What Jobs are available for Data Lead in Hong Kong?

Job Responsibilities

1. Assist in building data models and the company's data platform, optimizing analysis processes, and promoting data standardization.
2. Perform data analysis and reporting to support product strategy and customer management.
3. Responsible for the collection, analysis, and maintenance of product-related data.

Job Requirements

1. 1-3 years of work experience; master's degree or above.
2. Strong data analysis and processing skills, proficient in using common data analysis tools such as SQL and Python.
3. Clear thinking, logical rigor, attention to detail, strong sense of responsibility, and strong data insight ability.

The Executive Centre (TEC) is Asia's premium flexible workspace provider, opened its doors in Hong Kong in 1994 and today boasts over 240+ centres in 37 cities and 15 markets.

The Executive Centre caters to ambitious professionals and industry leaders looking for more than just an office space - they are looking for a place for their organisation to thrive. TEC has cultivated an environment designed for success with a global network spanning Greater China, Southeast Asia, North Asia, India, Sri Lanka, the Middle East, and Australia, with sights to go further and grow faster. Each Executive Centre offers a prestigious address with the advanced infrastructure to pre-empt, meet, and exceed the needs of its Members. Walking with Members through every milestone and achievement, The Executive Centre empowers ambitious professionals and organisations to succeed.

Privately owned and headquartered in Hong Kong, TEC provides first class Private and Shared Workspaces, Business Concierge Services, and Meeting & Events facilities to suit any business' needs.

The Data Strategy Lead will be responsible for building, executing, and optimising the data strategy for The Executive Centre (TEC), enabling data-driven decision-making and innovative solutions across the organisation. This role will drive comprehensive data governance, analytics, and reporting initiatives, ensuring the scalability and integrity of data to support business development.

Responsibilities

• Develop, implement, and refine a robust data strategy aligned with TEC's business objectives and growth plans.
• Collaborate across departments to understand business needs, identify data-driven opportunities, and translate requirements into actionable insights.
• Lead the design of data and analytics operating models, encompassing people, process, technology, and data.
• Drive the adoption of data management best practices to ensure data quality, integrity, and security.
• Oversee the rollout and optimisation of data tools and technologies to enable advanced analytics and reporting.
• Mentor data professionals and foster a culture of data literacy and usage.
• Manage and prioritise the delivery of analytics projects, proactively identifying and mitigating risks.
• Champion data governance and compliance, ensuring frameworks meet regulatory and ethical standards.

Requirements

• Bachelor's or advanced degree in Data Science, Information Systems, Business, or a related discipline.
• 10+ years' experience in senior data strategy, data analytics, or business intelligence leadership roles, ideally within professional services, technology or real estate sectors.
• Strong knowledge of modern data platforms, analytics tools, and visualisation solutions.
• Proven ability to manage cross-functional projects and lead change management initiatives.
• Excellent communication and stakeholder management skills, with the ability to influence at all levels.
• Experience in APAC markets and fluency in English required; additional languages an advantage.

Company Description

Oakham Partners is a bespoke recruitment services provider located in Hong Kong. We specialize in providing recruitment solutions for clients ranging from large corporations to SMEs and start-ups. Our expertise and industry knowledge allow us to find the best candidates for our clients' specific needs. We recruit specialists across various professional disciplines and cater to the local recruitment market by focusing on new and emerging areas. Our team of consultants are experts in their respective fields, with many having industry experience within the disciplines they recruit for. Whether it's permanent, contract, or interim professionals, we provide recruitment solutions worldwide.

Job Summary

We are seeking a highly experienced and strategic Data Engineering Lead to oversee the data engineering team and drive the implementation of advanced data and AI initiatives. The ideal candidate will have a strong background in data engineering, with significant exposure to data science and analytics, and a minimum of seven years of experience. This role requires a leader who can provide vision and technical guidance, foster a high-performing team culture, and effectively communicate complex data concepts to both technical and business stakeholders.

