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 2-3 years of relevant experience for a data centre

Work Locations

Bedok/Woodlands

(Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $4800

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

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

Job Title: AI Data Associate / Evaluator
Working Location: Alexandra Technopark
Project Period: 2 weeks, from 15 Jun 2026 to 26 Jun 2026

Summary

This role involves evaluating digital assets based on predefined acceptance criteria and quality standards. Responsibilities include reviewing assets, making approval or rejection decisions, identifying quality issues, providing feedback, and ensuring consistent and accurate evaluations in accordance with project requirements.

Job Description

• Evaluate and review assets based on project guidelines and acceptance criteria.
• Approve or reject assets while ensuring quality, accuracy, and compliance.
• Identify discrepancies and provide feedback for improvement.
• Conduct research and validation using reliable online sources when required.
• Maintain accurate records of evaluation results and project activities.
• Ensure timely and consistent completion of assigned tasks.

Job Requirement

• Strong attention to detail and ability to follow guidelines accurately
• Good analytical and problem-solving skills
• Able to work independently and meet deadlines
• Proficient in basic computer applications and internet research
• Proficiency in Korean (reading, writing, and comprehension) is required to review and annotate Korean-language content, ensuring accuracy and relevance in line with business needs
• Prior experience in data annotation, content review, quality assurance, or AI-related projects is an advantage.

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The Data Center Engineer will be responsible for overseeing the daily operations of our data center facilities, ensuring optimal performance, reliability, and security. The ideal candidate will have extensive experience managing data center infrastructure, troubleshooting hardware and network issues, and implementing best practices for environmental and power management.

Key Responsibilities:

• Monitor and maintain data center physical and virtual infrastructure to ensure 99.99% uptime.

• Manage power systems, including UPS, generators, and distribution units.

• Maintain environmental controls such as cooling, humidity, fire suppression, and security systems.

• Troubleshoot and resolve hardware, network, and environmental issues promptly.

• Perform routine inspections, preventive maintenance, and upgrades of data center equipment.

• Coordinate with vendors and internal teams for repairs, upgrades, and capacity planning.

• Develop and update documentation related to data center configurations, procedures, and incident reports.

• Ensure compliance with industry standards, security protocols, and regulatory requirements.

• Assist in disaster recovery planning and implementation.

• Support and mentor junior staff members as needed.

Requirement:

• Minimum 5 years of experience in data center operations, engineering, or related fields.

• Bachelor’s degree/Diploma in Computer Science, Information Technology, Electrical Engineering, or a related field.

• Strong knowledge of data center infrastructure, including power, cooling, and environmental systems.

• Hands-on experience with server hardware, networking equipment, and data center management tools.

• Certifications such as DCCA, CCNA, CompTIA Server+, or equivalent are preferred.

• Excellent troubleshooting, problem-solving, and communication skills.

• Ability to work under pressure and handle emergency situations effectively.

• Knowledge of industry standards and best practices for data center management.

• This is a 24/7 shift-based role located in the North-East region.

• Candidates must be flexible and willing to work on weekends as part of the operational requirements.

Position title : Data & Marketing Officer / Executive

Location: Kallang

Working Day: 5 Days (Mon - Fri) Overtime is required.

Working Hour: 8.15am - 5.30pm

Salary : $3000 - $3500 (Experienced candidate up to $4,400)

Responsibilities: 

• Opportunity: A chance to make measurable impact with your data analysis skills by turning data into actions that increase company performance.
• Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and Keyence software.
• Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.
• Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Requirements:

• Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.
• Knowledge of Power Automate is a plus.
• 3-6 years professional marketing experience (B2B preferred).
• Proven, data-driven marketing, campaign executive, and lead-generation experience.
• Minimum Bachelor’s degree.

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Job Overview

We are seeking a Data Engineer to support and advance the organization’s data-driven and self-service analytics strategy. This role is responsible for designing, building, and maintaining scalable data pipelines and data platforms that transform raw data into trusted, analytics-ready assets.

The position plays a critical role in enabling enterprise reporting, governing Self-Service Intelligence SSI, and high-performance Power BI analytics. The successful candidate will work across hybrid data environments, ensuring data quality, reliability, security, and performance while empowering business users with timely and actionable insights.

