271 Master Data Governance jobs in Singapore

The successful candidate will serve as a key liaison between stakeholders and the IT team, providing critical guidance on data compliance and governance. They will be responsible for developing and implementing effective frameworks to ensure alignment with organizational policies and standards.

• Evaluate data access requests to ensure they meet existing policy and standards requirements.
• Collaborate with stakeholders to implement new policies and procedures.
• Develop and maintain user access governance processes to ensure compliance and efficiency.
• Organize and execute risk-based IT audits to identify areas for improvement and provide recommendations for enhancements.
• Participate in special projects and investigations as needed, providing expert analysis and recommendations.
• Support the development and implementation of strategic initiatives to enhance IT governance and compliance.
• Collaborate with cross-functional teams to develop and implement best practices for data management and compliance.
• Stay up-to-date on industry trends and emerging technologies, identifying opportunities for innovation and improvement.
• Develop and deliver training programs to support the development of IT professionals in areas such as data compliance, governance, and security.
\(Requirements

We are seeking an exceptional candidate with:

• A bachelor's degree from an accredited institution.
• 1-2 years of relevant professional experience in IT governance, data compliance, or a related field.
• Strong analytical and problem-solving skills, with excellent communication and interpersonal skills.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Ability to work collaboratively across departments to achieve business objectives.
\(Benefits

We offer a competitive compensation package and benefits, including:

• Comprehensive health insurance.
• Retirement savings plan.
• Generous paid time off.
\(What We Offer

Join our dynamic team and take advantage of:

• Professional growth and development opportunities.
• Collaborative and supportive work environment.
• Opportunities to contribute to innovative projects and initiatives.

Location:
Remote, Singapore
Classification:
Full-time
Level: Senior / Experienced
Position Overview
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.
Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:
Gizmodo:An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
Adweek:A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
Washington Post:Your kids’ apps are spying on them
Pro Publica:Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
ABC7 News:The State of Children's Privacy Online
NBC News:How many apps are tracking your children
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC , London and Singapore.
At Pixalate, we are building technology products for a trustworthy, clean and safe supply chain for Connected TV, Mobile and Web advertising. Our software has transformed how the advertising industry approaches quality and safety through our ratings, risk assessment, compliance, and fraud prevention technology. Now, we’re looking for a senior-level QA Analyst who lives and breathes data integrity, thrives on complex datasets, and wants to ensure our products set the industry standard for quality and reliability.
Job Description
In this role, you won’t just “test software” — you’ll safeguard the trustworthiness of our data pipelines, analytics, and ML models that power multi-million-dollar business decisions and compliance workflows. You’ll work closely with data engineers, data scientists, and product teams to build rigorous QA frameworks that validate everything from ETL pipelines to automated UI flows.
You’ll have autonomy, high visibility, and the chance to influence product quality across the organization.
Key Responsibilities
Own end-to-end QA for data-driven features, from raw ingestion through analytics layers and UI presentation.
Develop and execute comprehensive test plans for high-volume, high-velocity datasets — ensuring accuracy, and completeness.
Partner with engineering & data science teams to validate ETL logic, transformation rules, and ML training datasets.
Build automated data validation scripts using SQL/BigQuery queries and integrate them into CI/CD pipelines.
Implement and maintain automated UI testing using tools like Selenium, Appium, Playwright, or similar.
Proactively identify data integrity issues and prevent them from reaching production
Establish QA best practices for data-centric applications and mentor other QA team members.
Champion data quality metrics as a core part of product health.
Skills and Qualifications
3+ years in QA, with a strong focus on data testing and UI automation (ad tech or analytics product experience is a plus).
Proficiency in SQL or BigQuery Standard SQL for data validation and back-end testing
Experience validating large-scale datasets, ETL pipelines, or BI dashboards.
Familiarity with ML model workflows and techniques for QA’ing training data.
Strong understanding of QA methodologies and automation frameworks.
Sharp analytical mindset with obsessive attention to detail.
Excellent communication skills — able to explain complex data issues to non-technical stakeholders.
Why You'll Love Working with Pixalate
At Pixalate, we offer a competitive salary, outstanding benefits, and a dynamic work environment. You will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in.
Benefits
Monthly internet reimbursement
Casual, remote work environment
Hybrid, flexible hours
Opportunity for advancement
Fun annual team events
Being part of a high performing team that wants to win and have fun doing it
Extremely competitive compensation
#J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Charterhouse Asia