Key Responsibilities

Strategy & Leadership

• Provide overall strategic guidance for the data engineering roadmap, ensuring alignment with organizational objectives.
• Lead and mentor a data team, fostering a collaborative and high-performing culture to achieve strategic goals.
• Identify and present the business benefits and value propositions of potential data and AI use cases to stakeholders.
• Review and enhance the data team's operational model in conjunction with stakeholders to optimize efficiency and impact.

Technical Architecture & Development

• Build a scalable data framework using modern Azure technologies, including Azure Data Factory, Databricks, Azure Synapse, and Microsoft Fabric, to support downstream applications.
• Refactor redundant and low-efficiency code from legacy systems or vendors, including data pipelines, PySpark, SQL, and shell scripts.
• Oversee the implementation of AI solutions, to provide data analysis self-service capabilities.
• Ensure the data architecture incorporates core data management competencies, including data governance, data quality, and data security.

Team Coordination & Communication

• Coordinate and oversee the offshore team in Mainland China, ensuring project goals and timelines are met.
• Facilitate effective communication and collaboration between onshore and offshore teams and with other departments.
• Act as a technical liaison, translating complex data concepts for business stakeholders and guiding the team to deliver user-centric solutions.

Qualifications

• Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics) or equivalent experience.
• A minimum of 7+ Years of experience in data engineering, with demonstrated exposure to data science and analytics principles.
• Proven experience providing strategic direction and implementing complex data and AI solutions.
• Hands-on expertise with Azure data services, including Azure Data Factory, Databricks (PySpark), Azure Synapse, and Microsoft Fabric.
• Experience with other relevant technologies, such as SQL Server Integration Services (SSIS), MongoDB, and modern orchestration tools.
• Strong analytical, problem-solving, and leadership skills, with the ability to manage complex projects and mentor junior team members.
• Exceptional communication and stakeholder management skills, with the ability to influence and build consensus across different groups.

WeLab, a leading pan-Asian fintech platform, operates two digital banks (WeLab Bank and Bank Saqu) as well as multiple online financial services in Hong Kong, Mainland China and Indonesia, with over 70 million individual users and over 700 enterprise customers. WeLab uses game-changing technology to help users access credit, save money, and enjoy their financial journey.

WeLab, a leading pan-Asian fintech platform, operates two digital banks (WeLab Bank and Bank Saqu) as well as multiple online financial services in Hong Kong, Mainland China, Indonesia, with over 70 million individual users and over 700 enterprise customers. WeLab uses game-changing technology to help users access credit, save money, and enjoy their financial journey.

At WeLab, we always put our people first. Embarking on a career with WeLab means being part of the driving force to make financial services accessible for everyone. In our flat and agile organization, you will get all the opportunities to make real impacts and deliver change. Most importantly, while you achieve greatness, we will ensure you have an amazing experience at WeLab

Our team is energetic and passionate who can deliver and execute, and we are looking for intellectually curious, open-minded, and smart-working individuals who are just as passionate as we are about making financial services enjoyable.

Join us to build a better financial future for everyone

About You:

You're a go-getter with mad juggling skills (or multiple hats) who can thrive in a fast-paced, agile environment

You enjoy doing purpose-led and meaningful work

You have a strong thirst for knowledge and are driven to find solutions that don't exist yet

You are comfortable with ambiguity and extremely resourceful (in your past life, you could've been a detective)

You always find a way to get things done without sacrificing the quality of your work, integrity, and values

No task is off limits for you

You are humble and prioritize the success of the team over your own with an eagerness to help those around you

You don't shy away from challenges and can bounce back from setbacks

About this role:

We are seeking a highly skilled and experienced Data Scientist Lead with a strong background in AI/ML model development within the banking industry. The ideal candidate must have a minimum of 8 years of hands-on experience in AI/ML, with prior experience in building and implementing various type of propensity models, forecasting solutions and GenAI Solutions. This role requires deep technical expertise in Python, Spark, PySpark, and VertexAI tools, along with a strong business acumen to translate business requirements into actionable AI/ML solutions, who can drive the solutions design, recommend different AI/ML algo or solution to address the business problems.

What you'll do and what success looks like in this role:

Identify business opportunities by applying data modelling, machine learning, deep learning and NLP to identify opportunities, and make valuable discoveries leading to better business decision making

Play a vital role in generating innovative solutions by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, data mining, and machine-learning techniques.

