195 Data Integrity jobs in Singapore

The ideal candidate will be responsible for providing quality oversight in computerized system life cycle procedure and ensuring compliance to GXP standards and company policies and procedures. As a Subject Matter Expert (SME) in CSV topics, you will provide guidance and support to establish systems for ensuring Data integrity, compliance to CSV Plan and 21CFR Part 11.

• Work with a cross-functional team to ensure Quality oversight in computerized system life cycle procedure and adherence to GXP standards and company policies and procedures.
• Act as one of the key focal points for CSV topics such as deviations, change management, investigations, CAPA identification and closure and as a Subject Matter Expert.
• Generate, review and execute protocols/test cases for initial validation programs related to GXP Computer systems.
• Review and approve qualification documentations like URS, SLIA/CLIA, SRA/DIRA/DSA, DQ, SIOQ, HIOQ, FAT/FATSR, Traceability Matrix etc.
• Ensure adherence to CSV master plans and execution plans for GXP computer systems like DCS, PLC, BMS, MES, eBR, Lab Information systems, Environmental monitoring systems and other Business IT systems like Maximo, Network and ERP systems that are part of the GMP envelope in a Biologics manufacturing facility.
• Perform any other tasks assigned by Line Manager.

• Minimum bachelor's degree or higher in Science or Engineering or equivalent with at least 3 years of relevant work experience.
• Minimum 1 year experience with Emerson DeltaV system – software coding review.
• Working experience and knowledge on CSV of start-ups and brownfield project experience in both Operation Technology / Information Technology system is a plus.
• Hands-on experience in Validation life cycle of computer systems is a must.
• Experience in Siemens PLC system is a plus.
• Good communication skills.
• Excellent team player willing to work for the common goal.
• Knowledge of pharmaceutical regulatory requirements (GMP) is essential.
• Shows a high level of tenacity to ensure closure of issues.
• Largely self-managed with ability to communicate upwards and cross functionally to ensure all key project milestones are met.

We are seeking a highly skilled HRIS & Operations Manager to lead our organization's APAC Team in implementing and managing HR Information Systems.

• Manage projects related to data integrity, HR technology, systems, processes, records and data management.
• Lead the implementation and daily operation of our HR Information System (HRIS) and collaborate across other business groups on HR technology needs and initiatives.

1. Develop and refine the HR technology strategy , staying updated on new solutions to recommend and prioritize implementations that meet current and future business needs.
2. Develop, manage, and monitor effective delivery of HR shared service operations and HRIS initiatives .
3. Lead HR technology initiatives , including managing budgets for implementation and maintenance of HR systems.
4. Supervise the administration and maintenance of human resource records and act as the gatekeeper of master data to maintain accuracy and consistency.
5. Provide training and support for HRIS users, internal partners (IT), and vendors to research, troubleshoot, and resolve issues.
6. Oversee all system upgrades and additions in partnership with the IT department .
7. Manage data security requirements and monitor processes to ensure adequate audits and controls are in place. Ensure process documentation is accurate and up-to-date.
8. Review processes and service levels to identify and implement enhancements for improved efficiency and service.
9. Create and manage report and HR dashboard requests as needed.
10. Design and maintain user-friendly HR processes, guidelines, and documentation .
11. Ensure all HR-related systems comply with data protection laws .
12. Provide technical support, troubleshooting, and guidance to HR teams .
13. Collaborate with executive leadership and HR leads to identify needed improvements and enhancements to existing information services and databases; recommend and implement solutions.
14. Manage permissions, access, personalization, and similar system operations and settings for HR users.
15. Serve as lead representative and liaison between HR, Information Services, external vendors, and other stakeholders for HR database design and implementation projects.

Requirements:

• Degree in Human Resources, Business Administration, Information Technology, or a related field; and at least 8 years of relevant experience.
• Extensive knowledge of HR Information Systems (HRIS) and familiarity with current HR technology trends.
• Project Management: Strong project management capabilities, including planning, execution, and monitoring of HR technology initiatives.
• Expertise in maintaining data integrity and security and managing HR data accuracy.
• Effective vendor management skills, including contract negotiations and performance optimization.
• Excellent collaboration skills with executive leadership, HR leads, IT department, and external vendors, combined with the ability to influence and advise HR peers and leaders.
• Able to work in a highly matrix environment.

