Total 855 data entry clerk job vacancies in Information Technology category in Singapore

Job Responsibilities

A. Collibra Implementation & Configuration

·      Develop, configure, and deploy data lineage workflows in Collibra (Technical & Business Lineage).

·      Implement Collibra Data Catalog, Business Glossary, and custom domains/models.

·      Configure Collibra Operating Model, communities, domains, roles, and responsibilities.

·      Build and optimise Collibra Workflows using BPMN and Collibra Workflow Designer.

B. Metadata & Lineage Integration

·      Connect Collibra with enterprise systems:

·      ETL/ELT Tools: Informatica, Talend, dbt, Airflow

·      Data Lake / DWH: Snowflake, Databricks, Redshift, Oracle

·      Core Banking Systems: CASA, Trade, Treasury, Payments, Channels

·      Develop automated metadata ingestion pipelines (API, JDBC, custom scripts).

·      Map and trace end-to-end lineage from source → transformation → consumption systems.

C. Data Governance & Regulatory Alignment

·      Work with the Japanese Bank’s DMO on MAS-aligned data governance requirements (MAS 610/649, BCBS 239).

·      Support creation and maintenance of Business Glossary, Data Dictionary, and ownership models:

·      Data Owners

·      Data Stewards

·      Technical Owners

·      Perform metadata quality checks and lineage validation.

D. Stakeholder & Delivery Management

·      Engage with the Japanese Bank’s Data Governance, Compliance, Risk, and Technology teams.

·      Provide technical SME guidance, defect remediation, and enhancement support.

·      Prepare weekly progress reports, risks, and issues, and present to the bank’s DMO / Delivery Lead.

·      Contribute to DATA delivery governance with FSI Delivery Head.

Job Requirements

A. Technical Skills

·      3–7 years hands-on experience with Collibra (Catalog, Data Lineage, Glossary, Workflow).

·      Strong understanding of:

·      Metadata models & governance frameworks

·      Collibra DGC concepts

·      Custom lineage creation

·      Integration via REST API, Edge, Lineage Harvesting tools

·      Experience in mapping lineage for financial data flows (preferred).

·      Proficiency in SQL and metadata extraction from databases & ETL pipelines.

·      Knowledge of Cloud platforms (AWS / Azure / GCP) is a plus.

B. Domain Knowledge

·      Functional understanding of Banking & FSI systems: CASA, Loan, Trade, Treasury, GL, Payments, Channels.

·      Familiarity with MAS regulatory reporting, risk controls, or Data Governance programs.

C. Soft Skills

·      Clear communication with senior stakeholders.

·      Strong documentation and reporting capability.

·      Ability to work independently under strict timelines.

·      Positive, client-focused mindset; protects company’s reputation.

4. Certifications (Good to Have)

·      Collibra Ranger / Collibra Steward / Collibra Workflow Engineer.

·      Data Governance certifications (DAMA, DCAM).

·      Cloud Architect or Data Engineering certification.

5. Responsibilities Reporting to FSI Delivery Head

·      Weekly update on delivery status, risks, and replacement requirements.

·      Maintain high customer satisfaction with Japanese Bank DMO & Technology stakeholders.

·      Ensure SLA compliance, quality of deliverables, and minimal escalations.

·      Act as SME and train backup engineers for continuity.

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

We are seeking an experienced DCS Engineer to support the design review, planning, and delivery of mission‑critical data centre infrastructure.

The role focuses on validating data centre layouts, power, cooling, and cabling designs, reviewing vendor submissions, and coordinating implementation to ensure compliance with standards and regulatory requirements. You will work closely with vendors, contractors, and internal operations teams in high‑availability environments.

Requirements:

• Degree in Engineering (Electrical / Mechanical / Computer or related)
• Minimum 5 years’ experience in data centre design, planning, or infrastructure delivery
• Strong knowledge of rack layouts, cabling, power, and cooling systems
• Experience engaging vendors and managing delivery
• Familiarity with mission‑critical data centre standards
• Certifications such as CDCDP, ATD, CDCE, CDCMP, or PE are an advantage.

We regret to inform you that only shortlisted candidates will be notified.

