115 Data Governance jobs in Singapore

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Job Description & Requirements

We are seeking an experienced professional with a strong background in banking data management and governance to lead and support data governance, data quality, and regulatory compliance initiatives. The ideal candidate will have hands-on experience with regulatory frameworks, data quality methodologies, metadata management, and data governance tools such as Collibra and Alteryx. This role requires excellent communication, documentation, and analytical skills to translate business needs into effective data governance solutions.

Key Responsibilities:

• Lead and support data governance operations, including policy development, implementation, and compliance monitoring across multiple regions.
• Design, implement, and manage data quality rules and controls for regulatory reports covering risk, finance, and compliance domains.
• Manage data governance frameworks, including key data element (KDE) documentation, ownership mapping, and metadata tracking.
• Support data lineage and metadata management initiatives, ensuring standardization and integration across systems.
• Implement and maintain data governance and data quality tools such as Collibra and Alteryx, including workflow automation and platform configuration.
• Drive regulatory reporting automation projects to improve efficiency and accuracy using Alteryx and data mart pipelines.
• Collaborate with business stakeholders, data stewards, and technical teams to align data governance practices with regulatory requirements and business objectives.
• Provide regular project updates, dashboards, and issue follow-ups to ensure governance initiatives meet timelines and quality standards.

Required Experience and Skills:

Banking and Regulatory Compliance:

• Experience in banking data management and governance.
• Familiarity with regulatory compliance frameworks such as MAS Data Governance, BCBS 239, and APAC Data Governance Framework.
• Proven track record in operationalizing data governance frameworks and regulatory reporting automation.

Data Quality and Controls:

• Expertise in data quality rule design, monitoring, and KDE methodology implementation.
• Experience managing data quality workflows and operational metrics using tools like Collibra and Alteryx.

Metadata and Data Lineage:

• Experience with metadata management, data lineage implementation, and enterprise data dictionary rollouts.
• Ability to manage metadata lifecycle, glossary governance, and lineage visualization.

Data Governance Tools:

• Proficient in Collibra platform configuration, workflow development, and API integration.
• Skilled in designing Alteryx workflows for data profiling, validation, and automation of regulatory reports.

Preferred Qualifications:

• 8-10 years of data management experience
• Experience in multiple areas listed above is highly advantageous.
• Background as a Data Quality Specialist/Manager, Data Governance Analyst/Manager, Business Analyst (Functional SME), or Developer specializing in Collibra and Alteryx.
• Knowledge of regulatory reporting data marts and automation pipelines.
• Strong logical thinking and documentation skills.
• Ability to translate complex business requirements into data governance and quality specifications.
• Effective coordination with cross-functional teams and stakeholders.

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting and Banking

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We are seeking an experienced professional with a strong background in banking data management and governance to lead and support data governance, data quality, and regulatory compliance initiatives. The ideal candidate will have hands-on experience with regulatory frameworks, data quality methodologies, metadata management, and data governance tools such as Collibra and Alteryx. This role requires excellent communication, documentation, and analytical skills to translate business needs into effective data governance solutions.

Key Responsibilities:

• Lead and support data governance operations, including policy development, implementation, and compliance monitoring across multiple regions.
• Design, implement, and manage data quality rules and controls for regulatory reports covering risk, finance, and compliance domains.
• Manage data governance frameworks, including key data element (KDE) documentation, ownership mapping, and metadata tracking.
• Support data lineage and metadata management initiatives, ensuring standardization and integration across systems.
• Implement and maintain data governance and data quality tools such as Collibra and Alteryx, including workflow automation and platform configuration.
• Drive regulatory reporting automation projects to improve efficiency and accuracy using Alteryx and data mart pipelines.
• Collaborate with business stakeholders, data stewards, and technical teams to align data governance practices with regulatory requirements and business objectives.
• Provide regular project updates, dashboards, and issue follow-ups to ensure governance initiatives meet timelines and quality standards.

Required Experience and Skills:

Banking and Regulatory Compliance:

• Experience in banking data management and governance.
• Familiarity with regulatory compliance frameworks such as MAS Data Governance, BCBS 239, and APAC Data Governance Framework.
• Proven track record in operationalizing data governance frameworks and regulatory reporting automation.

Data Quality and Controls:

• Expertise in data quality rule design, monitoring, and KDE methodology implementation.
• Experience managing data quality workflows and operational metrics using tools like Collibra and Alteryx.

