145 Data Governance Manager jobs in Kuala Lumpur
Data Governance Manager
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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.
Senior Associate / Manager - Data Governance
Posted 11 days ago
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As a Senior Associate / Manager - 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, including collaboration with Legal and risk management, IT security, Business units, Academy, and Digital teams.
- 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.
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.
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.
- Self-starter with high attention to detail and commitment to compliance and data ethics.
- Mid-Senior level
- Full-time
- Information Technology, Management, and General Business
- IT Services and IT Consulting, Business Consulting and Services, and Professional Services
Senior Associate / Manager - Data Governance
Posted 11 days ago
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Job Description
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, including collaboration with Legal and risk management, IT security, Business units, Academy, and Digital teams. 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. 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. 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. Self-starter with high attention to detail and commitment to compliance and data ethics. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology, Management, and General Business Industries
IT Services and IT Consulting, Business Consulting and Services, and Professional Services
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Data quality
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We are a startup based in Singapore and Malaysia, where we specialize in boosting revenue by generating quality leads for SMEs & Startups, with AI Services Lead Gen Solution.
The main internship objective is to curate & make sense of diverse data sources using manual & automation and ensure data quality for the data set up of our AI solution, which uses web-based applications, AI agents, data, etc., to uplift productivity of our Go-to-Market (GTM) executives:
Take lead, own and assist the GTM Ops engineer to generate enriched data sets (via tools or manual means) for cold outreach by GTM specialist.
Any other engineering related work to unblock overall AI Sales Doctor's business.
Job Types: Internship, Student job
Contract length: 3 to 12 months
Pay: RM1, RM1,200.00 per month
Benefits:
- Flexible schedule
- Opportunities for promotion
- Professional development
Data Quality
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Responsibilities:
- Collaborate with stakeholders to uncover pain points and proactively identify potential data related issues, including data quality concerns.
- Collaborate with cross-functional teams, including business units and the data steward community, to facilitate multi-level stakeholder discussions on data issues and ensure end-to-end resolution. Drive root cause analysis, remediation planning, data cleansing and DQ resolution, including feedback loop to continuously improve data quality management.
- Take ownership of data quality issues and drive timely resolution, enforcing SLAs, managing reporting, and ensuring timely escalation and closure.
- Strengthen and streamline data-related processes by embedding appropriate governance practices across the data lifecycle, identifying gaps, and recommending process improvements to enhance efficiency and data quality.
- Conduct governance reviews and assessments to ensure data related projects and initiatives consistently meet data governance standards, including data quality requirements.
- Foster a culture of continuous improvement by sharing knowledge, facilitating workshops, and promoting process enhancements and best practices in data quality management.
- Provide management oversight through structured reporting and escalation process, including preparing decks, presentations, and insights that highlight data quality performance, risks, and improvement initiatives.
Requirements:
- Bachelor's degree with couple years of data governance / data management experience; experience in banking or financial services is strongly preferred.
- In-depth knowledge of data governance frameworks, policies, data lifecycle management, and data quality concepts.
- Proficiency in data analysis using data tools, dashboards, and reporting platforms (e.g., BI tools, data quality monitoring tools).
- Strong analytical and critical thinking skills; able to interpret large datasets, identify issues and root causes, and propose actionable solutions.
- Excellent communication and interpersonal skills, with the ability to engage senior executives and stakeholders at all levels.
- Proactive and solution-oriented; able to anticipate potential issues, recommend preventive measures, and resolve data quality challenges effectively.
- Thrives in a fast-paced environment, agile, collaborative, and outcome-driven.
- Drives initiatives independently, balancing tactical and strategic priorities.
- Acts as a change agent to drive adoption of data governance practices and promote a culture of accountability and continuous improvement.
Data quality
Posted today
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Job Description
We are a startup based in Singapore and Malaysia, where we specialize in boosting revenue by generating quality leads for SMEs & Startups, with AI Services Lead Gen Solution.
The main internship objective is to curate & make sense of diverse data sources using manual & automation and ensure data quality for the data set up of our AI solution, which uses web-based applications, AI agents, data, etc., to uplift productivity of our Go-to-Market (GTM) executives:
Take lead, own and assist the GTM Ops engineer to generate enriched data sets (via tools or manual means) for cold outreach by GTM specialist.
Any other engineering related work to unblock overall AI Sales Doctor's business.
Job Types: Internship, Student job
Contract length: 3 months
Pay: RM1, RM1,200.00 per month
Benefits:
- Flexible schedule
- Opportunities for promotion
- Professional development
- Work from home
Ability to commute/relocate:
- Kuala Lumpur: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- Please share links or references to something which you've built yourself, e.g. Github, Youtube, etc.
