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Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Objective

Support the establishment of data standards, address data quality challenges, and oversee remediation initiatives. Work collaboratively with various teams to improve data management practices, ensure regulatory compliance, and implement automation to enhance efficiency.

Primary Responsibilities

• Develop and uphold the organization's data governance structure, ensuring adherence to data quality standards.
• Track and manage data quality indicators, metrics, and dashboards to demonstrate compliance with governance policies.
• Maintain documentation of data lineage to monitor data flows throughout the organization.
• Create and oversee a detailed data glossary to ensure uniform terminology across the organization.
• Use data governance tools to catalog data assets and uphold governance policies.
• Perform regular evaluations of data quality and implement corrective actions as necessary.
• Generate periodic reports on data governance efforts for management review.
• Collaborate with cross-functional teams to identify data requirements and design solutions that align with the organization's goals.
• Gain insights into the complete data lifecycle and controls, helping to pinpoint data dependencies for delivery and change management.

Qualifications and Experience

• Fundamental understanding of data governance concepts, including data quality, lineage, roles, and documentation.
• Proven experience in designing and managing dashboards for monitoring compliance.
• Familiarity with data governance software or similar tools.
• Experience collaborating with diverse teams to gather requirements and convert them into actionable plans.
• Problem-solving abilities with a track record of identifying and resolving data quality issues.
• Knowledge of automation processes that enhance data management efficiency.
• Understanding of current and emerging data protection regulations and their practical application.
• Strong organizational skills for coordinating complex projects and issue resolutions.
• Detail-oriented, ensuring accurate documentation of data structures and sources.
• Willingness to learn new tools and best practices for continuous improvement.
• Strong communication skills to convey technical concepts clearly to both technical and non-technical audiences.
• Experience in a professional services or legal setting is preferred.

About the Role

We are seeking a hands-on Data Governance Officer to join a global professional services organisation building a new data governance function from the ground up. You will work closely with a small, collaborative APAC team and the broader global team across Europe and the US to enhance data quality, standardisation, and compliance across the organisation.

Key Responsibilities

• Implement and maintain the organisation's data governance framework, ensuring data quality and consistency across datasets.
• Develop and maintain data dictionaries, glossaries, and lineage documentation to track data flows and maintain consistent terminology.
• Conduct data quality assessments, identify issues, and coordinate remediation plans.
• Build and maintain dashboards and KPIs to monitor compliance with governance standards.
• Leverage Microsoft Purview (or similar tools like Collibra) to catalogue data assets and enforce governance policies.
• Collaborate with cross-functional teams to understand data requirements and translate them into actionable solutions.
• Support the end-to-end data lifecycle, identifying dependencies to improve delivery, change management, and operational efficiency.
• Produce regular reports for management summarising governance activities and outcomes.

Experience & Skills Required

• Foundational knowledge of data governance principles, including data quality, data lineage, roles/responsibilities, and documentation.
• Experience designing and maintaining dashboards or metrics for governance compliance.
• Hands-on experience with Microsoft Purview, Collibra, or other data governance tools.
• Proven ability to work with cross-functional teams, gather requirements, and implement practical solutions.
• Strong problem-solving skills, with experience identifying, escalating, and resolving data quality issues.
• Familiarity with automation tools or processes to improve data management efficiency.
• Awareness of data protection regulations and the ability to apply them practically.
• Exceptional organisational skills and attention to detail for maintaining accurate documentation.
• Adaptable, willing to learn new tools, technologies, and best practices.
• Excellent communication skills, capable of working with both technical and non-technical stakeholders.
• Experience in a professional services or legal environment is desirable.
• Fluency in English is required; Traditional and Simplified Chinese is a must.

If this outstanding opportunity sounds like your next career move, please submit your resume in Word format via the Quick Apply Button.

PRINCIPAL ACCOUNTABILITIES:

· Develop, implement, and maintain data security policies and procedures to protect sensitive and classified information according to regulatory requirements and Head Office (Mainland) standard / framework.

· Conduct data classification and implement relevant control to mitigate data security risk

· Prepare risk assessments and vulnerability analyses to identify potential threats to data security

· Collaborate with IT, business and other stakeholders to ensure data security policies and procedures are implemented

· Ensure compliance with local and mainland data protection regulations and standards.

· Monitor and report on data security incidents, breaches, and compliance violations.

· Lead training and awareness programs to educate employees on data security best practices.

EXPERIENCE / KNOWLEDGE REQUIRED:

· Bachelor's degree in Information Security, Computer Science, or a related field.

· Minimum of 5 years of experience in data security, risk management, or related roles, preferably in the banking or financial services industry.

· Strong understanding of data security frameworks and knowledge of data protection regulations (e.g. HKMA, PDPO, mainland《数据安全法》etc).

· Proven experience in developing and implementing data security strategies and policies.

· Excellent analytical and problem-solving skill and strong communication and leadership abilities.

· Proficient in Chinese and Mandarin

Purpose
Assists in developing data standards, resolving data quality issues, and coordinating remediation activities. Collaborates with cross-functional teams to enhance data management, ensure compliance, and implement automation for improved efficiency.