Metadata and Data Lineage:

• Experience with metadata management, data lineage implementation, and enterprise data dictionary rollouts.
• Ability to manage metadata lifecycle, glossary governance, and lineage visualization.

Data Governance Tools:

• Proficient in Collibra platform configuration, workflow development, and API integration.
• Skilled in designing Alteryx workflows for data profiling, validation, and automation of regulatory reports.

Preferred Qualifications:

• 8-10 years of data management experience
• Experience in multiple areas listed above is highly advantageous.
• Background as a Data Quality Specialist/Manager, Data Governance Analyst/Manager, Business Analyst (Functional SME), or Developer specializing in Collibra and Alteryx.
• Knowledge of regulatory reporting data marts and automation pipelines.
• Strong logical thinking and documentation skills.
• Ability to translate complex business requirements into data governance and quality specifications.
• Effective coordination with cross-functional teams and stakeholders.

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Location:

Singapore (City Area), SG, 048624

Company: United Overseas Bank Ltd

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

The Data Management Office is a centralized function dedicated to driving data democratization through high-quality, credible data and effective management of our data architecture and tools. It governs data usage, provides guidance, optimizes data value for smarter decision-making and improved operational efficiency, and ensures compliance with regulatory data governance standards.

The role will support AI (including Gen AI) as well as data governance activities across the organisation. This role will play an important part in establishing and maintaining a robust governance framework for the development, deployment, and monitoring of AI models as well as operationalisation of data governance across the Bank. The role requires a good conceptual and technical understanding of AI (and Gen AI) technologies, regulatory requirements, data and AI risks such as explainability, data quality, fairness, privacy, security, accountability, transparency, ethics, as well as Gen AI risks such as hallucinations, toxicity, discrimination, etc.

Your main responsibilities are to:

• Actively contribute to conceptualising, driving and implementing bank-wide AI (and Gen AI) governance strategy, AI and data governance framework, policy, related standards, procedures and guardrails, in line with the Bank’s business, data and AI objectives as well as evolving industry practices
• Collaborate with cross-functional teams, including data scientists, data engineers, technology, risk, legal and compliance, to integrate AI (and Gen AI) and data governance practices into the bank's ecosystem
• Actively contribute to the development of AI and data risk management strategies, such as identification of potential risks and implementation of mitigation measures and guardrails
• Support periodic reporting and updates on AI and data Governance activities to the relevant AI and data governance taskforce and other stakeholders
• Understand the relevant end-to-end data landscape, including systems, business processes and data flows to support data governance reviews and assessments; co-ordinate in the development and enhancement of supporting documentation
• Stay abreast of emerging AI and data regulations, industry best practices, and technological advancements to continuously improve the bank's AI and data governance strategy, framework and operationalisations
• Be an agent of change and inculcate AI and data governance culture and discipline across the Bank’s key AI and data processes. Provide guidance and training to stakeholders on AI (and Gen AI) and data governance principles and practices

• Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• Good experience in AI governance, data governance, or a related field, with at least 7-10 years of working experience in the banking industry or equivalent, or consulting/auditing experience with strong exposure to Financial Services
• A good understanding of AI technology and applications, especially Gen AI, including practical experience building or evaluating AI models, with a strong interest in risk mitigation, safety, and governance of Gen AI systems.
• Support a dynamic, collaborative and fast-evolving team environment
• Passion for governing Generative AI technology particularly in the context of a scaled bank.
• Experience building Agentic AI, LLM, RAG systems with vector databases and understanding their risks and practical governance implications.
• Exposure to policy-planning, AI ethics, bias mitigations, privacy, and related financial services regulations
• Good understanding of AI technologies and machine learning algorithms with experience in testing AI models and technologies (e.g. red teaming)
• Good influencing and persuasion skills, and ability to obtain consensus across diverse stakeholder groups
• Comfortable with handling ambiguous situations and navigating conflicts with ease
• Good project management, interpersonal and collaboration skills, with the ability to engage different stakeholders across the Bank

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Posting Date: 20 Apr 2025

Location: Singapore (City Area), SG, 048624

Company: United Overseas Bank Ltd

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success.

The Data Management Office is a centralized function dedicated to driving data democratization through high-quality, credible data and effective management of our data architecture and tools. It governs data usage, provides guidance, optimizes data value for smarter decision-making and improved operational efficiency, and ensures compliance with regulatory data governance standards.

