311 Data Governance jobs in Malaysia

Requirements

Job Purpose

• An experienced Data Governance Manager to lead our data governance initiatives. The successful candidate will manage a team and will be responsible for defining and executing data privacy, data quality, and data governance frameworks and policies. This role is crucial in ensuring that our data assets are managed effectively and used responsibly.

Job Responsibilities

• Develop and implement data governance frameworks, policies, and procedures.
• Ensure compliance with data privacy regulations and standards.
• Oversee data quality initiatives to ensure data accuracy, consistency, and reliability.
• Lead and manage a team of data governance professionals.
• Collaborate with cross-functional teams to promote data governance best practices.
• Monitor and report on data governance metrics and KPIs.
• Provide training and support to staff on data governance and data management practices.
• Identify and mitigate data-related risks.

Education/ Professional Qualification & Professional Qualification

• Bachelor's degree in Information Management, Computer Science, or a related field. A Master's degree is preferred.
• Proven experience in data governance, data quality, and data privacy.
• Strong understanding of data governance frameworks and best practices.
• Excellent leadership and team management skills.
• Strong analytical and problem-solving abilities.
• Excellent communication and interpersonal skills.
• Experience with data governance tools and technologies.
• Minimum of 4 years relevant Data Governance and People Manager Experience required:
• Certification in data governance or data management (e.g., CDMP, DGSP).
• Knowledge of relevant data privacy laws and regulations (e.g., PDPA)

Role Overview

In this role, the candidate will be responsible for leading the design, implementation, and governance of data assets. You will ensure data is structured, accessible, and trusted to support operational excellence and strategic decision-making. This role requires a blend of technical expertise, business acumen, and stakeholder engagement to deliver high-value data products in a fast-paced, cloud-first environment.

Key Responsibilities

• Lead the end-to-end data lifecycle management, from acquisition and modelling to cataloguing and governance.
• Design and maintain complex data models that support operations and analytics.
• Manage metadata and data catalogue tools to ensure discoverability and lineage tracking.
• Deliver scalable and secure data products on cloud platforms such as AWS or Azure.
• Apply foundational data transformation techniques using SQL and Python to prepare data for consumption.
• Collaborate with cross-functional teams to define data requirements and ensure alignment with business goals.
• Champion data quality, integrity, and compliance across systems and processes.

Required Qualifications

• Proven experience in data management and governance across all stages of the data lifecycle.
• Deep understanding and hands-on experience with complex data modelling techniques.
• Proficiency in metadata management and data cataloguing tools.
• Demonstrated delivery of data products within cloud ecosystems (AWS or Azure).
• Strong SQL and Python skills for data manipulation and transformation.
• Excellent communication and stakeholder management capabilities.
• Customer-centric mindset with a pragmatic approach to value delivery and execution.
• Strong attention to detail and a commitment to data excellence.
• Solid business acumen and ability to align data initiatives with strategic objectives.

Job Summary

Participate and support all aspects of Data Governance initiative or related daily operational tasks are assigned, within agreed and committed service level agreements.

Job Responsibilities

• You will support our data governance team in implementing and maintaining data quality standards, policies, and procedures.
• You will also assist in data cataloguing, data lineage, data stewardship, and data issue resolution.
• You will work closely with data owners, data engineers, data analysts, and data scientists to ensure that our data assets are accurate, consistent, and reliable.
• You will participate in Master Data Maintenance tools change management process as business analyst, and internal QA to perform internal testing. This includes to develop or maintain the UAT test plan, training materials and user guides.
• You will participate in Master Data Quality checking of new Merget & Acquisition data set collected, perform checking and ensure the data quality is at acceptable level.

Functional skills and knowledge

• A current student or recent graduate in data science, data management, information systems, computer science, or a related field.
• A strong interest and passion for data quality and data governance.
• A basic understanding of data concepts, such as data models, data types, data sources, data flows, etc.
• A good analytical and problem-solving skills, with attention to detail and accuracy
• A good communication and interpersonal skills, with the ability to work in a team and independently
• A willingness to learn new skills and technologies, and to take on new challenges.
• Understand and able to operate Microsoft Office tools such as Word, Excel and Power Point.
• Able to work under pressure and to tight timelines.
• Must be organized, accurate and able to work in a fast-paced environment.
• Time management and good understanding and ability to priorities multiple conflicting activities
• Adapts a flexible work schedule as per the demands.
• Good technical skill of Phyton will be an advantage.