Key Responsibilities

• Design, develop, test, and maintain enterprise-grade data pipelines supporting analytics, reporting, and self-service BI use cases
• Build and optimize ETL and ELT workflows using SQL Server Integration Services SSIS, Azure Data Factory, and equivalent data integration tools
• Enhance and refactor existing SSIS packages to improve performance, scalability, and operational stability
• Integrate data from multiple internal and external data sources across on-premises and cloud environments
• Collaborate with business stakeholders, analysts, and data consumers to translate reporting and analytical requirements into production-ready data solutions
• Design and maintain data models, semantic layers, and certified datasets to support Power BI dashboards and self-service analytics consumption
• Implement data quality controls, validation rules, and monitoring mechanisms across data pipelines
• Support governed self-service analytics by delivering reusable, well-documented datasets that reduce dependency on IT teams
• Monitor, troubleshoot, and resolve data ingestion, transformation, and performance issues impacting reporting users
• Implement data warehousing structures, dimensional models, and performance-optimized schemas aligned with business usage patterns
• Maintain clear documentation of data flows, transformation logic, and architectural components

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline
• Minimum 3 years of hands-on experience in data engineering, BI engineering, or a closely related role
• Strong proficiency in SQL with solid experience in query optimization and performance tuning
• Hands-on experience with SQL Server Integration Services SSIS for enterprise ETL development
• Experience working with Microsoft data platforms including SQL Server and Power BI
• Practical experience enabling Self-Service BI or Self-Service Intelligence in enterprise environments
• Exposure to cloud platforms such as Azure, AWS, or GCP, including services like Azure Data Factory, Redshift, or BigQuery
• Good understanding of data warehousing concepts, dimensional modeling, and star schema design
• Knowledge of data governance, security, and compliance practices in enterprise or regulated environments
• Strong analytical mindset with the ability to communicate technical concepts effectively to business stakeholders

Preferred Skills

• Experience modernizing or migrating SSIS workloads to cloud-based orchestration tools
• Familiarity with Python, Scala, or Java for data processing or automation
• Experience supporting Power BI performance optimization and dataset certification

Please send your detailed resume in MS Word format to resume@goldtecHRs.com with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

Job Title: AI Data Associate / Evaluator
Working Location: Alexandra Technopark
Project Period: 2 weeks, from 15 Jun 2026 to 26 Jun 2026

Summary

This role involves evaluating digital assets based on predefined acceptance criteria and quality standards. Responsibilities include reviewing assets, making approval or rejection decisions, identifying quality issues, providing feedback, and ensuring consistent and accurate evaluations in accordance with project requirements.

Job Description

• Evaluate and review assets based on project guidelines and acceptance criteria.
• Approve or reject assets while ensuring quality, accuracy, and compliance.
• Identify discrepancies and provide feedback for improvement.
• Conduct research and validation using reliable online sources when required.
• Maintain accurate records of evaluation results and project activities.
• Ensure timely and consistent completion of assigned tasks.

Job Requirement

• Strong attention to detail and ability to follow guidelines accurately
• Good analytical and problem-solving skills
• Able to work independently and meet deadlines
• Proficient in basic computer applications and internet research
• Proficiency in Korean (reading, writing, and comprehension) is required to review and annotate Chinese-language content, ensuring accuracy and relevance in line with business needs
• Prior experience in data annotation, content review, quality assurance, or AI-related projects is an advantage.

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Responsibilities

Reporting Requirements & Architecture Design

• Own and lead the Datamart reporting workstream for the MX.3 transformation programme, covering all user streams: Front Office (PnL, positions, trading blotters), Back Office (settlements, confirmations, nostro), Market Risk (VaR, stress testing, sensitivities), Credit Risk (PFE, CVA, CCR), and Finance (accruals, mark-to-market, P&L attribution).

• Engage directly with business stakeholders — including traders, risk managers, finance controllers, and operations heads — to gather, analyse, and formalise reporting requirements into detailed Business Requirement Specifications (BRS) and Technical Design Documents (TDDs).

• Understand the Murex system setup at the client: the organisation of support teams, EOD procedures, report delivery processes, and the interdependencies between Datamart and other MX.3 modules (FO, BO, Risk, Finance, Integration).

• Design a generic Datamart data model aligned to the bank's reporting taxonomy, then create the required Datamart objects (dynamic tables, feeders, extractions, scanner templates, processing scripts) to support all reporting use cases.