Generate and test hypotheses, analyze and interpret the results of product experiments

Solid working experiences in design, develop, and deploy AI/ML models, with a focus on Time Deposit Pricing Models to optimize interest rate offers.

Lead and drive the end-to-end AI/ML model development, including data preparation, feature engineering, model training, validation, and deployment.

Conduct model validation, performance tuning, and A/B testing to evaluate and enhance model effectiveness.

Work closely with business stakeholders to understand business requirements, translate them into technical specifications, and implement AI/ML solutions that drive business impact.

Provides mentorship and guidance to junior team members when necessary.

Take full accountable and ownership on AI/ML projects. manage project delivery, project risks with proper escalation.

Utilize Python, Spark, PySpark, and Cloud AI studio tools to build and optimize machine learning models.

Ensure compliance with banking regulations and risk management policies in AI/ML development.

Collaborate with cross-functional teams, including Data Engineering, Business Analytics, and IT, to integrate models into production environments.

Stay up to date with the latest AI/ML technologies, tools, and industry best practices to improve model performance and innovation.

Identify new analytics tools and techniques and lead development and deployment of infrastructure for generating and analyzing information

What is required and what we're looking for:

Minimum 3 years of experience in managing data scientist team.

Minimum 5 years of experience in AI/ML model development within the banking industry.

Degree holder in Data Science, Information Technology, Statistics or other related disciplines

Proven experience in building Time Deposit Pricing Models to optimize deposit rates and enhance customer engagement.

Demonstrable professional experience in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), NLP, deep learning and optimization algorithms

Excellent skills on Python, Spark, PySpark or SQL, with understanding of database structure, model design and segmentation techniques

Hands-on experience with Cloud AI Studio tools (e.g., Google Vertex AI, AWS SageMaker Studio, or Azure ML).

Strong understanding of machine learning algorithms, statistical modeling, and optimization techniques.

Ability to work independently and strategically, open to tackling new issues and sounding out new ideas.

Able to explain analytical methodologies and concepts in non-technical language

Ability to work independently and take ownership of AI/ML model development projects.

Strong business acumen and ability to align AI/ML solutions with banking business objectives.

Excellent problem-solving skills, attention to detail, and a results-oriented mindset.

Strong communication skills to effectively collaborate with business and technical stakeholders.

A proactive and can-do attitude

Excellent communication skills in English, Mandarin and Cantonese.

Preferred Qualifications

Experience in deploying AI/ML models into production within a banking environment.

Knowledge of regulatory requirements related to AI/ML models in financial institutions.

Prior experience in leading AI/ML projects and leading the data scientist team and coaching/mentoring junior team members.

Perks and Benefits to enrich your experience at WeLab:

Learning and development stipend - we value lifelong learning and believe the best way to invest in our employees is to encourage them to continue to learn

Wellness and happiness – Numerous activities to let you focus on your physical and mental wellbeing. We allow flexible time offs to take care of personal matters and to enjoy time with family and friends

Comfortable and positive work environment – Open plan office for easy collaboration and social with your colleagues, or branch out into your own thinking pods when needed, with FREE food and drinks for when you want to recharge

Work smart, play hard – Connect with your colleagues over food and drinks at the stocked pantry, in the spacious social area with board games and a ping pong table, or over activities like hiking, yoga, badminton, etc.

A big and contagious smile on everyone's face to make you happier : )

WeLab's Awards & Recognitions:

Asia Banking Finance Retail Banking Awards: Virtual Bank of the Year - Hong Kong

CNBC Disruptor 50: the only Hong Kong-based company on the list

Financial Times Asia-Pacific High-Growth Companies: #2 in ranking

The Chinese University of Hong Kong "Corporate Innovation Index": #1 in ranking

We offer a competitive salary package to the successful candidate. If you are interested in joining this exciting team, please apply with resume via the "Apply" button below.

All information provided by applicants will be used for recruitment purposes only. Information of unsuccessful applicants will be destroyed within 24 months of receipt.