A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

Responsibilities:

• Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
• Design and maintain logical and physical data models that align with key business use cases.
• Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
• Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
• Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
• Align data architecture with governance, quality, and metadata standards.
• Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
• Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

Requirements:

• Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
• 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
• Solid understanding of data governance principles (e.g. DAMA-DMBOK).
• Proven expertise in building data models for banking, risk, compliance, and finance domains.
• Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
• Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
• Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
• Familiarity with APAC financial regulatory frameworks is a plus.
• Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Financial Services, Data Infrastructure and Analytics, and IT System Data Services

Referrals increase your chances of interviewing at Charterhouse Asia by 2x

Get notified about new Vice President of Architecture jobs in Singapore, Singapore .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Charterhouse Asia

Recruiting Top Talent in Technology, Quant Dev, & Digital l Career Coach l

A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

Responsibilities:

• Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
• Design and maintain logical and physical data models that align with key business use cases.
• Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
• Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
• Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
• Align data architecture with governance, quality, and metadata standards.
• Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
• Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

Requirements:

• Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
• 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
• Solid understanding of data governance principles (e.g. DAMA-DMBOK).
• Proven expertise in building data models for banking, risk, compliance, and finance domains.
• Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
• Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
• Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
• Familiarity with APAC financial regulatory frameworks is a plus.
• Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Financial Services, Data Infrastructure and Analytics, and IT System Data Services

Referrals increase your chances of interviewing at Charterhouse Asia by 2x

Get notified about new Vice President of Architecture jobs in Singapore, Singapore .

SVP - Applications Development Technology Senior Lead (Hybrid)

SVP - Applications Development Delivery Lead - Flexcube (Hybrid)

VP - Applications Development Senior Manager (VisionPLUS/Mainframe) - Hybrid

VP - Application Development Senior Manager (Credit Cards Domain) - Hybrid

VP - Application Development Lead Analyst (eTrading/Front Office Trading) - Hybrid

Trading Application Support and Development Engineer, Associate/AVP

AVP - Applications Development Programmer Analyst (Mainframe) - Hybrid

AVP : Applications Development Programmer Analyst (Mainframe) - Hybrid

AVP - Applications Development Senior Programmer Analyst (VisionPLUS/Mainframe) - Hybrid

AVP - Applications Development Senior Programmer Analyst (Java) - Hybrid

VP/AVP, End User Collaborative Service (Engineering), Future Ready Technology, Group Technology

Assistant Director - Zero Trust Architecture (Cyber Security Office)

Vice President, Platforms And Architecture, Information Technology

SVP/VP, Data & Enterprise Architecture, Technology Risk Manager, Tech COO, Group Technology

Applications Support Sr Manager - VP - SINGAPORE

Assistant Vice President, Production Services Specialist (Event and Incident Management), Application Production Services and Engineering

Assistant Vice President, Production Operations Specialist (Event and Incident Management), Application Production Services and Engineering

Assistant Vice President, Production Operations Specialist (Event and Incident Management), Application Production Services and Engineering

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are seeking a skilled professional to fill the role of Data Engineer/Software Developer.

The successful candidate will be responsible for designing and implementing data integration pipelines and asynchronous data events using event-driven architecture to consolidate data from various sources and systems.

• Collaborate with highly skilled Software Engineers and Data Engineers in deploying and delivering software products.
• Taking ownership of key software components development.
• Design, develop, and maintain scalable data models and schemas using best practices.
• Develop integration connectors for multiple sources and systems.
• Data transformation and processing: clean, normalize, and aggregate data.
• Strong knowledge of data manipulation languages like SQL necessary to build and maintain complex queries and data pipelines.
• Implement event-driven processing pipelines using frameworks like Solace Pubsub, Apache Kafka, MQTT, AMQP.

• Bachelor's/Master's degree in Computer Science / Engineering / Industrial Engineering or related field.
• Proficiency in at least one object-oriented language; Java skills are desirable.
• Deep understanding of event-driven architecture, data producers and consumers.
• Knowledge on data analytics pipeline, data lakehouse & warehouse concept.
• Familiarity with relational and non-relational databases.
• Excellent communication, collaboration, and problem-solving skills.

• Work collaboratively as part of a team.
• Design and implement data pipelines.
• Develop integration connectors.
• Maintain data quality.
• Collaborate with cross-functional teams.