Location:
Kuala Lumpur, MY, MY

Global Business Unit: OTH

Job Function: Information Technology

Requisition Number:

Description:

Job Summary

Participate and support all aspects of Data Governance initiative or related daily operational tasks are assigned, within agreed and committed service level agreements.

Job Responsibilities

• You will support our data governance team in implementing and maintaining data quality standards, policies, and procedures.
• You will also assist in data cataloguing, data lineage, data stewardship, and data issue resolution.
• You will work closely with data owners, data engineers, data analysts, and data scientists to ensure that our data assets are accurate, consistent, and reliable.
• You will participate in Master Data Maintenance tools change management process as business analyst, and internal QA to perform internal testing. This includes to develop or maintain the UAT test plan, training materials and user guides.
• You will participate in Master Data Quality checking of new Merget & Acquisition data set collected, perform checking and ensure the data quality is at acceptable level.

Functional skills and knowledge

• A current student or recent graduate in data science, data management, information systems, computer science, or a related field.
• A strong interest and passion for data quality and data governance.
• A basic understanding of data concepts, such as data models, data types, data sources, data flows, etc.
• A good analytical and problem-solving skills, with attention to detail and accuracy
• A good communication and interpersonal skills, with the ability to work in a team and independently
• A willingness to learn new skills and technologies, and to take on new challenges.
• Understand and able to operate Microsoft Office tools such as Word, Excel and Power Point.
• Able to work under pressure and to tight timelines.
• Must be organized, accurate and able to work in a fast-paced environment.
• Time management and good understanding and ability to priorities multiple conflicting activities
• Adapts a flexible work schedule as per the demands.
• Good technical skill of Phyton will be an advantage.

Requisition Number:

Job Function: Information Technology

We are looking for an
Associate, Data Governance and Data Quality
to join our Central Data Office (CDO) in Khazanah Nasional Berhad ("Khazanah").

Who We Are

The Central Data Office (CDO) at Khazanah plays a key role in enabling trusted data, reporting, and analytics across the organisation. We set the standards for data governance, making sure data are managed consistently to provide a solid foundation for reliable analysis and confident decision-making. By joining this team, you will contribute to building the data and analytical capabilities that support strategic decision making in Khazanah.

Your Role

You will support the implementation of data governance practices across Khazanah. Your work will focus on ensuring that data is accurate, reliable, and usable in reporting, analytics, and technology projects. You will work closely with key stakeholders across investments, finance and technology to align these governance efforts with Khazanah's objectives.

1. Apply data governance policies and processes, monitor compliance, and provide recommendations to strengthen alignment with the Khazanah's data programme and long-term vision for data, AI, and technology.
2. Collaborate with business and technical stakeholders to ensure the accuracy, timeliness, and reliability of data used in investment reporting, analytics, and AI-driven workflows.
3. Develop, update, and maintain key governance artefacts, including policy registers, metadata catalogues, lineage documentation, validation rules, and issues logs.
4. Identify and track data quality issues, conduct root-cause analysis where possible, and coordinate with relevant teams to ensure remediation actions are completed.
5. Actively contribute to data-related projects by identifying governance requirements, documenting risks, validating controls, and escalating concerns when gaps arise.
6. Produce governance reports and metrics that highlight issues, progress, and trends, and recommend actions for improvement.
7. Provide guidance to colleagues on governance processes and tools, resolve common queries, and escalate complex challenges to senior team members.
8. Design and prepare onboarding materials, awareness guides, and refresher content to help teams embed governance principles into their daily work.
9. Maintain working knowledge of organisational data flows, architecture, and integration points. Document and communicate the impact of changes to data systems or flows on governance requirements.
10. Stay informed of data and AI governance trends, tools, and practices, and assess their potential relevance for the organisation.
11. Any other duties as assigned by your supervisor, in support of the CDO's objectives.

Requirements

• A Bachelor's degree in statistics, data science, computer science, financial engineering, mathematics, or a related discipline.
• Minimum two years of experience in data governance, data management, analytics, or related fields.
• Working knowledge of data lineage, data quality controls, and metadata management.
• Exposure to governance tools (e.g. Collibra, Informatica, Alation), cloud data platforms (Azure, Fabric, AWS), and BI tools (Power BI, Tableau, Qlik).
• Basic understanding of finance and accounting; prior experience with investment data or financial services is an advantage.
• Strong analytical skills, with attention to detail and the ability to interpret and present findings clearly.
• Effective communication skills to work with both technical and business stakeholders.
• Proactive and self-motivated, with the ability to take ownership of tasks and deliver results.