Your Key Responsibilities

• Implement and maintain the firm's data governance framework ensuring data quality standards are consistently met.
• Manage data quality metrics, KPIs and dashboards to track and evidence conformance to data governance policies.
• Maintain data lineage documentation to track data flows throughout the organisation.
• Create and manage a comprehensive data glossary to ensure consistent terminology across the firm.
• Utilise Microsoft Purview to catalog data assets and enforce data governance policies.
• Conduct regular data quality assessments and implement remediation plans.
• Prepare regular reports on data governance activities for management.
• Collaborates with cross-functional teams to gather requirements and assess data needs, contributing to the design of solutions that align with Firm objectives.
• Learns about the end-to-end data lifecycle and data controls, helping to identify data dependencies in support of delivery, release, and change management.

Your Experience

• A foundational understanding of data governance principles including data quality, data lineage, roles and responsibilities, and inventory and documentation.
• Proven ability to design and maintain dashboards for tracking conformance.
• Practical experience with Microsoft Purview or similar data governance tools.
• Proven experience working with cross-functional teams, gathering requirements, and translating them into actionable solutions.
• A problem-solving mindset, with experience in identifying, resolving, and/or escalating data quality issues.
• Familiarity with automation tools or processes to improve the efficiency of data management systems.
• Awareness of existing and emerging data protection regulations, with the ability to apply them in a practical and compliant manner.
• Organisational skills, especially when it comes to coordinating complex activities like issue remediation or prioritisation among diverse teams.
• An eye for detail, capable of helping maintain accurate and accessible documentation of data structures and sources.
• An adaptable approach to learning about new tools, technologies, and best practices to support continuous improvement.
• Excellent communication skills to explain technical concepts in clear terms and collaborate effectively with technical and non-technical stakeholders.
• Any prior experience in a professional services or legal environment is desirable.

Language Requirements

• Fluent in English is required and fluent in Chinese is advantageous

The Team
You will be welcomed into the Technology and Data team as a key member of the group. This globally diverse function is made up of skilled professionals who are passionate about leveraging technology and data to enable innovation, drive operational efficiency, and support the firm's strategic ambitions. In this role, you will benefit from strong support and close collaboration with both the local team and the wider Technology and Data community. Our culture emphasises teamwork, trust, and a shared commitment to continuous improvement.

Working alongside colleagues across the business, the Technology and Data team is dedicated to delivering robust digital solutions, maintaining high standards of data integrity, and unlocking insights that inform decision-making. The role offers exposure to a broad range of initiatives, from system enhancements and data governance to emerging technologies and digital transformation projects. You will find ample opportunities to grow your skills, contribute meaningfully, and develop within a supportive and forward-thinking environment.

Linklaters
Linklaters is a global law firm, with 31 offices in 21 countries worldwide.

Linklaters is a people business. Being best in class in the eyes of our clients means that our people must be exceptional.

We look not only for brilliant minds, but for people who will thrive in our environment: people who love working collaboratively and demonstrate the innovative, efficient, agile, entrepreneurial, and responsible mind-set we aim to bring to every interaction.

Ours is an environment of outperformance. We achieve this not with targets and incentives, but by fostering a positive, supportive, fair, and open atmosphere.

We respect and value difference but insist on inclusivity. We celebrate all aspects of diversity and challenge any form of bias. This is vital to our ability to work as one team, with a common goal.

What Sets Us Apart
At Linklaters

• We offer a truly global work experience and the opportunity to be involved in strategic projects that drive innovation and shape the future of our business
• We belong to a firm that embodies its corporate social, environment, and governance responsibility commitments
• We remain focused on talent and having the best people which will result in a diverse workforce
• Having got the best people, we want them to feel included, valued and respected so they can perform at their best
• We advocate speak-up culture to empower our people in sharing their voices and an open-door policy to ensure they are listened to
• We invest in custom-fit career paths for our people in line with their talents and aspirations
• We provide agile working solutions to meet the changing needs of our people and our business
• We are committed to people first relationships based on mutual trust, respect, and appreciation
• We support the health and wellbeing of our people, providing a safe space to talk about emotions and mental health with access to expert advice as needed
• We invest in developing leaders of the future who demonstrate emotional intelligence and a passion to discover, coach and develop the talents of others

Technical Skills
This list of duties and responsibilities above is not exhaustive. It is intended to describe the general content of, and requirements for, the performance of this job. As such, the role may also include the undertaking of additional tasks as required.

PRINCIPAL ACCOUNTABILITIES:

· Develop, implement, and maintain data security policies and procedures to protect sensitive and classified information according to regulatory requirements and Head Office (Mainland) standard / framework.

· Conduct data classification and implement relevant control to mitigate data security risk

· Prepare risk assessments and vulnerability analyses to identify potential threats to data security

· Collaborate with IT, business and other stakeholders to ensure data security policies and procedures are implemented

· Ensure compliance with local and mainland data protection regulations and standards.

