322 Data Quality jobs in Singapore

The role of a Senior Annotation Analyst is pivotal in shaping the user experience and fostering team collaboration.

As a key player, you will utilize your linguistic expertise, analytical skills, and cultural knowledge to evaluate Siri responses against established guidelines.

You will provide invaluable guidance to junior annotation analysts on procedural, quality, and tools-related matters, while serving as an SME on English comprehension and cultural understanding.

A crucial aspect of this position is adaptability and task prioritization. You will leverage your device-specific troubleshooting expertise to support high-priority and business-critical needs, as well as provide actionable feedback for improving existing tooling to enhance annotation throughput and quality.

Our team focuses on innovative approaches to customer-centric solutions, leveraging knowledge of how customers interact with Siri to drive improvements. We seek a highly skilled professional with exceptional English reading, comprehension, and writing abilities to analyze data annotation accuracy.

The ideal candidate should possess experience working with language data, demonstrate aptitude for acquiring advanced technical skills, and exhibit eagerness to learn and take on new challenges. Additionally, effective communication, presentation, and coaching/mentoring skills are highly desirable qualities.

Position Overview

We are seeking an experienced professional to lead Data Quality Oversight within our Asset Management business. The role will focus on strengthening data governance practices, ensuring accuracy and consistency of critical investment and reference data, and driving data quality initiatives across front, middle, and back-office functions. This position will play a pivotal role in supporting operational efficiency, regulatory compliance, and business transformation initiatives.

Key Responsibilities

• Establish and oversee the data quality framework, including policies, standards, and controls for investment and reference data.
• Define and monitor key data quality metrics (completeness, accuracy, timeliness, consistency, validity) across multiple systems and processes.
• Identify data quality issues, perform root cause analysis, and partner with technology, operations, and business teams to design remediation strategies.
• Implement tools and processes for proactive data validation, reconciliation, and exception handling.
• Serve as the primary point of contact for data quality matters across internal stakeholders and external service providers.
• Partner with data owners, data stewards, and business teams to drive adoption of best practices in data governance and stewardship.
• Support regulatory and compliance requirements related to data accuracy, benchmark data, pricing data, and reporting standards.
• Collaborate with cross-functional teams to embed data quality into ongoing transformation programs, system migrations, and process redesign initiatives.
• Provide periodic reporting on data quality trends, risks, and remediation progress to senior stakeholders.

Candidate Attributes

• Strong understanding of asset management industry processes, data flows, and operating models.
• Excellent problem-solving, analytical, and stakeholder management skills.
• Strong risk and control mindset with the ability to identify weaknesses and implement sustainable solutions.
• Detail-oriented, structured thinker with the ability to work across multiple initiatives simultaneously.
• Confident communicator, comfortable working with senior stakeholders and external service providers.

Qualifications & Experience

• Minimum of 12–15 years’ experience in the Asset Management industry, with a focus on data management, data governance, or investment operations.
• Proven experience managing data quality frameworks across major asset classes, including equities, fixed income, and derivatives.
• Strong knowledge of reference data, benchmark/index data, pricing data, and market data management.
• Experience with data governance tools, data lineage, and data quality monitoring solutions.
• Familiarity with vendor platforms and industry utilities; experience with BlackRock Aladdin, Charles Rivers, Bloomberg or similar investment systems is an advantage.

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.

RecruitFirst if hiring You will be outsourced to:

Location: Central

Working Hours:Mon- Fri: 9am to 630pm

Salary: Up to $6,000 per month + bonus

Duration: 1 year contract, subject to extension or conversion

Job Description:

• Technical development work for upcoming Data Quality initiatives
• Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.
• Strategic thinker with a proactive approach to problem solving paired with strong stakeholder engagement skills
• Ability to story tell with data, articulating key points for consideration, as opposed to reading numbers off the dashboard
• Perform data profiling using SQL on large datasets to identify potential data quality issues.
• Develop and amend Qlik dashboard visualizations, in accordance to business requirements.
• Execute technical analysis with respect to data quality processes including requirement gathering, root cause analysis, dashboard wireframes and stakeholder engagement.
• Develop and perform SIT/UAT test cases for data quality rules and dashboard visualizations.
• Validation of technical implementation to ensure deliverables are fit for requirement with users.
• Strong written and presentation communication skills including dashboards and PowerPoint presentations
• Business process improvement and optimization including creation of SOP
• Develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements (good to have)