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

Full-time

Job Responsibilities:

1. Develop and execute the bank's model roadmap, ensuring alignment with the bank's overall business objectives.
2. Recruit and manage a high-performing model team (including model scientists, data product managers, etc.), fostering an innovative, collaborative, and data-driven culture.
3. Oversee the full lifecycle of user models, marketing models, risk models, etc., from requirement analysis, design, development, validation to deployment, ensuring accuracy, stability, and business value.
4. Collaborate closely with risk, market, product, and other vertical business team leaders to deeply understand business pain points and drive the implementation and application of data models in business scenarios.
5. Lead the establishment and maintenance of enterprise-wide data standards and model governance frameworks, ensuring all data activities comply with the regulatory requirements of the Hong Kong Monetary Authority (HKMA).
6. Evaluate and introduce advanced data technologies and tools (e.g., MLOps platforms) to enhance team R&D efficiency and explore the application potential of cutting-edge technologies (e.g., AIGC) in the financial domain.

Qualifications:

1. Master's degree or above in Computer Science, Statistics, Financial Engineering, or related fields, with over 10 years of experience in the data field, including at least 5 years in the financial industry (banks, credit card centers, or leading fintech companies).
2. At least 3 years of team management experience, with a successful track record of leading teams of 5 or more data science or team members, including experience in building teams from scratch.
3. Expertise in machine learning, statistical modeling, and their applications in financial risk control, precision marketing, etc. with a deep understanding of data warehouses and data architecture.
4. Proven experience in leading and delivering data projects that have significantly impacted business outcomes (e.g., reducing bad debt, improving marketing ROI), with the ability to clearly quantify their value.
5. Excellent communication skills in both Chinese and English, with strong cross-departmental coordination and leadership capabilities, and the ability to collaborate effectively with executives at all levels.
6. A good understanding of the Hong Kong financial regulatory environment, with a strong awareness of data security and compliance.

Bonus Points:

1. Experience in data modeling roles at international banks or financial institutions (e.g., Capital One, Citigroup).
2. Practical experience in planning, building, and governing large-scale data.
3. Familiarity with data services and machine learning tools on cloud platforms (AWS, Azure, GCP).

Our client is a leading consulting firm with regional coverage. They are looking for a Data Migration Lead to join their team.

Responsibilities

• Create a plan of all activities and tasks required to populate the new solutions with all current and historical data necessary for the correct operation of the solutions.
• Develop associated resource and budget requirements to implement the plan within the framework and constraints of the overall programme plan and project plans.
• Monitor and report progress of the data migration plan at project level.
• Identify if there are issues and risks for the data migration activities.
• To identify mitigation plan for the risk discovered.
• Manage and co-ordinate activities for the ETL engineers to perform the data migration.
• Design a quality management scheme and plan for data migration activities including validation of loaded data to ensure the maximum efficiency and accuracy of data populated within the new solution.

Requirements

• Exp. In leading data migration activities
• Knowledge in the tools used for SAP S/4HANA data migration, such as Migration Cockpit
• Prior SAP functional / implementation experience
• Strong knowledge of SD processes, pricing, billing, and integration with PP, MM and FICO modules
• Greenfield design and solution experience strongly preferred
• Able to perform hands on tasks such as configuration, prepare functional spec

Interested parties, please apply via

Please note that only short listed candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes

A leading bank is seeking a high-caliber individual to take on the role of Digital Channels Governance Lead. This position entails establishing robust program governance for a range of data and digital channels within Securities Services.

Key Responsibilities

• Facilitate the execution of initiatives in line with established project governance, methodologies, and change management practices.
• Develop governance frameworks to support the creation of data and digital tools, leading discussions to mitigate risks and ensure clarity.
• Provide regular updates and status reports to stakeholders on various programs, maintaining a focus on the overall health of initiatives and making adjustments as needed.
• Collaborate with Operations, Product teams, and Client Management to promote alignment and synergy among teams and business units.
• Work with teams to instill new cultural practices and methodologies across the organization, engaging both leadership and team members.