HI,

Immediate hiring

Responsibilities:
• Develop and maintain automated test scripts using Tosca to ensure high-quality test coverage.
• Assist in the design and enhancement of the test automation framework.
• Proactively identify issues with test scripts or the Tosca environment and collaborate with the team to resolve them.
• Participate in reviews and continuous improvement processes within the test automation practice.
Technical Skills:
• Proficient in using Tosca Commander for test case design, execution, and maintenance.
• Understanding of various Tosca modules and their application in test scenarios.
• Basic knowledge of SQL for database interactions and testing.
• Ability to utilize best practices in defect tracking.
Requirements:
• Experience in test automation using Tosca.
• Knowledge of banking processes and requirements.
• Strong analytical and troubleshooting skills.

Regards

Kshama

+91

Join to apply for the AVP/VP, Compliance Testing - Data Validation role at OCBC .

Who We Are
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. We understand people deeply and provide tailored support, services, solutions, and career paths.

Today, we’re transforming by leveraging technology and creativity to become a future-ready learning organization. Our strategic goal remains to be Asia’s leading financial services partner for a sustainable future.

We invite you to help build the bank of the future, innovate in financial services delivery, work in supportive teams, and grow your career while making a lasting impact in your community.

At OCBC, we foster a data-driven culture. In this role, you will focus on data aggregation and reporting processes that support risk management and regulatory reporting. Your expertise will be vital in our compliance testing functions, covering areas such as financial crime, regulatory compliance, data management, and quality assurance.

Success requires a good understanding of data governance and management best practices. You will work with stakeholders to improve our data compliance processes, capabilities, and systems, ensuring data is leveraged as a strategic asset. Collaboration across teams and countries to analyze data flows, manage validation activities, and handle diverse stakeholders is essential.

• Perform validation on data aggregation and reporting capabilities, including scoping, process mapping, control evaluation, and testing.
• Maintain validation documentation and records.
• Track issues and oversee remediation plans.
• Stay updated with data governance and management best practices.

You will also contribute to the continuous improvement of our Data Validation methodology to align with Bank standards.

• Degree holder with 5-10 years’ experience in risk reporting, regulatory reporting, data management, or audit.
• Experience applying risk and control principles, with strong data analytical skills.
• Critical thinker capable of simplifying complex processes and identifying improvements.
• Knowledge of banking systems architecture and change management.
• Excellent communication skills for cross-functional collaboration.

Competitive salary, flexible benefits, community initiatives, and professional development opportunities. We prioritize your wellbeing, growth, and aspirations alongside customer needs.

• Seniority level: Executive
• Employment type: Full-time
• Job function: Administrative
• Industry: Banking

The role involves leading the implementation of data governance practices, focusing on critical data elements essential for regulatory reporting, risk assessment, financial disclosures, and KYC/AML compliance. The position includes accountability for governing data used in reports submitted to regulators such as MAS, BNM, APRA, BoT, and others.

This position requires a strong blend of domain expertise in Risk, Finance, Regulatory Reporting, and KYC/AML, combined with a solid technical foundation in data management, ETL processes, and governance platforms like Collibra.

Key Responsibilities

• Support teams in identifying and prioritizing key data elements (KDEs) critical to regulatory and risk reporting (e.g., MAS, BNM, BoT, APRA).
• Collaborate with regulatory reporting teams to harmonize data definitions and resolve ownership or consistency issues.
• Conduct data governance assessments on reports related to IFRS9, Basel III, Liquidity, Credit Risk, and KYC/AML.
• Guide the maintenance of data element traceability from source systems to reporting outputs using governance tools.
• Interpret regulatory requirements from MAS, BNM, APRA, BoT, BCBS 239, and translate them into actionable data governance operations.
• Work with compliance teams to ensure policies align and prepare for audits or inspections.
• Review and assist in remediation of data gaps or inconsistencies in regulatory reporting.
• Facilitate rollout of data governance frameworks, including ownership models, data quality standards, and KDE identification across APAC.
• Engage business, IT, and architecture stakeholders to implement effective governance for critical reporting workflows.
• Support metadata enrichment and key data element cataloging within Collibra for risk and finance datasets.
• Collaborate with tool specialists to manage lineage, ownership, and business definitions in governance platforms.
• Ensure alignment between metadata repositories and actual data usage for regulatory frameworks like Basel, IFRS 9, Liquidity, Large Exposure, etc.
• Act as liaison between business units (Risk, Finance, Compliance) and data governance/IT teams.
• Conduct training sessions and workshops for data stewards and report owners on KDE management, data ownership, and lineage.
• Drive resolution of data-related issues impacting reporting accuracy or regulatory compliance.