· Monitor and report on data security incidents, breaches, and compliance violations.

· Lead training and awareness programs to educate employees on data security best practices.

EXPERIENCE / KNOWLEDGE REQUIRED:

· Bachelor's degree in Information Security, Computer Science, or a related field.

· Minimum of 5 years of experience in data security, risk management, or related roles, preferably in the banking or financial services industry.

· Strong understanding of data security frameworks and knowledge of data protection regulations (e.g. HKMA, PDPO, mainland《数据安全法》etc).

· Proven experience in developing and implementing data security strategies and policies.

· Excellent analytical and problem-solving skill and strong communication and leadership abilities.

· Proficient in Chinese and Mandarin

Applicants who are not contacted within 8 weeks may consider their applications unsuccessful and their personal data will be retained by the bank for a period up to two years.

All information provided by applicants will be used for recruitment purposes only and will be used strictly in accordance with the bank's personal data policies, a copy of which will be provided upon request.

You will be responsible for establishing and assuring data policies, standards and practices, helping to improve the quality and management of our information assets across both functional areas and business delivery streams. The role offers significant career progression, providing opportunities to develop your expertise and take on increasing responsibilities within the business.

Client Details

As a Data Governance Specialist, you will report to our Data Governance Leader within the Transformation office, playing a central role in developing and implementing data governance frameworks and processes across the organisation. This is an exciting opportunity to work on a global scale, gaining exposure to diverse business areas while contributing directly to the delivery of our data strategies. The role involves engaging with stakeholders to facilitate governance expectations, define requirements for data, and support the creation, maintenance and delivery of enterprise-wide data governance activities.

Description

• Provide expert advice and guidance for data management, in support of adoption of methods, tools and adherence to policies and standards
• Facilitate the implementation of data quality standards, master data management practices and associated governance requirements
• Create, maintain and enhance the data management framework, including processes, standards, responsibilities and controls
• Develop and apply data standards, requirements and rules to measure, monitor and report on data quality
• Establish and manage the process for data governance issue resolution, ensuring timely and effective outcomes
• Promote awareness and engagement in data governance across the organisation, fostering a culture of accountability for data
• Support delivery of the enterprise data governance road-map, ensuring alignment with strategic priorities and business objectives

Profile

Essential

• Awareness of Data Management Association Framework
• Experience in Data Management, Data Quality or equivalent roles
• Knowledge of data management processes
• Design and implementation process related to data governance oversight

Desirable

• Qualification in Data Management
• Knowledge in user experience modelling, information design, and concept generation

Job Offer

This is an excellent opportunity for an experienced professional seeking a Data Governance role in a reputable organisation. Apply now to become a key player in the technology department

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Royce Chan on

Is this your next challenge in Retail Industry?

The challenge is to:

1. Data Governance Strategy & Leadership

• Define and execute the enterprise data governance strategy, aligning with business goals and regulatory requirements (e.g., GDPR, CCPA, industry-specific regulations).
• Establish and chair a Data Governance Council with cross-functional leadership to drive adoption and decision-making.
• Develop and maintain a multi-year data governance roadmap, ensuring scalability and adaptability to evolving business needs.

2. Data Ownership & Stewardship

• Implement a data ownership framework, assigning clear roles (Data Owners, Data Stewards) and accountability across business units.
• Define data domain boundaries and ensure proper documentation of data lineage, metadata, and business glossaries.
• Foster a culture of data accountability through training, communication, and governance workflows.

3. Data Quality & Standards

• Design and monitor data quality metrics, dashboards, and remediation processes to ensure high-quality, reliable data.
• Establish data classification and security policies (e.g., PII handling, access controls) in collaboration with InfoSec and Legal teams.
• Implement automated data quality checks and issue-tracking mechanisms for proactive governance.

4. Policy & Compliance

• Develop and enforce data governance policies, standards, and procedures (e.g., retention policies, audit requirements).
• Ensure compliance with industry regulations (e.g., GDPR, HIPAA, SOX) and internal data privacy mandates.
• Partner with Legal and Risk teams to conduct data privacy impact assessments (DPIAs) and audits.

5. Technology & Tooling

• Evaluate and implement data governance tools (e.g., Collibra, Alation, Informatica Axon) for metadata management, lineage tracking, and workflow automation.
• Collaborate with IT and Data Engineering teams to embed governance into data pipelines (e.g., data cataloging, quality checks at ingestion).
• Drive adoption of self-service governance capabilities for business users.

Do you have experience in Data Field?

• 8+ years of experience in data governance, data management, or compliance, with at least 3 years in a leadership role.
• Deep expertise in data governance frameworks (e.g., DAMA, DCAM) and regulatory standards (GDPR, CCPA, BCBS 239).
• Proven track record of implementing data ownership models and stewardships programs in large organizations.
• Strong knowledge of data quality tools (e.g., Great Expectations, Soda), metadata management, and lineage tracking.
• Experience with data governance platforms (e.g., Collibra, Alation, Informatica).
• Excellent stakeholder management skills, with the ability to influence C-level executives and cross-functional teams.

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