The role will support AI (including Gen AI) as well as data governance activities across the organisation. This role will play an important part in establishing and maintaining a robust governance framework for the development, deployment, and monitoring of AI models as well as operationalisation of data governance across the Bank. The role requires a good conceptual and technical understanding of AI (and Gen AI) technologies, regulatory requirements, data and AI risks such as explainability, data quality, fairness, privacy, security, accountability, transparency, ethics, as well as Gen AI risks such as hallucinations, toxicity, discrimination, etc. Your main responsibilities are to:

• Actively contribute to conceptualising, driving and implementing bank-wide AI (and Gen AI) governance strategy, AI and data governance framework, policy, related standards, procedures and guardrails, in line with the Bank’s business, data and AI objectives as well as evolving industry practices.
• Collaborate with cross-functional teams, including data scientists, data engineers, technology, risk, legal and compliance, to integrate AI (and Gen AI) and data governance practices into the bank's ecosystem.
• Actively contribute to the development of AI and data risk management strategies, such as identification of potential risks and implementation of mitigation measures and guardrails.
• Support periodic reporting and updates on AI and data Governance activities to the relevant AI and data governance taskforce and other stakeholders.
• Understand the relevant end-to-end data landscape, including systems, business processes and data flows to support data governance reviews and assessments; co-ordinate in the development and enhancement of supporting documentation.
• Stay abreast of emerging AI and data regulations, industry best practices, and technological advancements to continuously improve the bank's AI and data governance strategy, framework and operationalisations.
• Be an agent of change and inculcate AI and data governance culture and discipline across the Bank’s key AI and data processes. Provide guidance and training to stakeholders on AI (and Gen AI) and data governance principles and practices.

• Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Good experience in AI governance, data governance, or a related field, with at least 7-10 years of working experience in the banking industry or equivalent, or consulting/auditing experience with strong exposure to Financial Services.
• Exposure to policy-planning, AI ethics, bias mitigations, privacy, and related financial services regulations.
• Good understanding of AI technologies and machine learning algorithms with experience in testing AI models and technologies (e.g. red teaming).
• Good influencing and persuasion skills, and ability to obtain consensus across diverse stakeholder groups.
• Comfortable with handling ambiguous situations and navigating conflicts with ease.
• Good project management, interpersonal and collaboration skills, with the ability to engage different stakeholders across the Bank.

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications.

COMPANY DESCRIPTION

About NTUC Health Co-operative Limited

NTUC Health Co-operative Limited (NTUC Health) is an NTUC enterprise that provides a comprehensive and integrated suite of quality and affordable health and eldercare services to meet the growing needs of families and their dependents. Building on close to three decades of experience and expertise, NTUC Health is among the largest providers of active ageing, senior day care, nursing home, and home personal care services in Singapore. We also serve vulnerable seniors in selected areas in Singapore through Community Case Management Services (CCMS), CREST mental health support, and a sheltered senior group home. In addition, we run a family medicine clinic.

Our purpose is to achieve ‘health for life'; enabling healthy and fulfilling years by being a trusted partner of seniors and their families in our community.

For more information, please visit or follow us on Facebook, Instagram, and LinkedIn.

Services: Senior Day Care | Home Care | Nursing Home | Active Ageing and Senior Fitness | Rehabilitation and Physiotherapy | Family Medicine

Community Support: CCMS (Community Case Management Services) | CREST (Community Resource, Engagement and Support Team) | Henderson Home

RESPONSIBILITIES

We are seeking a highly motivated and detail-oriented Risk Management and Data Protection Intern to join our team. This role offers a unique opportunity to gain hands-on experience across critical areas, including Business Continuity Management, Incident Management & Insurance Claims, Data Governance & PDPA, and Enterprise Risk Management. The intern will provide essential support to various initiatives, contributing to the organisation's resilience, compliance, and responsible data stewardship.

Risk Management:

• Support the preparation of risk assessment reports and presentation materials.
• Assist in documenting incident reports and maintaining accurate incident logs.
• Support the compilation of information required for insurance claims.
• Help track the status of incident resolution and claims progression.
• Support in system enhancement for incident reporting portal (ServiceNow)
• Assist in the review and update of Business Continuity Plans (BCPs) and Business Impact Analysis (BIA) documentation.
• Support the coordination and logistics for BCP exercises and training sessions for BC Coordinators.
• Help compile and organise BCM-related data and reports.