- What do you want this internship?
- Have you ever worked on data entry before? Although the key focus is on making sense of multiple data sources for data enrichment, manual data entry is required for data quality in order for our AI solution to work. Indicate yes, if you're prepared to do manual data entry and whatever it takes to make it work.
- Please confirm if you're studying or have studied at one of these institutions with a Yes or No answer.
If it's in Group A, please answer Yes A.
Group A:
Universiti Teknologi Malaysia (UTM)
Universiti Putra Malaysia (UPM)
Multimedia University (MMU)
Universiti Sains Malaysia (USM)
Universiti Teknologi PETRONAS (UTP)
Group B:
Asia Pacific University of Technology & Innovation (APU)
Universiti Tenaga Nasional (UNITEN)
Universiti Kuala Lumpur (UniKL)
MARA University of Technology (UiTM)
Tunku Abdul Rahman University College (TAR UC)
University of Nottingham Malaysia
Monash University Malaysia
Curtin University Malaysia
- When is your ideal start date and ideal duration of this internship?
Education:
- Bachelor's (Preferred)
Location:
- Kuala Lumpur (Required)
Work Location: In person
Manager, Data Governance, Policies and Sustainability
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Job Scope / Position Summary
- Responsible for the data governance and policies for financial and sustainability reporting
- Process improvement in relation to the financial and sustainability reporting
Main Responsibility
Sustainability Implementation
- Conduct gap assessments between the TCFD against the IFRS S1 and S2 sustainability disclosure standards, and against the ESRS adopted by the Group
- Collaborate with various departments to see through the implementation and adoption of Sustainability Reporting as target start date in 2026
- Sharing of implementation status to the Company Sustainability Committee
- Ensure compliance with the datapoints and processes as defined by the Group & Local Regulatory
Sustainability Reporting
- Identify the accurate datapoints required from different departments for the various reporting purposes i.e., Group and Local Regulatory purposes
- Collaborate with various departments, Regional and Group to ensure accurate, consistent, complete and timeliness of Sustainability reporting
- Conduct risk assessment related to Sustainability Reporting, and escalate where required
- Assist in the preparation of the sustainability-related financials
- Ensure compliance with the latest sustainability reporting requirements
Frameworks, Policies, Guidelines and SOPs
- Review of the local sustainability processes to ensure adoption and compliance to Group policies where applicable
- Review the related Frameworks, Policies, Guidelines and SOPs for synchronisation or process improvement purposes (e.g., Finance, Sustainability, Risk etc.)
Process Improvement under the Integrated Data Quality System (IDQS)
- Responsible for the reporting and follow up of Group Integrated Data Quality System (IDQS) contingency & remediation plans
- See through the closure of gaps identified by Group under the IDQS Framework
- Deliver process improvement on governance processes and internal controls to monitor, manage and oversee financial and sustainability-related risks and opportunities
Qualification and Experience Requirement
- Bachelor's Degree in Accounting / Finance or equivalent
- Minimum 3-4 years' experience in relevant and related job functions/roles
- Ability to adapt and learn fast, diligent, trustworthy and have strong initiative to learn
- Result oriented, committed, team player, positive working attitude, good communication and interpersonal skills
- Computer literate, specifically in MS Office
- Strong communication skills
- Experience in internal audit/risk management/reporting
- Strong verbal and written communication skills
- An analytical mind and inclination for problem-solving
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Data Quality Analyst
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Job ID: 33578
Location: Bukit Jalil KL, MY
Area of interest: Operations
Job type: Regular Employee
Work style: Office Working
Opening date: 20 Aug 2025
ob Summary
- To manage the operations of the Cash Management Operations i.e. Pre-Processing, Processing (Payment and Clearing) and Static Data Unit (set up, maintenance, pricing and billing, CoE, LM) in ensuring consistent delivery of high quality services to customers and meeting objectives set by the Group using available resources allocated while maintaining operational risk to an accepted level.
- To manage daily operations to achieve service quality by meeting / exceeding service standards and achieving zero defect for Cash Management Operations i.e. Pre-Processing, Processing (Payment and Clearing) and Static Data Unit (set up, maintenance, pricing and billing, CoE, LM)
- To discharge operational duties of the Cash Management Operations i.e. Pre-Processing, Processing (Payment and Clearing) and Static Data Unit (set up, maintenance, pricing and billing, CoE, LM), as instructed by the Manager of the Unit/ Head of Department and ensure that the established service standards are met
- Direct staff responsibilities as per current Organization Chart in Cash Management Operations i.e. Pre-Processing, Processing (Payment and Clearing) and Static Data Unit (set up, maintenance, pricing and billing, CoE, LM))
Key Responsibilities:
Business
- Maintain a close working relationship with the customers to ensure that service issues are promptly escalated and acted upon;
- Initiating & implementing service quality initiatives
- Uphold the values of the Group and company at all times.