We encourage and value applications from all backgrounds, identities, and experiences whereby all qualified candidates will be assessed in a fair and equitable manner. Our employment decisions are based on merit, business needs, and job requirements.

Add expected salary to your profile for insights

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

As a Senior Associate - Data Governance, you will play a critical role in ensuring consistent, secure, and high-quality data management across the organisation. You will achieve this by orchestrating policies, processes, and fostering collaboration among stakeholders, even without direct control over all resources.

Reporting directly to the Chief Data Officer, you will work closely with cross-functional teams to promote adherence to internal policies and local statutory requirements, while facilitating responsible data usage across business lines.

Key responsibilities

• Demonstrate up-to-date knowledge of data governance theory, standard methodology and practical considerations (ability to focus on “minimum viable governance”).

• Work cross-functionally to develop, implement, and continuously improve firm-wide data management processes, for example collaborate with:

a) Legal and risk management: Ensure compliance with local data privacy laws (e.g., PDPA), regulatory requirements, and ethical AI principles.

b) IT security: Align data governance with security policies and controls to ensure data confidentiality, integrity, and availability.

c) Business units: Facilitate collaboration between business stakeholders and data stewards to embed governance into business processes.

d) Academy: Champion data literacy and governance awareness.

Digital: Ensure governance is built into data platforms and integration architecture.

• Periodic engagement with global SMEs to align Network Data Policy (NDP) requirements, ensuring relevant information is cascaded to Data Committee members for information or further action.

• Connect with other territories and global SMEs to understand data governance best practices for adoption locally.

• Support Chief Data Officer on key initiatives, issues tracking and improvement plans including preparing relevant presentation materials.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.

• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

• Use critical thinking to break down complex concepts.

• Understand the broader objectives of your project or role and how your work fits into the overall strategy.

• Develop a deeper understanding of the business context and how it is changing.

• Use reflection to develop self awareness, enhance strengths and address development areas.

• Interpret data to inform insights and recommendations.

• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Qualifications & experience

• Bachelor’s degree in Information Management, Data Science, IT, or a related field.

• 5 - 6 years’ experience in data governance, data management or related areas.

• Experience in professional services or regulated industries is an advantage.

• Certification in data governance (e.g., CDMP, DCAM) or data privacy (e.g., CIPP/A) is preferred.

Key skills & competencies

Core skills

• Strong understanding of data governance frameworks (e.g. DAMA-DMBOK, DCAM).

• Proficiency in data management principles, including data quality, metadata, stewardship, and classification.

• Familiarity with regulatory and compliance frameworks (e.g. PDPA, GDPR etc).

• Knowledge of data privacy, ethical AI, and information security controls.

Other skills

• Experience working with cross-functional teams including risk, legal, digital, IT security and business units.

• Ability to influence without authority and navigate complex stakeholder environments.

• Understanding of data governance tools (e.g. Microsoft Purview), data lineage, data anonymization, data transformation tools preferred.

• Strong analytical and critical thinking abilities.

• Excellent written and verbal communication.

• Self-starter with high attention to detail and commitment to compliance and data ethics.

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Salary match Number of applicants Skills match

At PwC, our purpose is to build trust in society and solve important problems. It is this focus which forms the services we provide and the decisions we make.

At PwC, our purpose is to build trust in society and solve important problems. It is this focus which forms the services we provide and the decisions we make.

Be careful This job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information. Learn how to protect yourself Report this job ad Your email address Reason for reporting job Additional comments To help fast track investigation, please include here any other relevant details that prompted you to report this job ad as fraudulent / misleading / discriminatory.

Summary

The Principal Data Governance Specialist is responsible for defining, implementing, and maintaining governance and operational excellence across the organization's Data Loss Prevention (DLP) landscape. This role will provide oversight, policy enforcement, and operational leadership for email, web, cloud, endpoint, and network DLP platforms ensuring governance, data protection, and risk reduction across all business units. The role requires strong technical knowledge of DLP platforms, with the ability to balance governance requirements and user experience considerations.