Data Governance:

• Support the development of data inventory maps and data flow documentation.
• Support the update of Data Governance-related policies.
• Assist in preparing materials for the Data Governance Committee meetings.
• Contribute to the preparation of PDPA awareness materials, such as the annual quiz and relevant case studies (non-compliance due to people, process, and third-party breaches).
• Support for system enhancement for data breach incidents on the incident reporting portal.

Learning Opportunities:

• Gain practical exposure to a wide range of risk, compliance, and data protection functions within a healthcare setting.
• Develop a foundational understanding of key regulatory frameworks (PDPA, HIB, etc.) and industry best practices.
• Enhance analytical, research, organisational, and communication skills.
• Work closely with experienced professionals and contribute to impactful organisational initiatives.

You are:

• Currently pursuing a Bachelor's degree in Accountancy, Business Administration, Information Technology, Data Science, Risk Management, or a related field.
• Good academic performance.
• Demonstrated interest in risk management, compliance, data protection, or incident management.
• Excellent research, analytical, and problem-solving skills.
• Proficiency in Google Workspace (Docs, Sheets, Slides).
• Good written and verbal communication skills.
• Proactive, detail-oriented, organised, and eager to learn in a fast-paced environment.
• Able to work with little supervision and as a team.

ICBC Standard Bank Plc (ICBCS) is 60% owned by Industrial and Commercial Bank of China and 40% by Standard Bank. ICBCS benefits from a unique Chinese and African parentage and an unrivalled global network and level of expertise.

ICBCS is a leading financial markets and commodities bank, driven to deliver the right outcomes for our stakeholders, clients, counterparties and the markets in which we operate. We deliver products in an environment which considers the appropriate needs of our clients, whilst providing guidance and expertise to ensure our employees understand our business and uphold the highest levels of conduct.

Headquartered in London, ICBCS also has operations in Shanghai, Singapore and New York.

At ICBC Standard Bank, we share the same values, challenges and opportunities. We are a diverse, close-knit, global team with a unique heritage and purpose. We put people first, and give talented, self-driven professionals the flexibility, rewards and freedom to grow their expertise, seek new opportunities and realise their potential.

Job Purpose:

The Head of Risk Data Governance will lead the strategic oversight and operational execution of data governance across all risk domains, with a primary focus on the integrity, quality, and governance of market data used by Market Risk, Credit Risk, and Product Control. This role is pivotal in ensuring that risk-related data is accurate, consistent, and compliant with internal policies and external regulatory requirements.

As the global lead for risk data governance, the role will define and implement data quality standards, governance frameworks, and oversight mechanisms in close collaboration with global and regional stakeholders.

Simultaneously, the role will retain oversight of the accuracy, timeliness, and control of risk reporting in Asia, supporting both global market risk reporting & control initiatives and region-specific credit risk reporting requirements. There is a strong emphasis on delivering insightful, value-added analysis that supports strategic decision-making by senior management.

Based in Singapore, the Head will work closely with global stakeholders and will be expected to travel frequently to London to engage with senior leadership and governance forums. The role requires strong leadership, cross-functional collaboration, and a deep understanding of risk data management in a regulated financial environment.

Key Responsibilities:

Risk Data Governance

• Oversee the governance and quality assurance of market data used in risk models and IPV processes.
• Define and enforce data standards, controls, and validation processes across the Risk department (with an initial focus on market & credit risk).
• Lead the development and implementation of a comprehensive risk data governance strategy.
• Chair the Risk Data Governance Forum, ensuring effective decision-making, escalation, and accountability for data issues.
• Oversee and enhance production of management information (MI) on data intergrity and the use of proxies in risk calculations, ensuring transparency and control.
• Collaborate with the Risk Change team to assess and manage the impact of change initiatives and projects on market data governance and quality.
• Ensure the integrity and consistency of desk and business hierarchies used in risk reporting, supporting accurate aggregation and analysis across the risk landscape.

Regulatory Compliance

• Ensure compliance with regulatory requirements related to risk data.
• Support regulatory reporting and audit processes by providing transparent and traceable data governance documentation.
• Stakeholder Engagement
• Act as the primary liaison between Risk, Finance, Technology, and CMU teams to align data governance objectives.
• Liaise directly with senior management, most notably the Chief Risk Officer (CRO) and Chief Financial Officer (CFO), on matters related to risk data integrity and governance.
• Communicate data governance priorities and progress to senior management and governance committees.

