482 Data Security jobs in Singapore

We are seeking a highly skilled Data Security Specialist to join our team. As a Data Security Specialist, you will be responsible for reviewing daily DLP alerts and updating their status with reasoning in the investigation tools by end of every day.

The ideal candidate will have experience between 2 to 5 years in business analysis in IT security or cybersecurity, as well as 1 or 2 years of experience in Data Loss Prevention (DLP).

You will also possess advanced proficiency in core Microsoft Office suite (Excel, PowerPoint, Word) and PowerBI, and be able to obtain, analyze and present incident data for management reporting.

• Review daily DLP alerts and update their status with reasoning in the investigation tools.
• Complete end-to-end data breach investigations.

• Experience in business analysis in IT security or cybersecurity.
• Data Loss Prevention (DLP) experience.
• Advanced proficiency in core Microsoft Office suite (Excel, PowerPoint, Word) and PowerBI.
• Ability to obtain, analyze and present incident data for management reporting.

• Knowledge in Symantec, Proxy logging, Shared mailbox administration.

We are seeking a Data Security Architect to support enterprise-wide initiatives focused on safeguarding sensitive information. This role centres on the implementation and optimization of data discovery and classification capabilities across diverse environments, with emphasis on scalable governance and compliance practices. The successful candidate will work closely with cross-functional teams to enhance visibility into data assets, support regulatory alignment, and contribute to the broader information protection strategy.

Key Responsibilities:

• Lead and support initiatives focused on identifying and managing sensitive data across diverse environments.
• Configure and maintain data governance tools to ensure effective integration with enterprise systems and platforms.
• Develop and refine policies and rules for data classification and protection in alignment with regulatory and organizational standards.
• Collaborate with internal stakeholders to assess data sensitivity and implement appropriate safeguards.
• Contribute to the automation of data labelling and policy enforcement across various technologies.
• Monitor and optimize data discovery processes, ensuring operational efficiency and accuracy.
• Provide insights and reporting to inform risk management and compliance efforts.
• Stay informed on evolving technologies and recommend enhancements to improve data security posture

Qualifications:

• Demonstrated experience with enterprise-grade data discovery and classification platforms.
• Hands-on experience with BigID or similar tools (e.g., MIP, Varonis, Informatica) is highly desirable.
• Solid understanding of data protection principles, governance frameworks, and regulatory compliance requirements across global jurisdiction
• Familiarity with both structured and unstructured data environments, including databases, collaboration tools, and cloud-based repositories.
• Ability to configure and optimize data classification workflows and policies within complex technical ecosystems.
• Exposure to integrating data governance tools with broader security and compliance technologies.
• Working knowledge of metadata, data lineage, and content inspection methodologies.
• Comfort with scripting or automation tools to support operational efficiency.
• Strong analytical thinking and communication skills, with the ability to engage diverse stakeholders.