As a Data Engineer/Software Developer, you will have the opportunity to work on challenging projects and contribute to the success of the company. We offer a competitive compensation package and opportunities for career growth and professional development.

We are seeking a highly skilled and experienced data architecture specialist to design, build, and optimize end-to-end data architecture for social service platforms. This role involves leading efforts in data modeling, pipeline development, API integration, data security, and cross-agency data synchronization, ensuring secure and efficient access to critical citizen information.

Key Responsibilities:

1. Data Architecture & Pipeline Development

• Design and implement scalable and reusable data models to support social service integration.
• Build and manage ETL/ELT pipelines for legacy system migration and real-time data synchronization across agencies.
• Develop and maintain batch and streaming data pipelines for cross-agency data sharing.
• Implement data validation frameworks and monitoring systems to ensure high data quality.

2. Integration Development & API Management

• Design and develop RESTful APIs and system integrations for solutions like case management software.
• Develop and maintain detailed API documentation, including interface contracts and change logs.
• Ensure API performance, security, availability, and scalability through structured testing and monitoring.

3. Data Security & Compliance

• Enforce data protection measures, including field-level encryption, role-based access controls, and secure data transfer.
• Ensure compliance with regulatory frameworks.
• Maintain audit trails, implement data masking, and classify sensitive data appropriately.
• Monitor and enforce data policies across environments.

4. Performance Optimization & Monitoring

• Tune query performance and batch processing to support near real-time analytics.
• Monitor and optimize real-time data synchronization processes.
• Develop and maintain performance dashboards to track pipeline health and system metrics.
• Ensure high system reliability, uptime, and service level objectives (SLOs) are met.

5. Cross-Team Collaboration

• Collaborate closely with business analysts, solution architects, DevOps, and frontend/backend developers.
• Participate in Agile ceremonies, including sprint planning, backlog grooming, and retrospectives.
• Conduct code reviews, engage in pair programming, and foster technical excellence within the team.
• Provide expertise and support on data integration and architecture.

6. Quality Assurance & Documentation

• Maintain clear and up-to-date technical documentation, including system design and data flow diagrams.
• Develop automated test cases to validate data transformations and integration logic.
• Conduct end-to-end data accuracy validation across source and destination systems.
• Create troubleshooting playbooks and resolution procedures to support operational teams.

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, or related discipline.
• 7+ years of experience in data architecture, data engineering, or system integration roles.
• Proficient in ETL tools, SQL, data modeling, and real-time stream processing frameworks.
• Strong experience with API development and integration standards.
• Familiarity with systems integration, services, and compliance requirements.
• Solid understanding of data security, access control, and compliance frameworks.
• Experience in cloud platforms, CI/CD pipelines, and monitoring tools.
• Excellent communication and documentation skills.

This individual will be responsible for designing logical data models, building data marts, and aligning enterprise data architecture with business needs—especially across complex banking and financial domains. The role requires close collaboration with both business and technical teams to ensure data assets are effectively structured to support robust analytics and strategic decision-making.

• Work closely with business stakeholders and system teams to gather data requirements across areas such as banking products, transactions, customer data, regulatory reporting, and analytics.
• Design, maintain, and evolve logical and physical data models that support financial operations, risk, compliance, and performance reporting.
• Translate business use cases into normalized and de-normalized data structures, optimized for both operational and analytical purposes.
• Lead the design and enhancement of data marts, integration layers, and enterprise data warehouse components.
• Collaborate with engineering teams to deploy and optimize data models for performance and scalability with large-scale financial datasets.
• Ensure alignment of data models with enterprise data governance, metadata standards, and data quality frameworks.
• Create and maintain documentation including data dictionaries, lineage diagrams, and architectural blueprints to support transparency, compliance, and business understanding.
• Contribute to initiatives related to data lineage, metadata management, and trust in enterprise data assets.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field; a Master’s degree is preferred.
• Minimum 10 years of experience in data architecture, data modeling, or enterprise data management—preferably within the banking or financial services industry.
• Foundational understanding of data governance principles and frameworks (e.g., DAMA-DMBOK).
• Strong expertise in developing logical and physical data models across banking, compliance, risk, and analytics domains.
• Proficiency in data modeling tools such as Erwin, PowerDesigner, or similar.
• Advanced SQL skills and experience working with large, complex financial data environments.
• Strong grasp of relational and dimensional modeling, data warehousing principles, and data integration best practices.
• Familiarity with regulatory requirements within the Asia-Pacific region is an advantage.
• Excellent communication and collaboration skills to engage with stakeholders across business and technology functions.