Job Responsibilities

Strategy:

• Develop and maintain the organization's enterprise-wide DLP strategy, policies, and standards, including classification, data loss protection and awareness.
• Provide thought and execution leadership in the formulation and execution of comprehensive strategies for data protection and security awareness.

Execution and Operations

• Establish and enforce data governance policies, including data retention and classification standards, to ensure governance, data integrity, and secure information management.
• Utilise technology platforms (eg. DLP and M365) to manage DLP controls across email, web, and cloud channels and systems, with an emphasis on the right balance of automation and process.
• Provide oversight for daily operational activities related to DLP, including incident triage, discovery, scanning, and escalations.
• Constantly evolve and adapt data governance implementation to balance governance and employee experience, and based on evolving threats and organizational needs.
• Lead and support ongoing DLP-related projects, collaborating with the DLP Infrastructure team and vendors for successful project outcomes.

Team Leadership:

• Lead, mentor, and guide the DLP and IT Security Awareness teams towards achieving departmental and organizational objectives.
• Foster a culture of innovation, collaboration, and continuous improvement.
• Oversee the development of reports and metrics related to DLP and IT Security Awareness.

Cross-Functional Collaboration:

• Collaborate with other department heads and stakeholders to integrate data protection and security awareness initiatives into the broader organizational framework.
• Coordinate with SOC, IT Security, and Infrastructure teams to ensure cohesive threat detection, mitigation, and policy tuning.

IT Security Awareness

• Lead the development, maintenance, and implementation of the IT Security Awareness program.
• Oversee the education of staff on the importance of information security and the application of due diligence.
• Lead and participate in social engineering activities, including phishing exercises for staff.
• Provide strategic guidance on remediation efforts and continuous improvement based on testing results.

Qualifications & Skills

Education & Experience

• Bachelor's degree in Information Security, Computer Science, or related field (Master's or relevant certifications preferred).

• 10+ years of IT security, data governance or protection experience, including at least 3 years in a leadership or governance capacity.

• Hands-on experience with DLP solutions
(e.g. Proofpoint, Symantec, Netskope, Zscaler).

• Familiarity with global data protection regulations and security frameworks.

Leadership & Technical Skills

• Strong governance, risk management, and audit handling experience.

• Deep understanding of DLP technologies, security architectures, and incident response processes.

• Excellent communication skills with ability to influence at senior management levels.

• Experience leading cross-regional or group-wide data security programs is an advantage.

Job Description:

1.Huawei Cloud Data Governance Solution(for projects) design and delivery;

2.Responsible for verification of Intelligent Data Lake solutions(on Huawei Cloud)

3.Responsible for the optimization of Intelligent Data Lake solutions(on Huawei Cloud)

4.Technique leader of the Big Data/Data Warehouse/Data Governance projects(on Huawei Cloud)

Job Requirement:

1.More than 3 years of experience in Big Data, Data warehouse, and Data Governance projects in large companies

2.Be familiar with mainstream solutions and tools for data integration

3.Have a deep understanding of data standards, quality, models, and metadata management

4.Familiar with ETL design, data development planning, and data architecture

5.Familiar with Spark development

6.Familiar with Flink development

7.Familiar with Hive/SQL development

8.Understand common intelligent data lake and data governance solution construction scenarios in the industry

9.Ability to conduct dialogue and demand guidance among customers and at the grassroots level

Job Description:

1.Huawei Cloud Data Governance Solution(for projects) design and delivery;

2.Responsible for verification of Intelligent Data Lake solutions(on Huawei Cloud)

3.Responsible for the optimization of Intelligent Data Lake solutions(on Huawei Cloud)

4.Technique leader of the Big Data/Data Warehouse/Data Governance projects(on Huawei Cloud)

Job Requirement:

1.More than 3 years of experience in Big Data, Data warehouse, and Data Governance projects in large companies

2.Be familiar with mainstream solutions and tools for data integration

3.Have a deep understanding of data standards, quality, models, and metadata management

4.Familiar with ETL design, data development planning, and data architecture

5.Familiar with Spark development

6.Familiar with Flink development

7.Familiar with Hive/SQL development

8.Understand common intelligent data lake and data governance solution construction scenarios in the industry

9.Ability to conduct dialogue and demand guidance among customers and at the grassroots level