282 Data Steward jobs in Singapore

The ideal candidate will play a pivotal role in developing and implementing stewardship and governance policies across four key areas: manufacturing data catalog and lineage, data quality measures and improvement roadmap, domain-specific data councils and retention policy, business processes with IT, Fab users, data councils, and Digital manufacturing team.

The job entails identifying Fab data champions, forming domain-specific data councils, and developing an inventory of Critical Data Elements (CDE). Additionally, the candidate will develop a manufacturing data catalog and data lineage from source to report. Other responsibilities include defining and developing data quality KPIs and thresholds, establishing data quality issue escalation and remediation plans, and translating enterprise-wide data retention/custody policies to manufacturing data domain-specific retention/classification rules.

• Lead cross-functional teams to develop and implement data governance policies and procedures.
• Develop and maintain data catalogs and lineage.
• Define and track data quality metrics.
• Establish data quality issue resolution processes.
• Translate corporate data retention policies into site-specific guidelines.

• Bachelor's degree in computer engineering, computer science, or related field.
• Minimum 6 years of experience in digital manufacturing applications, preferably with a focus on data management.
• Proven track record of leading teams within manufacturing domains.
• Strong proficiency in data governance principles, data quality management, and data integration techniques.

We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. Our multicultural environment promotes productivity, efficiency, and innovation while ensuring employees feel valued and respected.

At our organization, we are seeking a highly skilled Data Integrity Specialist to join our team.

• Lead the implementation of analytical equipment and lab computerized systems including HPLC GC UV LIMS and Empower.
• Develop and execute validation deliverables such as URS risk assessments IQ/OQ/PQ RTM and summary reports.
• Ensure compliance with 21 CFR Part 11 Annex 11 ALCOA+ principles and data integrity controls.
• Evaluate and validate audit trails security settings and user access controls.
• Support integration between instrument PC network and enterprise systems.

In addition to these responsibilities, this role will also involve collaborating with QA QC and IT teams to support inspection readiness and continuous improvement.

This is a unique opportunity to utilize your technical expertise in data management and compliance to drive business growth and success. If you have strong analytical skills and experience working with laboratory systems, we encourage you to apply for this exciting opportunity.

Data and Accreditation Executive (1 Year Contract)

We are seeking a highly skilled Data and Accreditation Executive to join our team. This is a key role that involves ensuring the accuracy and reliability of institutional and program data.

The ideal candidate will have strong analytical and problem-solving skills, as well as excellent communication and interpersonal skills. They will be able to work independently and as part of a team to achieve shared goals.

This role is responsible for supporting accreditation processes, including AACSB and EQUIS, as well as Assurance of Learning initiatives. The successful candidate will also assist with academic matters related to curriculum, assessment rubrics, and e-Rubric platforms.

• Ensure the accuracy and reliability of institutional and program data collected through various channels
• Support accreditation processes, including AACSB and EQUIS, and Assurance of Learning initiatives
• Assist with academic matters related to curriculum, assessment rubrics, and e-Rubric platforms
• Provide support for program rankings and strategic education initiatives

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Proficiency in Microsoft Office

Data Scientist - TikTok Integrity and Safety
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Responsibilities
Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.
Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification. Develop monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. Deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. Work with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, improving platform safety.
Continuously explore and summarize data analysis methodologies, create reusable analysis frameworks and tools, and participate in the design and iteration of data products to provide business teams with efficient data services.
Qualifications
Minimum Qualification(s)
2+ years of data science experience, familiarity with Internet/content platform safety business is preferred. Bachelor's degree or above in statistics, data science, economics, mathematics, or a related field.
Proficient in SQL, skilled in using data analysis tools such as Python/R, and possesses excellent visualization skills. Familiar with common machine learning algorithm principles and understands methods such as causal inference and A/B testing.
Possesses excellent logical thinking, problem analysis and solving abilities, as well as good communication, expression, and cross-team collaboration skills.
Preferred Qualification(s)
Proficient in English as a working language; experience in content security, integrity, or risk management is preferred.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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Our team is responsible for developing and supporting technology solutions to ensure data integrity from source to target. This involves collaborating with cross-functional teams, analyzing data mappings and dictionaries, and streamlining processes to capture exceptions and ensure governance.

• Design and implement data controls and processes to ensure data quality.
• Collaborate with development and testing teams to ensure data transformation logics are adequately developed and tested.
• Analyze Source to Target Mappings documents and data dictionaries to identify areas for improvement.
• Streamline existing processes to ensure efficient exception management.
• Lead triage meetings globally to determine fixes for data issues identified.

This role requires a deep understanding of data sourcing and mapping, advanced SQL and Python programming skills, and the ability to work collaboratively in a fast-paced environment.

• University degree in technology or engineering.
• Minimum 8 years of experience in banking, with a focus on data sourcing and mapping.
• Advanced knowledge of ETL requirements and processes that transform data from source.

As a key member of our team, you will be responsible for driving technology initiatives beyond immediate projects to modernize capabilities and align with enterprise technology roadmaps.

You will have subject matter expertise in Anti Money Laundering domain and work closely with stakeholders globally to resolve data quality issues.

As a detail-oriented and analytical professional, you will play a key role in ensuring data accuracy, consistency, and reliability across various employee information records within our organization.

We are seeking a meticulous individual to support a data integrity and system enhancement initiative. The successful candidate will have the opportunity to work closely with stakeholders to identify and resolve data gaps or discrepancies.

The ideal candidate will have experience working with HR systems and data management, preferably involving Workday. A Bachelor's Degree in Business, Human Resource, Information Technology, or a related discipline is required. Strong attention to detail, good analytical ability, and effective written and verbal communication skills are essential for this role.

In this position, you will be responsible for performing comprehensive data cleaning and reconciliation in Workday, focusing on employee information across multiple data fields. You will also verify employee information through direct engagement with staff and cross-referencing records with source documents.

• Perform comprehensive data cleaning and reconciliation in Workday, focusing on employee information across multiple data fields.
• Verify employee information through direct engagement with staff and cross-referencing records with source documents.
• Identify and resolve data gaps or discrepancies.

• Bachelor's Degree in Business, Human Resource, Information Technology, or a related discipline.
• At least 1 year of relevant working experience, preferably involving HR systems or data management.
• Experience with Workday will be an advantage.
• Proficient in Microsoft Excel and comfortable working across multiple IT platforms.
• Strong attention to detail, good analytical ability, and effective written and verbal communication skills.

This role offers the opportunity to work in a collaborative environment and contribute to the enhancement of data quality and system reliability. If you enjoy working with data and thrive in a dynamic environment, we invite you to apply.

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.