• Segregate and categorise reports by users, products, creation classes, fields required, complexity, and execution frequency to build a scalable and maintainable reporting catalogue.

• Communicate regularly with business Team Leads and programme stakeholders to ensure all Datamart deliverables are progressing as planned and expectations are actively managed.

Datamart Configuration, Development & Optimisation

• Perform in-depth analysis of the Datamart setup and table structures to identify redundant objects, minimise batch execution time, and maximise reuse of existing Datamart components.

• Develop and configure all Murex Datamart objects: dynamic tables (PL, CS, DT, MV, LRB, PLVAR), feeders, batch of feeders, processing scripts, scanner templates, extractions, reporting tables, and pre/post filter conditions.

• Design and implement Simulation-based Reports and Risk Matrix-based reports for market risk and credit risk reporting consumers within the MX.3 platform.

• Configure and optimise EOD batch execution: implement parallel feeding strategies, resolve batch bottlenecks, tune query performance, and manage processing script sequencing within Control-M or equivalent job schedulers.

• Implement dataset historisation techniques within the Datamart to support time-series reporting, regulatory lookback requirements, and management information (MI) aggregation.

• Develop and maintain stored procedures, extractions, and complex SQL logic (Sybase/Oracle) for data processing, report population, and cross-module data joins leveraging the Murex FIN schema.

• Develop simulation views and scenario analysis reporting objects to support pre-trade and risk management reporting requirements for Front Office and Risk users.

Report Validation, Reconciliation & Quality Assurance

• Execute processing scripts and batch jobs manually or via scheduling tools (Control-M), and reconcile Datamart report extraction output against onscreen MX.3 views and Mreport output to validate data accuracy.

• Analyse and resolve discrepancies arising from filter condition changes, feeder configuration differences, or data model modifications between Datamart report runs.

• Define and execute Datamart-specific test cases for SIT and UAT; ensure all test documentation and deliverables are consistent with programme testing standards and acceptance criteria.

• Assist in effort estimation for Datamart development and UAT scope; maintain accurate delivery tracking and escalate issues or risks to the Programme Manager in a timely manner.

• Participate in structured peer reviews of requirements, technical specifications, and testing documentation; provide constructive feedback and maintain quality standards across the Datamart workstream.

Migration, Integration & Market Data

• Lead the migration of legacy Mreport-based reports to MX.3 Datamart equivalents, including gap analysis, mapping documentation, configuration build, and parallel run reconciliation.

• Manage market data integration and validation within the Datamart, ensuring rate curves, volatility surfaces, FX rates, and credit spread data are correctly sourced and represented in Datamart report calculations.

• Leverage NeoXam Data Hub scripting or equivalent data hub capabilities for data pipeline integration between MX.3 Datamart and downstream BI, regulatory reporting, or finance consolidation platforms.

• Coordinate with the Integration Lead to align Datamart extraction design with the broader enterprise data flow architecture, ensuring consistency of data lineage from trade booking through to report output.

• Configure MDCS (Market Data Curve Server), mxres configuration files, and launcher flags to support Datamart batch execution and reporting server performance requirements.

Team Leadership & General Management

• Lead, manage, and mentor a team of Datamart reporting consultants and developers; delegate work effectively, review team output, and maintain delivery quality across all Datamart stream deliverables.

• Responsible for end-to-end ownership of Datamart reporting deliverables: from requirements intake through design, development, testing, UAT support, and post-deployment production validation.

• Ensure all team members are guided on best practices for Datamart configuration, object reuse strategies, batch optimisation, and coding standards within the MX.3 reporting framework.

• Demonstrate the ability to work proactively and independently where required, displaying strong initiative in identifying reporting gaps, performance issues, or data quality risks before they impact programme delivery.

• Contribute to programme governance forums by providing Datamart workstream status updates, risk and issue logs, and delivery milestone tracking to the Programme Manager and Steering Committee.

Requirements

• Bachelor's degree or higher in Finance, Computer Science, Information Technology, Financial Engineering, or a related discipline.

• Formal Murex training or certification in Datamart and Reporting modules is advantageous. Master's degree in a quantitative or technical field is a plus.

Technical Skills

• Excellent SQL programming skills (Sybase and Oracle); proficiency in PL/SQL for stored procedures, complex joins, and performance-optimised query design across the Murex FIN schema.

• Unix / Linux experience is necessary; Shell scripting (awk, sed, Perl, Bash) is highly desirable for batch automation, data processing, and monitoring script development.