EA Registration No.: R1658484, Amita Raj

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Description

To achieve excellence in preventative and reactive maintenance programs incorporating industry best practice, innovative maintenance techniques and statutory and contractual compliance. Oversee the management and control of all plant, mechanical and electrical systems and to co-ordinate remedial action with the Engineering Team in the event of Business Critical failures. To provide leadership and direction to multi skilled Engineering Operations teams made up of directly employed staff and appointed vendors. Ensure that all staff and vendors employed within the clients facilities strictly adhere to client and JLL’s policies and procedures. Act as point of escalation for critical failures to assist the technical team to make safe, identify, analyse, rectify and report improvements. Reports to the Data Centre Operations Manager.

Major Responsibilities

• Manager the site operations, including effective hiring, motivation, development, training and discipline of the site operation technicians and maintenance teams.
• Monitor KPI and up-time requirements.
• Support site reviews, including maintenance standards, equipment replacement, security, change control, single points of failure, Tier adherence and operational risk.
• Ensure delivery of planned and reactive activities, utilizing the CMMS platform within financial operating targets.
• To perform additional tasks as required by the Data Centre Operations Manager, and Client Critical Facilities Manager.
• Support advice and consultation to operate the client’s facilities with regard to facilities engineering matters.
• Responsibility for site repair and maintenance carried out by subcontractors to ensure work completion, quality and method of working for compliance with specification and ordinance requirements.
• Monitor, measure and report upon the performance of all specialist contractors in terms of their ability to carry out the work against the agreed contractual budget.
• Lead and Support meetings regularly with contractors, specialist vendors and suppliers to ensure that required standards are established and maintained, and develop corrective action plans when, or if performance falls below expectations.
• Support daily cadence meetings, monthly operation meeting and quarterly business review with UOB
• Ensure that maintenance documentation meets the required standards and sufficient information is provided to operate an effective asset management regiment.
• Assist/support the client with statutory compliance requirements/certifications for the site.
• Ensure asset information is maintained and changes updated within the CMMS.
• Ensure site operations, including incident management and escalation is performed in accordance with approved Client/JLL procedures.

Ideal Experience

• Tertiary qualifications in a mechanical, electrical or operational engineering discipline.
• At least 3 years’ experience in the operation of electrical and mechanical services in Tier III or equivalent data centre or critical facility.
• Resourceful, analytical and problem-solving skill
• Good communication and interpersonal skills and ability to interact with a wide range of client, client stakeholders and vendor staff
• Possess relevant DC certifications
• Understands continuous improvement initiatives, client relationships and preparation of reports.

Role Overview

As our Data Engineer, you will own the lifeblood of our legal AI platform — the data pipeline that keeps our knowledge graph accurate and current. You will build CDC (Change Data Capture) pipelines to synchronize our Neo4j knowledge graph with Singapore’s official legal publications, implement data quality validation frameworks, and ensure version control across statutory amendments. When a new Gazette is published, your pipeline is what makes our AI know about it within days — not months.

Key Responsibilities

• Design and implement CDC pipelines to capture incremental changes from Singapore Gazette, AGC consolidated statutes, and other authoritative legal sources

• Build automated data ingestion workflows: scraping, parsing, structural analysis of legal documents (Act → Part → Division → Section → Subsection)

• Implement temporal metadata extraction: effective dates, repeal dates, amendment lineage, and version tracking for every statutory provision

• Develop data quality validation framework: automated checks for temporal conflicts, missing citations, entity mismatches, and cross-jurisdiction inconsistencies

• Manage Neo4j graph data loading and incremental updates — updating specific nodes without full graph rebuilds

• Build monitoring dashboards for data pipeline health: ingestion latency, error rates, coverage metrics

• Implement data versioning and rollback capabilities for audit compliance

• Collaborate with Backend Engineer on ETL-to-KAG integration and with QA on data accuracy validation

Requirements

• 2+ years experience in data engineering, ETL development, or data pipeline architecture

• Proficiency in Python and/or Go for data processing scripts and pipeline orchestration

• Experience with graph databases (Neo4j preferred) or relational databases (PostgreSQL)