Data Governance Tools & Technology

• Evaluate and implement data governance tools and platforms to support automation, monitoring, and reporting.
• Promote the adoption of best practices in data management and governance across the risk function.

Risk reporting & control

• Oversee & manage the production and review of market risk reports by the Singapore team, with a strong emphasis on delivering insightful, value-added analysis that supports strategic decision-making by senior management
• Oversee & manage the production and review of credit risk reports for the Singapore region, delivering strategic insights and ensuring timely, accurate reporting to senior stakeholders.
• Identify, escalate, and remediate control gaps or process inefficiencies, driving continuous improvement across reporting and risk processes.
• Provide coverage for the local market risk management team during absences, ensuring continuity of oversight and operational effectiveness.
• Oversight responsibility for the timely preparation and submission of monthly ‘CERF’ Committee pack (Commodities Exposure Review Forum)

Team Leadership

• Lead a high-performing team of data governance professionals.
• Develop the business skillset and domain expertise of the three direct reports, fostering a culture of continuous learning and professional growth.
• Foster a culture of data ownership, quality, and continuous improvement.

Required Skills, Knowledge, Experience and Values:

• CFA and / or Bachelor's degree in Finance, Economics, Data Science, or a related field.
• Minimum of 5 years experience in market data management within a financial institution, preferably in a risk management context.
• Strong understanding of market data concepts, with specific focus on interest rates, FX, credit spreads and commodities.
• Knowledge of market data systems and data validation exception management tools.
• Experience with Murex is highly advantageous.
• Proven leadership skills with experience managing a small team.
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills.
• Ability to work under pressure and manage multiple priorities
• Experience working on or with change projects

Values and Behaviours:

• Global and flexible mindset
• Client mindset, doing business in the right way
• Pays attention to detail
• Results-orientated
• High level of integrity
• Able to navigate complexity
• Can work in ambiguity
• Resilience
• Open and inclusive
• Able to balance risk and reward
• Accountable
• Drive to improve and simplify
• Delivers quality

We are seeking a detail-oriented Manager (Data Governance Operations), to join Workforce Singapore’s Data Strategy and Analytics Division. You will support the implementation of WSG's data governance policies, monitor data quality, in compliance with prevailing regulations. You will also manage administrative tasks to ensure the smooth functioning of DSAD's initiatives.

• Assist in the implementation of data governance frameworks, policies, and procedures to ensure data quality and compliance with prevailing regulations. Maintain good documentation of frameworks, policies, and procedures for knowledge management.
• Monitor data quality metrics, identify anomalies, and coordinate with relevant teams to address data incidents promptly.
• Support data classification and access control policies, ensuring appropriate data handling and protection measures are in place.
• Assist data requestors and data owners in adhering to prevailing standards when utilizing of Whole-of-Government (WOG) data sharing platforms.
• Perform secretariate duties for DSAD meetings, including scheduling, preparing documentation, and tracking action items.
• Manage logistical needs for DSAD engagements, including booking venues, tracking attendance, and preparing materials.
• Perform other administrative tasks within the Division, including budget tracking and procurement processes, and work with division staff to improve on our internal processes
• Collaborate with internal stakeholders to promote data literacy and stewardship across the organization, fostering a culture that values data as a strategic asset.

Requirements

Knowledge and Skills:

• Basic understanding of data governance principles, data management, and data protection regulations, including familiarity with the Instruction Manual 8 (IM8).
• Experience in administrative support, including meeting coordination, documentation, and event logistics.
• Proficiency in Microsoft Office applications, particularly Excel, Word, and PowerPoint.
• Strong organizational skills with the ability to manage multiple tasks and deadlines effectively.

Aptitudes and Abilities:

• Detail-oriented, with a commitment to maintaining high standards of data integrity and administrative accuracy.
• Collaborative mindset, with a genuine interest in fostering a strong data culture within the organization.
• Proactive and self-motivated, with the ability to work independently and support cross-functional initiatives.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

Why Join Us:

• Contribute to Data Excellence – play a pivotal role in supporting data governance initiatives that ensure data integrity, security, and compliance across WSG.
• Drive Innovation in Data Management – work alongside dedicated professionals committed to fostering a data-driven culture.
• Advance Your Career – access opportunities for learning and development in the data domain to enhance your skills and advance your career in the public sector.