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

EA Registration No: R , Lim Jing Kai, Russell

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

Overview
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Responsibilities
Support the governance and risk analysis of cross-border data flows, contributing to compliance with GDPR, CCPA, PDPA, and other global privacy regulations. Help ensure sensitive data is appropriately identified, classified, and governed across geographies.
Contribute to cloud data protection initiatives by analyzing data risk signals across infrastructure (e.g., cloud buckets, storage, systems), and assist in improving data classification precision, recall, and coverage across SHEIN's cloud environments.
Assist in third-party data risk governance, including mapping data flows, identifying high-risk sharing scenarios, and supporting continuous efforts to reduce exposure from external partners.
Build and maintain analytics tools and dashboards to support data discovery, labelling accuracy, and risk governance, enabling scalable and automated data risk reviews.
Participate in continuous improvement efforts around AI data model tuning to improve the accuracy and evaluating coverage gaps, and recommending improvements.
Work with internal stakeholders (Privacy, GRC, Engineering) to drive data risk governance with actionable analytics.
Skills and Qualifications
Proficient in Python and common data analysis libraries (e.g., Pandas, NumPy, Matplotlib).
Familiar with SQL, and preferably some experience with distributed data platforms (e.g., Hive, Spark, BigQuery).
Strong data analysis and problem-solving skills, especially in handling large datasets or data quality evaluation.
Clear communicator with strong collaboration skills; able to work across technical and non-technical teams.
Passion for learning data security, AI/ML, and privacy technologies in a real-world enterprise environment.
Bonus: Experience or coursework in AI/ML, classification models, or data privacy concepts (e.g., GDPR, CCPA) is a plus but not required.
Language: Proficient in English; fluent Chinese (Mandarin) is preferred to support cross-regional collaboration
Seniorit y level
Associate
Employment type
Full-time
Job function
Industries: IT Services and IT Consulting
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Join to apply for the
Data Security Engineer
role at
Microsoft
A passion for cybersecurity and experience working on high-performing teams are essential for this role. The Microsoft Security organization’s mission is to make the world a safer place, and as threats become more frequent and sophisticated, the team works to keep customers safe through Security Solutions.
As a Compliance Technical Specialist, you will work with sales, technical, partner, and consulting resources to educate customers about Microsoft data security solutions. Your goal will be to win the technical decision of customers to purchase these solutions, leveraging your expertise in data security architectures, solutions, and technologies.
Responsibilities
You will be the primary technical point of contact for potential customers during the sales process, driving technical wins for security opportunities and engaging with teams within and outside the organization.
You will leverage your deep technical understanding of Data Security architectures, solutions, and technologies, including Microsoft Information Protection and Defender for Cloud Apps.
You will coordinate with sellers and managers to understand opportunities and compete scenarios, and engage partners in sell-with scenarios to scale solution delivery.
You will develop strategies to improve clients' data security posture, shape technical win plans, and drive customer intent to consume Microsoft Security solutions.
You will lead technical presentations, demonstrations, and workshops to help solve customer security challenges and priorities.
Qualifications
6+ years of technical pre-sales, technical consulting, or technology delivery experience.
4+ years of experience with cloud and hybrid infrastructures, architecture designs, migrations, and industry standards.
Certification in relevant technologies or disciplines, such as Office 365, Azure Architect, and Cloud Platform Technologies.
5+ years of technical pre-sales, technical consulting, or related experience, with expertise in cloud computing, infrastructure, and security standards and frameworks.
Microsoft is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex, sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances.
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Overview
We are seeking a Data Security Architect to support enterprise-wide initiatives focused on safeguarding sensitive information. This role centres on the implementation and optimization of data discovery and classification capabilities across diverse environments, with emphasis on scalable governance and compliance practices. The successful candidate will work closely with cross-functional teams to enhance visibility into data assets, support regulatory alignment, and contribute to the broader information protection strategy.
Responsibilities
Lead and support initiatives focused on identifying and managing sensitive data across diverse environments.
Configure and maintain data governance tools to ensure effective integration with enterprise systems and platforms.
Develop and refine policies and rules for data classification and protection in alignment with regulatory and organizational standards.
Collaborate with internal stakeholders to assess data sensitivity and implement appropriate safeguards.
Contribute to the automation of data labelling and policy enforcement across various technologies.
Monitor and optimize data discovery processes, ensuring operational efficiency and accuracy.
Provide insights and reporting to inform risk management and compliance efforts.
Stay informed on evolving technologies and recommend enhancements to improve data security posture.
Qualifications
Demonstrated experience with enterprise-grade data discovery and classification platforms.
Hands-on experience with BigID or similar tools (e.g., MIP, Varonis, Informatica) is highly desirable.
Solid understanding of data protection principles, governance frameworks, and regulatory compliance requirements across global jurisdictions.
Familiarity with both structured and unstructured data environments, including databases, collaboration tools, and cloud-based repositories.
Ability to configure and optimize data classification workflows and policies within complex technical ecosystems.
Exposure to integrating data governance tools with broader security and compliance technologies.
Working knowledge of metadata, data lineage, and content inspection methodologies.
Comfort with scripting or automation tools to support operational efficiency.
Strong analytical thinking and communication skills, with the ability to engage diverse stakeholders.
We regret to inform that only shortlisted candidates will be notified.
EA Registration No: R , Lim Jing Kai, Russell
Allegis Group Singapore Pte Ltd, Company Reg No. N, EA License No. 10C4544
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Overview
Join to apply for the
Data Security Architect
role at
TEKsystems .
We are seeking a Data Security Architect to support enterprise-wide initiatives focused on safeguarding sensitive information. This role centers on the implementation and optimization of data discovery and classification capabilities across diverse environments, with emphasis on scalable governance and compliance practices. The successful candidate will work closely with cross-functional teams to enhance visibility into data assets, support regulatory alignment, and contribute to the broader information protection strategy.
EA Registration No: R , Lim Jing Kai, Russell. Allegis Group Singapore Pte Ltd, Company Reg No. N, EA License No. 10C4544.
Key Responsibilities
Lead and support initiatives focused on identifying and managing sensitive data across diverse environments.
Configure and maintain data governance tools to ensure effective integration with enterprise systems and platforms.
Develop and refine policies and rules for data classification and protection in alignment with regulatory and organizational standards.
Collaborate with internal stakeholders to assess data sensitivity and implement appropriate safeguards.
Contribute to the automation of data labelling and policy enforcement across various technologies.
Monitor and optimize data discovery processes, ensuring operational efficiency and accuracy.
Provide insights and reporting to inform risk management and compliance efforts.
Stay informed on evolving technologies and recommend enhancements to improve data security posture.
Qualifications
Demonstrated experience with enterprise-grade data discovery and classification platforms.
Hands-on experience with BigID or similar tools (e.g., MIP, Varonis, Informatica) is highly desirable.
Solid understanding of data protection principles, governance frameworks, and regulatory compliance requirements across global jurisdictions.
Familiarity with both structured and unstructured data environments, including databases, collaboration tools, and cloud-based repositories.
Ability to configure and optimize data classification workflows and policies within complex technical ecosystems.
Exposure to integrating data governance tools with broader security and compliance technologies.
Working knowledge of metadata, data lineage, and content inspection methodologies.
Comfort with scripting or automation tools to support operational efficiency.
Strong analytical thinking and communication skills, with the ability to engage diverse stakeholders.
Seniorities
Not Applicable
Employment type
Contract
Job function
Information Technology
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Company