• Hands-on experience with CDC tools or patterns (Debezium, Kafka Connect, or custom CDC)

• Understanding of data quality frameworks and validation methodologies

• Familiarity with AWS data services (S3, Glue, Lambda, or Step Functions)

• Proficiency in English; Mandarin is a strong plus

• Singapore Citizen or Permanent Resident (PR) required

Nice-to-Have

• Experience with web scraping and document parsing (BeautifulSoup, Scrapy, or similar)

• Background in legal data, regulatory data, or structured document processing

• Experience with workflow orchestration tools (Airflow, Dagster, Prefect)

• Knowledge of NLP-based entity extraction or named entity recognition

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.

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

Requirements

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

Others

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

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

Key Highlights:

• Office Hours: Mon – Thurs: 8.30– 6pm | Fri: 8.30 – 5.30pm
• Work Location: Ghim Moh
• Contract Duration: 8 months
• Salary: $2,200-$3,000
• Opportunity to support data transformation initiatives and exposure to change management and data platform implementation projects

Key Responsibilities:
Change Management & Project Coordination

• Review, monitor, and coordinate vendor deliverables for change management initiatives, ensuring alignment with organizational context, tone, and audience
• Track progress of deliverables and ensure timelines are met

Stakeholder Engagement & Communications

• Support planning and coordination of internal communications and engagement activities
• Review and refine messaging to ensure clarity and relevance for stakeholders

Training & Onboarding Support

• Coordinate training sessions and onboarding activities, including scheduling and attendance tracking
• Review and enhance training materials with vendors to ensure alignment with organizational needs
• Identify gaps in training approaches and propose practical improvements

Monitoring & Reporting

• Track change management activities, key milestones, and deliverables
• Identify potential risks and opportunities, and escalate when necessary

Administrative Support

• Provide administrative and logistical support for data platform and project-related activities

Key Requirements:
Functional / Technical Competencies

• Diploma or Degree in Business Administration, Communications, Public Administration, Social Sciences, or related fields
• Candidates from other disciplines with relevant experience are welcome to apply
• Familiarity with change management frameworks

Generic Competencies

• Strong writing, content review, and communication skills
• Proactive with good judgment in identifying gaps and proposing solutions
• Strong coordination and stakeholder management skills
• Able to manage multiple timelines and priorities effectively

Only shortlisted candidates will be notified.

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BGC Group Pte Ltd (Outsourcing)

EA 05C3053

Responsibilities:

• Building and maintaining comprehensive data analytics capabilities for the PathFin.ai Programme to generate actionable insights
• Developing analytics frameworks to track participant engagement, AI adoption trends, and Programme effectiveness metrics
• Creating interactive dashboards for Programme monitoring, stakeholder reporting, and strategic decision-making
• Identifying potential leads and opportunities for Programme expansion based on data analysis
• Generating automated reports on platform usage patterns, event attendance, and knowledge contribution rates
• Providing data-driven recommendations to support Programme growth, participant satisfaction, and operational efficiency

Requirements:

• 5 years of experience in data analytics or similar roles
• Experience with dashboards and reporting
• Build and manage data systems to track Programme performance
• Analyze data to find useful insights (e.g. user activity, trends)
• Create dashboards for reporting and decision-making
• Generate automated reports (usage, events, engagement)
• Identify growth opportunities using data

Skills needed:

• Data analysis (SQL, Excel, Python or similar)
• Dash board tools (Power BI, Tableau, etc.)

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
As an experienced technology professional, you will be responsible for:

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
• Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable Data Analytics and ML solutions on AWS to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
• Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data Analytics and machine learning
• Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

Basic qualifications

• 7+ years of technical specialist, design and architecture experience
• 7+ years of external or internal customer facing, complex and large scale project management experience
• 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
• 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

Preferred qualifications

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
• Experience with automation and scripting (e.g., Terraform, Python)
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI.
• Ability to obtain Singapore government security clearance.

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.

Job Description

• Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements.

• Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes.

• Translate business data requirements into technical specifications and scalable solutions.

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.

• Design and implement secure, cloud-based data infrastructure and access mechanisms.