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related fields
• Prior experience in data quality, data analytics, or banking/financial services is an advantage

• Mandatory Skills:

• SQL (Query, Table Creation), Qlik dashboard visualization development

• Stakeholder management skills

• Strong presentation skills in PowerPoint & project/time management experience

• Good to have:

• Python Scripting & Automation

• Experience with Informatica IDQ

• Singaporeans only.

Ministry of Manpower

Internship

Closing on 15 Sep 2025

What the role is

Project title: Bringing data to life with visualization.
Project Overview: The department conducts many surveys throughout the year to collect key labour market indicators. With the large amount of data collected via surveys, there is a need for effective data validation and consistency checks to ensure a certain level of data quality.

What you will be working on

The interns will assist with python code streamlining, survey data exploration, alternative data source exploration and maintenance of dashboards for MRSD's statistical releases and analysis.

What we are looking for

• Python and R
  Learning Outcomes:
• Gain hands-on experience in Python programming and code optimization
• Develop proficiency in data analysis and visualization techniques
• Acquire skills in handling and processing survey data
• Develop ability to explore and evaluate alternative data sources
• Enhance problem-solving skills through data exploration
• Understand data quality assessment and validation techniques

About Ministry of Manpower

Championing Human Potential for a Thriving Singapore
Singaporeans are at the heart of what we do. The Ministry of Manpower (MOM) empowers our people and fosters a thriving, inclusive workforce that drives Singapore's growth and prosperity. By working closely with our tripartite partners, industry and community stakeholders, we strive to create workforce and workplace policies that foster resilience, adaptability, and a bright future for a thriving Singapore.
As an MOM officer, you will be part of this meaningful mission, contributing across diverse and impactful areas - from shaping forward-looking and effective manpower policies and strengthening industrial relations, to enhancing workplace safety standards and ensuring balanced local and foreign workforce regulations. Here at MOM, we are committed to creating an inclusive experience not just for our national workforce, but also for our officers who work tirelessly to champion human potential for a thriving Singapore.

About your application process

This job is closing on 15 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Ministry of Manpower or the wider Public Service.

Are you looking for a challenging role where you can make a real impact? This position offers the opportunity to develop and implement stewardship and governance policies in key areas of manufacturing data, ensuring high-quality data is available for business decisions.

In this role, you will be responsible for:

• Data Stewardship: Develop and implement policies for manufacturing data catalog and lineage, data quality measures, domain-specific data councils, and retention policy.
• GlobalFoundries Data Council: Participate in the GlobalFoundries data council, working with cross-functional teams to ensure data quality and integrity.

You will work closely with stakeholders across multiple sites to optimize data architecture infrastructure and platforms for manufacturing data management and analysis. This includes partnering with GFIT to evaluate emerging trends and advancements in data management and digital manufacturing technologies.

We are seeking an experienced professional who can lead by example, fostering a culture of ownership, collaboration, innovation, and growth mindset within the manufacturing data steward and governance team. If you have excellent leadership skills, a strong background in data governance, and experience with data quality initiatives, we encourage you to apply.

This role requires strong analytical and problem-solving skills, with the ability to communicate complex ideas effectively. You should be able to stay up-to-date on emerging trends and advancements in data management and digital manufacturing technologies. Additionally, you must be able to perform all activities in a safe and responsible manner and support Environmental Health Safety & Security requirements and programs.

If you are passionate about data governance and want to make a meaningful contribution to our organization, please submit your application. We look forward to hearing from you!

This role involves working closely with stakeholders to comprehend business and functional requirements for data quality initiatives.

Leveraging SQL queries is essential to ensuring optimal data quality scores. The ideal candidate will possess strong analytical skills, be proficient in SQL, and have experience in data profiling.