Qualifications & Experience

• Bachelor’s degree in Finance, Risk, Business Management, Data Management, or related fields.
• 2 to 7 years’ experience in regulatory reporting, finance, risk, or KYC/AML roles within banking or financial services.
• In-depth knowledge of regulatory frameworks such as BCBS 239, Basel II/III, IFRS 9, MAS, BNM, BoT, and APRA.
• Understanding of the full data flow from source systems through risk calculations to regulatory report submissions.
• Familiarity with data governance concepts and their operationalization, including data ownership, data quality, metadata management, and lineage.
• Experience using data governance platforms such as Collibra is preferred; working knowledge of data management systems, ETL processes, or regulatory reporting tools (e.g., Vermeg, Moody’s, SAS) is advantageous.
• Strong stakeholder management skills to foster collaboration between business and IT teams.
• Excellent documentation and communication skills to define and maintain business metadata and reporting governance.
• Exposure to regulatory audits, remediation efforts, or data governance projects is a plus.
• Relevant certifications such as CDMP, Collibra, or CIMP will be beneficial.

The role involves leading the implementation of data governance practices, focusing on critical data elements essential for regulatory reporting, risk assessment, financial disclosures, and KYC/AML compliance. The position includes accountability for governing data used in reports submitted to regulators such as MAS, BNM, APRA, BoT, and others.

This position requires a strong blend of domain expertise in Risk, Finance, Regulatory Reporting, and KYC/AML, combined with a solid technical foundation in data management, ETL processes, and governance platforms like Collibra.

Key Responsibilities

• Support teams in identifying and prioritizing key data elements (KDEs) critical to regulatory and risk reporting (e.g., MAS, BNM, BoT, APRA).
• Collaborate with regulatory reporting teams to harmonize data definitions and resolve ownership or consistency issues.
• Conduct data governance assessments on reports related to IFRS9, Basel III, Liquidity, Credit Risk, and KYC/AML.
• Guide the maintenance of data element traceability from source systems to reporting outputs using governance tools.
• Interpret regulatory requirements from MAS, BNM, APRA, BoT, BCBS 239, and translate them into actionable data governance operations.
• Work with compliance teams to ensure policies align and prepare for audits or inspections.
• Review and assist in remediation of data gaps or inconsistencies in regulatory reporting.
• Facilitate rollout of data governance frameworks, including ownership models, data quality standards, and KDE identification across APAC.
• Engage business, IT, and architecture stakeholders to implement effective governance for critical reporting workflows.
• Support metadata enrichment and key data element cataloging within Collibra for risk and finance datasets.
• Collaborate with tool specialists to manage lineage, ownership, and business definitions in governance platforms.
• Ensure alignment between metadata repositories and actual data usage for regulatory frameworks like Basel, IFRS 9, Liquidity, Large Exposure, etc.
• Act as liaison between business units (Risk, Finance, Compliance) and data governance/IT teams.
• Conduct training sessions and workshops for data stewards and report owners on KDE management, data ownership, and lineage.
• Drive resolution of data-related issues impacting reporting accuracy or regulatory compliance.

Qualifications & Experience

• Bachelor’s degree in Finance, Risk, Business Management, Data Management, or related fields.
• 2 to 7 years’ experience in regulatory reporting, finance, risk, or KYC/AML roles within banking or financial services.
• In-depth knowledge of regulatory frameworks such as BCBS 239, Basel II/III, IFRS 9, MAS, BNM, BoT, and APRA.
• Understanding of the full data flow from source systems through risk calculations to regulatory report submissions.
• Familiarity with data governance concepts and their operationalization, including data ownership, data quality, metadata management, and lineage.
• Experience using data governance platforms such as Collibra is preferred; working knowledge of data management systems, ETL processes, or regulatory reporting tools (e.g., Vermeg, Moody’s, SAS) is advantageous.
• Strong stakeholder management skills to foster collaboration between business and IT teams.
• Excellent documentation and communication skills to define and maintain business metadata and reporting governance.
• Exposure to regulatory audits, remediation efforts, or data governance projects is a plus.
• Relevant certifications such as CDMP, Collibra, or CIMP will be beneficial.

Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We’re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.

The Data Management Lab (DML) sits within the Data organization, supporting Data’s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products “ready-to-use” by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.

As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of Asia-Pacific Quality Methods & Insights team under DML that includes Data Quality, Business Intelligence and Process Engineering, serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves partnering with Data Product and Engineering teams to conduct analysis of operational and product data that is characterized by high volume and variety, generated by a variety of sources in a complex production environment. Specifically, you will leverage your analytical expertise to support the development and adoption of methods that will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.

We’ll trust you to:

• Lead global initiatives within the realms of data quality, operational efficiency and data management
• Design and run analyses to uncover root causes for data quality issues and make recommendations using techniques in the areas of Bayesian analysis, machine learning, and causal inference
• Formulate and execute optimization analysis to balance trade-offs such as performance, quality and resource usage across data pipelines
• Bring exposure to Operations Research methods such as Linear programming, Queuing theory, and Monte Carlo Simulations
• Bring a basic understanding of data engineering workflows including how data pipelines are orchestrated and various components within the ETL framework
• Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
• Collaborate with data stakeholders and engineering partners to translate high-impact questions into scalable data science solutions
• Build statistical and analytical capabilities within the team and mentor others

You’ll need to have:

• A Bachelor's degree or higher in Data Science, Economics, Statistics or a relevant STEM field, or equivalent professional work experience
• 1-2 years' experience designing data engineering pipelines
• Proficiency in Python (e.g. PySpark, Pandas, NumPy or Pymc) and SQL
• 3-5 years of experience working in a data quality, data governance, or data management role
• 3-5 years' experience designing research studies using predictive modelling, causal analysis and/or Operations Research methods
• Familiarity with modern data tech stack tools such as dbt, Iceberg, Trino, Airflow, Superset, etc.
• Familiarity with version control systems (e.g., Git) and a collaborative development workflow environment (e.g., GitHub, GitLab)
• Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skill in English

We'd love to see:

• Experience in Data Management Association (DAMA) and Data Management Capability Assessment Model (DCAM)
• Knowledge of financial markets and Bloomberg products is a plus

Job Details

Location : Caldecott

Contract Duration : 1 year

Monday - Friday, hybrid (3 days office 2 days wfh)

Data Management:

- Engage with data stewards to implement Data Quality Implementation Strategy

- Identify and report data quality issues, propose solutions

- Plan and implement strategies to improve data quality

- Streamlining of work processes:

- Consolidate and update FAQs

- Analyze mailbox query trends, propose solutions

- Administrative and Logistical Support:

- Develop and maintain training materials and user guides

- Coordinate logistics for training and change management

- Provide admin and technical support for onboarding new users

Requirements:

- Singaporean

- Proficient in data visualization and data analytics

- Strong project management skills

- Detail-oriented and meticulous

- Positive attitude towards learning

- Ability to work independently and as part of a team

If interested, Whatsapp Jody at 9657 3200 ( ) directly.

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Responsibilities

• Assist in the updating, extracting and uploading of database for marketing purposes;
• Perform data de-duplication, manipulation, cleansing, extraction, mapping/matching;
• Perform queries and list pulls for marketing campaigns;
• Monitor and perform updating, deduping, clean-up, extracting and uploading of database;
• Report on campaigns performance, effectiveness, and growth;
• Produce quantitative reports/presentations and communicate on findings, highlight any inconsistencies / issues;
• Work with business and IT resources regarding database issues and technical questions;
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities and qualifications may be required and/or assigned as necessary.

Requirements:

• Minimum 1-2 years of relevant database / reporting experience;
• Minimum Diploma in a relevant field;
• Highly proficient with Microsoft Excel (E.g.: Pivot Tables, Macros, etc);
• Understanding of database structure;
• Basic programming skills will be an advantage;
• Able to work in a deadline driven environment with the ability to meet aggressive deadlines;
• Able to handle multiple campaigns assigned;
• Observes attention-to-detail, meticulous and organized; and
• Fluent in both spoken and written English.

We regret that only shortlisted candidates will be notified.