Univers. Pte. Ltd.

Designation

Data & Security Compliance Intern

Date Listed

19 Aug 2025

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

From Jan 2026, For At Least 6 Months

Profession

IT / Information Technology

Industry

Computer and IT

Location Name

HarbourFront Avenue, Keppel Bay Tower, Singapore

Address

1 HarbourFront Ave, Singapore

Map

Allowance / Remuneration

$1,800 monthly

Company Profile

About Univers

Univers provides the world's most comprehensive decarbonization system.

We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in-the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement.

With 220 million sensors and smart devices connected, 550GW of renewable energy under management, and a community of over 500 customers, we're helping the world's leading businesses get the world to net zero—and what comes after it.

For more information, please visit

Job Description

About the role

We are looking for a motivated and detail-oriented Data & Security Compliance Intern to support the implementation of the OneTrust Governance platform, and Third-Party and Internal Audits over the course of 6 months. You will gain hands-on experience in privacy and compliance operations, OneTrust system configuration and on-site standards and certification audits. A key part of your role will involve assisting with document migration and building and testing workflows within OneTrust to help automate core governance processes and coordinate the collection of audit evidence during external and internal audits.

Key Responsibilities

Assist in the migration of privacy and compliance documents (e.g., data inventories, vendor assessments, policies) from spreadsheets and legacy tools into OneTrust.

Help with building, configuring, and testing workflows in OneTrust to support operational privacy processes (e.g., DPIAs, RoPAs, third-party risk assessments).

Collaborate with teams to review and validate data entered into OneTrust.

Participate in user acceptance testing (UAT) and collect feedback on workflow functionality and usability.

Support the coordination of third-party audits, including:

Liaising with internal stakeholders (e.g., Legal, IT, HR) to collect and organize evidence required for compliance audits or assessments.

Tracking evidence submission status and maintaining organized documentation.

Document implementation progress, configuration notes, and lessons learned for future reference.

Attend project meetings and contribute status updates and insights.

