145 Data Steward jobs in Kuala Lumpur

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.

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:

1. 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.

2. 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

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.

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.

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

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.

We are seeking a detail-oriented and analytical **Data Quality Engineer** to join our client data team. The ideal candidate will be responsible for ensuring the accuracy, consistency, and reliability of data across multiple systems and sources. You will work closely with data engineers, analysts, and business stakeholders to define data quality standards, implement validation rules, and monitor data pipelines for quality issues.

Key Responsibilities & Accountabilities

*Design, implement, and maintain data quality frameworks and validation tools.

* Develop and execute automated data quality tests, including completeness, consistency, accuracy, and timeliness checks.

* Monitor ETL/ELT pipelines and identify data quality issues and anomalies.

* Collaborate with data engineers, data scientists, and business analysts to define and enforce data quality standards and SLAs.

* Build dashboards and reports that provide visibility into data quality metrics and KPIs.

* Perform root cause analysis on data issues and recommend long-term solutions.

* Document data quality rules, procedures, and data dictionaries.

* Assist in data governance efforts including data profiling, metadata management, and data lineage tracking.

Skills:

· Proficiency with SQL for data profiling and quality analysis.

· Experience with data quality tools (e.g., Great Expectations, Talend, Informatica, dbt tests).

· Familiarity with data warehousing and ETL tools (e.g., Snowflake, BigQuery, Airflow, Fivetran).

· Strong understanding of data governance, data lineage, and data stewardship concepts.

· Experience with Python or another scripting language is a plus.

· Excellent problem-solving, analytical, and communication skills.

Years of Relevant Experience:

· 3+ years of experience in data quality, data engineering, or related field.

Education Qualification(s):

· Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.

Personal attributes:

· Fast leaner

· Able to adapt to the environment and culture easily

· Good team player

Job Type: Full-time

Pay: Up to RM10,000.00 per month

Benefits:

• Health insurance
• Maternity leave
• Opportunities for promotion
• Parental leave
• Professional development

Experience:

• data quality: 3 years (Required)

Work Location: In person

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.

Data Quality (DQ) Analyst are responsible for ensuring the overall health of the data ecosystem and the quality of data within it. Through their in-depth understanding of the data and requirements of downstream consumers, they define (and constantly refine) data quality controls and reports. DQ Analyst track and manage DQ issues and work to prevent them from impacting day to day activities more than necessary.

They will work closely with:

• FCSO Data Managers, who define the team's business requirements, objectives, strategy and priorities
• FCSO Data Specialist, who help to define solutions to DQ issues if they arise due to internal logic limitations
• FCSO Data Engineers, who design and implement the required data quality controls
• Downstream Process Owners, who must be aware of and understand any data quality issues
• Upstream data teams, who may need to take remedial action to solve data quality issues within their datasets / processes

DQ Analyst review the output of controls on a day to day basis and must respond quickly and appropriately to any issues that arise. Having identified an issue, they will engage the necessary stakeholders to manage the impact and define a path to resolution.

• Support FCSO data strategy & vision
• Ensure the overall health of the data ecosystem and the quality of data per bank’s data quality management standard
• Track and manage DQ issues and work to prevent them from impacting day to day activities
• Define control requirements and constantly seek to enhance these
• Identify patterns in data quality issues and look for opportunities to address these strategically

• Experience in managing sophisticated and stringent data quality control processes
• Competence with data profiling tools and methodologies (SQL at a minimum)
• Good understanding of data models and the ability to navigate across multiple layers of transformation
• Good functional understating of critical data elements defined for Transaction monitoring/Name Screening/Trade Finance Operations

• Data Analytics
• SQL
• Stakeholder Communication
• Knowledge on Trade and Security Service AML
• DQMS and DQMF

• Competitive salary and benefits
• Core bank funding for retirement savings, medical and life insurance
• Time-off including annual leave, parental/maternity, sabbatical and volunteering leave
• Flexible working options
• Proactive wellbeing support
• A continuous learning culture