Job Title:
Senior Data Analyst – Compliance
Company:
Binance
Job Type:
Full-time
Posted:
Reposted 19 hours ago
About Binance
Binance is the world’s largest cryptocurrency exchange by trading volume and users, trusted by over
250 million users in 100+ countries . As a global blockchain ecosystem, Binance delivers a broad suite of digital asset products—from trading and payments to education and institutional services—helping to expand financial freedom and crypto adoption worldwide.
About the Role
The
Senior Data Analyst – Compliance
will lead and contribute to analytical efforts aimed at ensuring regulatory adherence and internal policy alignment across Binance's operations. You’ll collaborate with cross-functional teams to design systems and dashboards that monitor transactional patterns, optimize operational workflows, and support global compliance frameworks.
Key Responsibilities
Lead a high-performing data analytics team , building models and visualizations that support compliance and risk-related objectives.
Partner with compliance departments to prioritize analytical use cases and deliver
data-driven insights .
Interpret and analyze
large-scale (PB-level) transactional and operational data
using open-source and proprietary tools.
Develop and manage
data visualization dashboards
and tools to enhance regulatory reporting and internal monitoring.
Own and fulfill stakeholder data requests, translating complex data into actionable strategies.
Support automation and workflow improvement within compliance processes.
Key Requirements
5+ years
of professional experience in data analytics, preferably in
finance, compliance, or trading environments .
Bachelor’s degree or higher in
Engineering, Computer Science, Mathematics, Statistics , or related quantitative field.
Strong experience with data tools such as
SQL, Python, R .
Skilled with
data visualization platforms
(e.g., Tableau, PowerBI, Qlik).
Familiarity with
big data technologies : Hadoop, Spark, Presto, Hive, Redshift.
Excellent
analytical thinking, communication , and stakeholder management skills.
Strong understanding of
regulatory environments , risk modeling, or compliance analytics is a plus.
Nice to Have
Experience analyzing
financial or crypto trading data .
Background in developing
automated compliance or fraud detection systems .
Prior exposure to
AML, KYC, or regulatory reporting
processes.
Why Join Binance?
Be part of shaping the
future of finance and blockchain technology .
Collaborate with a
global, elite team
of innovators.
Work on meaningful,
high-impact projects
with fast execution.
Flexible
remote work setup
with global exposure.
Enjoy a
competitive salary and benefits
package.
Flat, empowering organizational structure that supports
autonomy and growth .
Ready to dive into a data-centric role at the intersection of blockchain and global compliance?
Apply now and make your mark at Binance.
Internal Audit Financial Crimes Compliance Senior Analyst
Staff Software Engineer, Backend - FinHub
Associate Liquidity Risk Manager – Prime Brokerage - United Kingdom
Staff Blockchain Security Architect - EMEA - United Kingdom
Senior Counsel, EU Regulatory Legal - United Kingdom
#J-18808-Ljbffr

We are seeking a highly skilled Chief Data Architecture Strategist to join our team. As a Senior Data Platform Solution Architect, you will play a crucial role in developing and maintaining Azure Data Architecture within a banking environment, ensuring compliance with data-related policies and standards.

Your primary responsibilities will include designing and implementing data solutions using Databricks, including data pipelines, ETL processes, and data lakes, while analyzing system integration challenges and collaborating with data engineers and IT teams to address technical issues and support infrastructure needs.

You will also be responsible for implementing data security and privacy protection measures, and developing strategies for data acquisition, archive recovery, and database implementation.

In addition, you will collaborate with data governance teams to ensure data solutions comply with banking regulations.

Lastly, you will monitor system performance, troubleshoot issues, and maintain up-to-date knowledge of the Azure platform, Databricks, and industry best practices.

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related discipline.
• Extensive experience with Azure services, including Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB, and Databricks.
• Proven expertise in designing and implementing solutions using Databricks, including Spark, Delta Lake, and MLflow.
• Proven experience in data architecture and management, preferably within a cloud environment.
• Banking experience or a strong understanding of banking regulations is preferred.

This role offers an opportunity to work with a cutting-edge technology stack and contribute to the development of innovative data solutions.

We are a leading organization in the field of data management and architecture, committed to delivering high-quality solutions to our clients.