Learning Outcomes

By the end of the internship, you will have:

• Hands-on experience with OneTrust platform setup, configuration, and workflow testing.
• Exposure to audit readiness activities, including evidence management and stakeholder coordination.
• Understanding of how organizations manage data privacy and compliance through digital tools.
• Developed practical skills in documentation, communication, and process coordination.

Prerequisite Skills & Qualifications

Education:

Currently pursuing a Bachelor's or Master's degree in Information Technology, Computer Science, Law, Data Science, Cybersecurity, or related field.

Core Skills:

Comfortable using digital tools and platforms (e.g., Microsoft Office, M365, SaaS applications).

Quick to learn and adapt to new software applications or systems.

Detail-oriented and organized in working with documents, forms, and structured data.

Basic understanding of concepts like data privacy, risk, or compliance is helpful but not required.

Strong written and verbal communication skills.

Ability to work independently and manage tasks proactively.

Nice-to-Have (Not Required):

• Exposure to OneTrust or other GRC/privacy platforms.
• Experience working with automation tools, or low-code/no-code systems.

Application Instructions

Please apply for this position by submitting your text CV using InternSG.

Kindly note that only shortlisted candidates will be notified.

Open to Full-time Internship Only, with at least 6 months commitment

Please also indicate your period of availability

• Your exact period of availability? (Exact Start and End Date)
• Is this internship credit bearing and counting towards graduation requirements?
• Are you a full-time student?
• Do you require a work pass or visa?

We seek a seasoned executive to spearhead the delivery of critical data and security services. This pivotal role involves overseeing the seamless operation, continuous improvement, and strategic evolution of services across diverse technology landscapes.

• Develop comprehensive strategies aligned with client objectives and company growth targets.
• Serve as primary escalation point for critical service delivery issues, ensuring rapid resolution and effective communication with stakeholders.
• Nurture strong relationships with key clients, understanding their evolving needs and identifying opportunities for service expansion and enhancement.

The ideal candidate possesses expertise in IT service management best practices, exceptional leadership skills, and a proven track record of managing complex client relationships and technical teams.

• Negotiate and manage service level agreements (SLAs) and operational level agreements (OLAs).
• Conduct regular service reviews, present performance reports, and drive continuous improvement initiatives based on client feedback and operational data.

• Provide expert guidance for the operation and optimization of diverse data and security platforms.
• Lead the secure and efficient operation of data technologies, ensuring stringent data segregation and one-way data transfer capabilities.
• Oversee the deployment, management, and utilization of SIEM platforms and data visualization tools.

• Implement quality assurance processes to ensure reliability, performance, and security of delivered services.
• Develop robust operational procedures and policies to ensure consistent service delivery and compliance with relevant regulations and security standards.

• Foster a culture of accountability, collaboration, and customer-centricity within the team.
• Conduct performance reviews, provide regular feedback, and identify professional development opportunities.

We seek an accomplished leader to drive data and security services delivery for clients. This pivotal role oversees seamless operation, continuous improvement, and strategic evolution of services across diverse technology landscapes.

The ideal candidate possesses deep understanding of IT service management best practices, exceptional leadership skills, and proven track record of managing complex client relationships and technical teams in fast-paced environments.

Key responsibilities include developing comprehensive service delivery strategies aligned with client business objectives, building strong long-term relationships with key clients, conducting regular service reviews, and driving continuous improvement initiatives based on client feedback and operational data.

• Lead the secure and efficient operation of data technologies, ensuring stringent data segregation and one-way data transfer capabilities.
• Oversee effective deployment, management, and utilization of SIEM platforms and data visualization tools for security monitoring, threat detection, and operational insights.

Stay abreast of emerging technologies, industry trends, and best practices in data security, infrastructure, and cloud computing to drive innovation and maintain competitive edge.

Service Delivery: Develop and execute comprehensive service delivery strategies aligned with client business objectives.

Relationship Building: Build and nurture strong long-term relationships with key clients.

Service Reviews: Conduct regular service reviews to ensure optimal service delivery.

Continuous Improvement: Drive continuous improvement initiatives based on client feedback and operational data.

Leadership Skills: Possess exceptional leadership skills with a proven track record of managing complex client relationships and technical teams.

Technical Knowledge: Have a deep understanding of IT service management best practices and data security, infrastructure, and cloud computing.