Company description:

The National Healthcare Group (NHG) is a leader in public healthcare in Singapore, recognised at home and abroad for the quality of its medical expertise and facilities. Care is provided through an integrated network of seven primary care polyclinics, acute care and tertiary hospitals, national specialty centres and business divisions. Together they bring a rich legacy of medical expertise to our philosophy of integrated patient-centred care.

NHG's vision is "Adding Years of Healthy Life". This vision goes beyond merely healing the sick to the more difficult and infinitely more rewarding task of preventing illness and preserving health and quality of life. With some 22,000 staff, NHG aims to provide care that is patient-centric, accessible, seamless, comprehensive, appropriate and cost-effective.

As the Regional Health System (RHS) for Central-North Singapore, it is vital for NHG to partner and collaborate with stakeholders, community advisors, and voluntary welfare organisations. Together with our patients, their families and caregivers, we aim to deliver integrated healthcare services and programmes that help in Adding Years of Healthy Life to all concerned.

Assistant Director

Position Overview

We are seeking an experienced professional to oversee the day-to-day administrative operations of the Cluster Data Exchange Office (DXO) and Chief Data Office (CDO). This role involves managing data governance, facilitating data sharing, and ensuring compliance with healthcare data policies.

Key Responsibilities

Data Governance and Management (45%)

• Lead data request evaluations and governance processes in alignment with MOH Health Instruction Manual (HIM) guidelines
• Manage and review data requests within established timeframes while maintaining strict data security protocols
• Serve as Trusted Third Party for de-identification and anonymisation processes
• Develop and mentor reporting staff through training and development initiatives

Strategic Data Operations (45%)

• Oversee cluster-wide data management and sharing initiatives across the public healthcare sector
• Manage NHG's data assets throughout the 4-stage data lifecycle (Acquisition, Fusion, Access & Distribution, Exploitation)
• Collaborate with institutional stakeholders (CHRO, GCHRO, GCIO, GDPO, GCISO) to enhance data capabilities
• Resolve intra- and inter-cluster data disputes
• Provide strategic input to CDO council and Senior Management meetings

Additional Responsibilities (10%)

• Execute special projects and initiatives as directed by DXO or CDO offices
• Support continuous improvement of data management processes

Qualifications and Experience

• Healthcare professional with strong interest in informatics and governance
• Tertiary degree in information management or related field (preferred)
• Preferably with 10-15 years relevant healthcare experience, with focus on clinical or healthcare informatics/governance
• Demonstrated experience in data protection and privacy compliance

Required Skills and Attributes

• Outstanding organisational and people management capabilities
• Strong attention to detail and excellent communication skills
• Proven ability to work independently and lead complex projects
• Capacity to manage multiple priorities simultaneously
• Effective team leadership and collaboration skills

Performance Metrics

• 95% of data requests to be completed within three weeks or agreed timeframes
• Zero instances of data loss or breach
• Successful implementation of data governance policies and standards
• Effective stakeholder management and dispute resolution

Join to apply for the Vice President, Model/Data Governance (Risk) role at SMBC Group .

• Maintain model governance policies and procedures to ensure compliance with industry standards and regulations.
• Maintain a comprehensive inventory of all models used within the APAC region.
• Ensure that the model lifecycle is implemented for all in-scope models.
• Facilitate communication between various departments regarding model usage and governance issues.

• Maintain model governance policies and procedures to ensure compliance with industry standards and regulations.
• Maintain a comprehensive inventory of all models used within the APAC region.
• Ensure that the model lifecycle is implemented for all in-scope models.
• Facilitate communication between various departments regarding model usage and governance issues.
• Conduct model validation for in-scope models.

• Oversee data management processes to maintain data integrity, security, and availability.
• Collaborate with cross-functional teams including IT to establish data standards and best practices across the APAC region.
• Monitor and report on data governance metrics and compliance adherence.
• Manage metadata repositories and data catalogs using technical knowledge of data flows.
• Conduct regular audits to ensure data accuracy and consistency.

• Degree or equivalent with experience in Financial Institutions in Data Governance, Model Governance, and BCBS 239.
• Good project management, communication, and interpersonal skills.
• Team player with a strong sense of ownership of outcomes.
• Meticulous with an eye for detail.
• Fluent in written and spoken English.
• Able to work under tight deadlines on multiple projects.
• Experience in Model Validation is a plus.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industry: Banking

This job posting is active. Referrals can increase your chances of interviewing at SMBC Group.