Processes
- Ensuring continuous improvement in timeliness to the standards prescribed for the process from time to time.
- Releasing deals as per the department operating instruction manual, customers instructions and within the timeliness and accuracy standards specified.
- Ensuring compliance with all applicable Rules / Regulations and Company and Group Policies. Identifying exceptions from the norms & initiating corrective and preventive actions.
- Comply with Group Money Laundering Prevention Policy and Procedures and Sanctions to the extend applicable and reporting all suspicious Transaction to the Line Manager.
- Where applicable, ensure compliance to Group and Country Regulations are managed to the extend agreed with the Countries and ensure all staff adhere to the same.
The Ideal Candidate:
- Bachelor's Degree or equivalent
- Min 3-5 years of experience
- Able to lead a team
- Experience in Cash Payments
- Analytical skills
- Must have MS Office (Word, Excel & Power Point)
- Python knowledge is good to have
- Prior experience in payment investigation is required
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options based around home and office locations, with flexible working patterns.
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
- A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
- Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
data quality analyst
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Responsibilities
Supports the implementation of a quality improvement and patient safety program to enhance decision-making by;
Collecting clinical and non-clinical data from multiple sources
- Managing and organizing data sets from database management systems
- Analyzing data to identify patterns, trends, and variations, including distinguishing between special cause and common cause variation in data points
- Coordinate and manage timely data submission to external parties.
- Transforming complex data into clear and actionable insights
- Sharing findings with stakeholders through reports and presentations
- Providing evidence-based recommendations for improvement
- Create and maintain a system for data management using SQL and PowerBI and providing ongoing support as needed.
- Prepare the Quality Improvement and Patient Safety report for Management Committee, Audit, Risk & Compliance Committee and Board of Directors.
- Coordinate and analyzed the Hospital Survey on Patient Safety Culture to identify key insights and areas for improvement.
Identify areas for improvement to enhance quality and patient safety;
Coordinate organizational wide projects utilizing effective tools such as PDSA (Plan-Do-Study-Act), Failure Mode & Effect Analyses (FMEA), Lean Management, Patient Related Outcome Measure and Patient Related Experience Measure, etc.
- Lead and coordinate data validation activities for new quality measures, ensuring accuracy, reliability, and validity of data.
- Coordinate a Quality Forum to review and discuss stakeholders' data analyses on Quality Improvement & Patient Safety (QPS) initiatives.
- Assists in coordinating activities for hospital-wide accreditations and providing support to the respective department in their pursuit of certification, such as conducting internal audits.
Qualifications
- Bachelor's Degree in Health Science, Healthcare Management, Data Management or equivalent.
- Professional Certificate in Data Analytics, Data Science or equivalent.
- Possess at least a Basic Certificate in Quality and Patient Safety Course
Additional Qualifications / Skills
- Strong analytical skills.
- Knowledgeable in statistical analysis software; SPSS, Power BI, MySQL.
- Knowledgeable in MS Office (Excel, Words, Publish and PowerPoint)
- Strong analytical skills with the ability to think logically, solve problems, and maintain high attention to detail.
- Knowledgeable in hospital accreditation standards, including Joint Commission International (JCI) and Malaysian Society for Quality in Health (MSQH), with proven experience in organizing and preparing accreditation readiness activities
- Good report writing and good command of English.
data quality engineer
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Job Description – Data Quality Engineer
We are seeking a detail-oriented and analytical Data Quality Engineer to ensure the accuracy, consistency, and reliability of data across multiple systems. The role involves designing and maintaining data quality frameworks, building automated validation tests, monitoring ETL/ELT pipelines, and collaborating with data engineers, analysts, and business stakeholders to enforce standards and resolve data issues. You will also develop dashboards to track data quality KPIs, perform root cause analysis, and support data governance efforts such as profiling, metadata management, and lineage tracking.
Skills & Qualifications:
- Proficiency in SQL for data profiling and analysis.
- Experience with data quality tools (Great Expectations, Talend, Informatica, dbt tests).
- Familiarity with data warehousing and ETL/ELT platforms (Snowflake, BigQuery, Airflow, Fivetran).
- Understanding of data governance, lineage, and stewardship.
- 3+ years of experience in data quality, data engineering, or a related field.
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
- Python or scripting experience is a plus.
Personal Attributes:
Fast learner, adaptable, strong problem-solver, and a collaborative team player.
Job Type: Contract
Contract length: 12 months
Pay: RM2, RM9,416.37 per month
Work Location: In person