• Develop and implement technical solutions for upcoming data quality projects.
• Collaborate with internal and external stakeholders to translate business needs into analytical solutions.
• Perform data profiling using SQL to identify potential data quality issues.
• Design and develop Qlik dashboard visualizations based on business requirements.
• Execute technical analysis of data quality processes, including requirement gathering, root cause analysis, and stakeholder engagement.
• Develop and perform SIT/UAT test cases for data quality rules and dashboard visualizations.
• Validate technical implementation to ensure deliverables meet user requirements.

Key Qualifications:

• Strong analytical skills and proficiency in SQL.
• Experience in data profiling and data quality process improvement.
• Ability to collaborate with stakeholders and communicate technical information effectively.
• Knowledge of Qlik Sense and ability to design and develop dashboard visualizations.

Benefits:

• Opportunity to work on high-profile data quality projects.
• Professional growth and development opportunities.
• Collaborative and dynamic work environment.

• SQL (Query, Table Creation)
• Qlik Dashboard Visualization Development
• Stakeholder management
• Strong presentation skills in PowerPoint
• Project/time management experience

• Python Scripting & Automation

1. Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.
2. Strategic thinker with a proactive approach to problem solving paired with strong stakeholder engagement skills
3. Ability to story tell with data, articulating key points for consideration, as opposed to reading numbers off the dashboard
4. Perform data profiling using SQL on large datasets to identify potential data quality issues.
5. Develop and amend Qlik dashboard visualizations, in accordance to business requirements.
6. Execute technical analysis with respect to data quality processes including requirement gathering, root cause analysis, dashboard wireframes and stakeholder engagement.
7. Develop and perform SIT/UAT test cases for data quality rules and dashboard visualizations.
8. Validation of technical implementation to ensure deliverables are fit for requirement with users.
9. Strong written and presentation communication skills including dashboards and PowerPoint presentations
10. Business process improvement and optimization including creation of SOP
11. Develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements

Job Title: Manufacturing Data Governance Manager

Are you looking for a challenging role where you can make a real impact? This position offers the opportunity to develop and implement stewardship and governance policies in key areas of manufacturing data, ensuring high-quality data is available for business decisions.

In this role, you will be responsible for:

• Data Stewardship: Develop and implement policies for manufacturing data catalog and lineage, data quality measures, domain-specific data councils, and retention policy.
• GlobalFoundries Data Council: Participate in the GlobalFoundries data council, working with cross-functional teams to ensure data quality and integrity.

You will work closely with stakeholders across multiple sites to optimize data architecture infrastructure and platforms for manufacturing data management and analysis. This includes partnering with GFIT to evaluate emerging trends and advancements in data management and digital manufacturing technologies.

We are seeking an experienced professional who can lead by example, fostering a culture of ownership, collaboration, innovation, and growth mindset within the manufacturing data steward and governance team. If you have excellent leadership skills, a strong background in data governance, and experience with data quality initiatives, we encourage you to apply.

This role requires strong analytical and problem-solving skills, with the ability to communicate complex ideas effectively. You should be able to stay up-to-date on emerging trends and advancements in data management and digital manufacturing technologies. Additionally, you must be able to perform all activities in a safe and responsible manner and support Environmental Health Safety & Security requirements and programs.

If you are passionate about data governance and want to make a meaningful contribution to our organization, please submit your application. We look forward to hearing from you!

Business Intelligence Leader - Data Quality and Governance

The role involves overseeing the implementation of data governance initiatives to ensure high-quality data.

Key responsibilities include:

• Developing and implementing data quality strategies to meet business needs.
• Leading a team to implement data governance frameworks, ensuring compliance with regulatory requirements.
• Collaborating with stakeholders to identify and address data quality issues.

To be successful in this role, you will need:

• A Bachelor's degree in Computer Science, Information Systems, or a related field.
• At least 7 years of experience in data governance, data quality, or metadata management, with at least 3 years in a managerial role.
• Proven experience in implementing enterprise data governance initiatives and compliance with regulatory requirements.
• Strong knowledge of data governance methodologies and tools.
• Excellent communication and leadership skills.

This is an exciting opportunity to work with a talented team and contribute to the success of our organization.

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.