• Python scripting for data processing, reconciliation automation, and Datamart batch management; experience with Python in NeoXam Data Hub or similar environments is advantageous.

• Experience with at least one reporting / BI tool: Actuate eRD Pro (preferred), Crystal Reports, MicroStrategy, or equivalent; Excel VBA for report automation and data validation is a plus.

• Familiarity with scheduling tools: Control-M (preferred), AutoSys, or equivalent for Datamart batch job management, dependency configuration, and execution monitoring.

• Desirable: knowledge of MRA/MRE or MLC module configuration; familiarity with Murex Pricing, Trade Repository, Trade Validation, MDCS, and MxML Exchange workflows.

• Java knowledge (especially Apache Camel, Maven) for integration touchpoints between Datamart and downstream systems is an advantage.

• 10+ years of hands-on experience as a Murex Datamart Developer, Consultant, or Reporting Lead on MX.3 programmes within corporate or investment banking environments.

• Mandatory in-depth expertise in MX.3 Datamart architecture and configuration: Datamart management, dynamic tables (PL, CS, DT, MV, LRB, PLVAR), feeders, batch of feeders, processing scripts, scanner templates, extractions, and reporting tables.

Shortlisted candidates will be offered a 1 Year Agency employment contract.

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.

Product area

Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

Job description

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Additional job description

Our team's mission is protecting billions of Android users from abusive applications, including malware, content abuse, impersonation, and behavioral abuse. Preventing abuse is fascinating technically and it features an adversarial scenario where we try to detect bad actors who try in turn to evade detection. Impact and success translates directly to keeping the Android ecosystem safe and protecting users from a variety of types of abuse.

As a Data Scientist in Product on App and Ecosystem Trust team, you will work with multiple stakeholders across Product, Engineering and Operation teams to define metrics and deliver actionable insights to drive product and engineer key decisions. Analysis will span ecosystem impact, policy compliance, review efficiency and model efficacy. You will be responsible for translating data into meaningful recommendations and, where relevant, implementing process improvements. You will work collaboratively across functions including product management, engineering, operations and program management.

Qualifications

Job responsibilities

• Develop, own and evolve investigative frameworks providing a source of truth measures for the organization.
• Work closely with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPIs) and other success measurements.
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
• Conduct in-depth revealing opportunities and risks, enabling the team to understand trends and prioritize resources.
• Work with large, internal data sets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed.
  

Minimum qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience plus a Master's degree).

Preferred qualifications

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• Experience in addressing relatively well-scoped business problems and developing corresponding investigative solutions, including extracting and manipulating large datasets, and applying statistical methods to arrive at answers.
• Ability to handle multiple assignments simultaneously in a fast-paced environment.
• Ability to present to stakeholders and communicate effectively with highly technical leadership teams.
• Deep interest and aptitude in data, metrics, analysis and trends; applied knowledge of measurement, statistics and program evaluation.

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.

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)

Required Skills & Experience

•10-12+ years of experience in data migration on enterprise HCM or ERP transformation programmes, with demonstrated ownership of the migration workstream — not just execution within it.

•Proven track record of leading client conversations to define migration scope and approach, including facilitating workshops and driving decisions with senior stakeholders.

•At least 3 full-lifecycle Oracle HCM Cloud (Fusion) implementations with accountability for data migration delivery end to end.

•Sufficient Oracle HCM data knowledge to scope objects confidently across Core HR, Payroll, Talent, Compensation, Benefits, and Absence — and to challenge and advise the client with authority.

•Demonstrated ability to manage and direct a delivery team, maintaining quality and pace in a pressured programme environment.

•Strong facilitation and communication skills — comfortable running workshops, chairing governance meetings, and presenting to senior client stakeholders.

•Experience managing migration risks, issues, and dependencies within a complex, multi-workstream programme.

Desirable

•Experience leading migrations from legacy platforms such as SAP HCM, PeopleSoft, Workday, or bespoke HR systems.

•Working/ hand on knowledge of Oracle HCM data loading tools (HDL, FBDI, Spreadsheet Loader) sufficient to guide and review the team's technical outputs

•Oracle HCM Cloud certification in one or more modules.

•Prior experience in a consulting / Big 4 or System Integrator environment.

•Familiarity with data governance and data privacy frameworks in the context of HR data migration.