• Monitor and optimize ETL systems and databases for performance, reliability, and scalability.

• Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio.

• Collaborate with data stewards to enforce data governance, quality, and security policies.

• Guide agencies through greenfield and brownfield implementations, from problem definition to solution design.

• Develop standardized approaches for assessments, discovery, and solutioning grounded in best practices.

• Champion engineering excellence and influence adoption of modern data and infrastructure practices.

Requirements

1. Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

2. 5–10 years of experience in data engineering, cloud infrastructure, or platform engineering, with strong foundation in data system design, data structures, algorithms, and data architecture modelling.

3. Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop), along with proficiency in Python and SQL.

4. Experience with orchestration and DevOps tools (Airflow, Azure Data Factory, Docker, Git, Terraform), CI/CD pipelines, and infrastructure-as-code practices; familiarity with Databricks, Snowflake, or Denodo and building batch/real-time data pipelines.

5. Strong understanding of data governance, security, and privacy (especially in public sector environments would be an added advantage), with excellent communication, stakeholder management, and mentoring capabilities.

This is a 1-year Contract position under People Advantage(Certis Group). We appreciate your application and regret only shortlisted candidates will be notified.

By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy (www.certisgroup.com/privacy-policy).

EA Personnel Name: Siti Khatijah

EA Personnel No: R22111204

EA License No: 11C3955

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional job description

Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property. 

In this role, you will work on an engineering team that builds software systems that implement an array of security controls to prevent accidental or malicious data exfiltration. This will include threats that originate from human or autonomous AI agentic actions. You will lead large parts of the systems involved, independently designing and guiding other engineers on implementation. You will be a critical part of creating a culture of engineering excellence in the team. You will work with cross-functional stakeholders across geo locales.

Qualifications

Job responsibilities

• Implement holistic, next generation security controls that are context aware across all Google systems storing intellectual property.
• Work with Security Engineers, Product Managers, Technical Program Managers, and partner teams to implement preventive data exfiltration controls.
• Lead other engineers on designing and building controls for systems, including workspace, chrome, bug manager, corporate endpoints, and access management.
• Lead the engineering effort to design and implement automatic AI-based classification systems, ensuring controls are effective against threats from agentic AI.
• Help onboard other engineers and foster a culture of engineering excellence across the team.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with full stack development, across back-end such as Java, Python, Golang, C++ or equivalent codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• Experience with designing and operating large-scale distributed systems.
  

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in AI-driven large-scale data reasoning and inference processes.
• Experience in AI, specifically in agentic software engineering.
• Proven track record of supervising teams of 4-5 engineers, providing direct coaching and professional mentorship.
• Familiarity with cybersecurity solutions and related product landscapes.
• Ability to integrate rapidly into new team environments while facilitating the onboarding of fellow engineers.

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 )

We are seeking a detail-oriented and analytical individual to support digital content operations and performance tracking. This role focuses on ensuring content accuracy, managing workflows, and generating insights to improve overall digital performance.

Key Responsibilities:

Content Management & Operations:

• Manage daily website content updates, uploads, and maintenance, including listings, metadata, and digital records
• Process content update requests from internal teams and external stakeholders efficiently
• Coordinate content approval workflows in line with established standards and compliance requirements
• Perform thorough quality assurance checks before content goes live
• Monitor published content to ensure accuracy, consistency, and relevance

Analytics & Reporting:

• Extract and compile performance data for regular reporting
• Support trend analysis to identify insights from datasets
• Assist in preparing reports on campaign performance and user engagement
• Collaborate with cross-functional teams to support funnel and performance analysis

Requirements:

• Basic data analytics skills with ability to interpret data and identify trends
• Proficiency in Excel or Google Sheets, including handling CSV files
• Strong written and verbal communication skills
• High attention to detail with a strong focus on data accuracy
• Ability to adapt quickly and learn new tools and systems
• Strong problem-solving skills to resolve content and data issues
• Experience with web analytics tools and performance tracking
• Knowledge of data extraction and automated reporting processes
• Understanding of digital marketing funnels and conversion metrics
• Familiarity with content management systems and website maintenance