Qualifications and Skills

• At least 8-10 years of relevant experience within the banking or financial industry.
• Demonstrated experience in managing and executing large-scale programs, with a solid background in program governance.
• Strong knowledge of data and digital capabilities to effectively engage with teams and key stakeholders in this domain.
• Proficiency in creating project artifacts that enhance project management and monitoring.
• Ability to influence stakeholders across the organization, inspire and negotiate with senior leaders, and present to diverse audiences.
• Skilled in gathering, analyzing, prioritizing, and validating requirements while fostering strong partnerships with business stakeholders.
• Experience in leading digital transformation and continuous improvement initiatives, with a focus on enhancing capabilities, agility, and cost-effectiveness.
• Good command in Cantonese, English and Mandarin

We are seeking an experienced Lead Data Governance Manager with over 15 years of hands-on expertise in Data Governance, covering both cloud environments (Google Cloud Platform, Amazon Web Services) and on-premises enterprise platforms. He or She will design, build, and operationalize comprehensive governance programs spanning on-prem and cloud, ensuring a unified and robust data governance strategy across all environments.

Key Responsibilities

• Design, implement, and drive enterprise-wide data governance programs across on-premises, hybrid, and multi-cloud environments, ensuring regulatory compliance, data quality, and security.

• Develop and maintain policies, standards, and operating models for data ownership, classification, access control, retention, and stewardship applicable to both on-prem and cloud.

• Design with the Architect to automate solutions for metadata management, data lineage, cataloging, data quality, and data privacy using native on-prem, GCP, and AWS services.

• Collaborate with data engineering, architecture, security, and compliance teams to embed governance controls across all data pipelines and platforms.

• Lead MDM (Master Data Management), data catalog, DLP (Data Loss Prevention), and compliance projects for both on-prem and cloud systems, leveraging native and third-party tools.

• Establish governance KPIs, reporting dashboards, and continuous improvement processes for measuring program effectiveness across environments.

• Advise on data platform and integration strategies, technology evaluations, and governance tool selection.

• Lead Data Governance team members, fostering continuous skill and knowledge development through day-to-day mentorship and guidance.

• Deliver Training to data engineers and data scientists on data governance principles and their Strategic importance.

Required Skills and Experience

• 15+ years of experience in Data Governance, Data Management, or Data Architecture in large-scale enterprise environments with significant on-prem and cloud footprints.

• Expert hands-on knowledge of on-prem data technologies (RDBMS, data warehouses, ETL tools, MDM platforms, metadata management, and DLP solutions) alongside Google Cloud (BigQuery, Dataproc, Data Catalog, DLP, IAM, Security Command Center, etc.) and AWS (S3, Glue, Lake Formation, CloudTrail, AWS DMS, Macie, IAM, etc.).

• Proven experience integrating and governing data across on-prem, cloud, and hybrid architectures.

• Deep understanding of industry regulations (GDPR, CCPA, HIPAA) and privacy-by-design principles across all technology stacks.

• Experience implementing data classification, lineage, and cataloging solutions for distributed, on-prem, and multi-cloud platforms.

• Familiarity with data quality, master/reference data management, batch/streaming data integration, and cloud/on-prem API integrations.

• Ability to communicate complex governance concepts to both technical and non-technical stakeholders, including C-level executives.

• Strong project management, stakeholder engagement, and problem-solving skills.

Preferred Qualifications

• Cloud and data management certifications (Google Professional Data Engineer, AWS Certified Data Analytics, AWS Security, on-prem MDM or data warehousing).

• Experience leading hybrid and regulated enterprise data governance transformations.

• Prior experience implementing governance solutions in regulated industries (finance, healthcare, pharma, government, etc.).

Personal Attributes

• Strategic thinker with a passion for hands-on technical work and architectural vision.

• Strong leadership, collaboration, and mentoring capabilities.

• Adaptable, proactive, and thorough, with a board-level view of end-to-end data governance strategy and execution.

If you are a dynamic data leader with deep roots in both on-prem and cloud data ecosystems—and possess mastery across GCP, AWS, and enterprise platforms—we invite you to join our team to shape the future of our unified data landscape.

All personal data provided by candidates will be used for recruitment purposes only by HKT Services Limited in accordance with HKT's Privacy Statement, which is available on our website. Unless otherwise instructed in writing, candidates may be considered for other suitable positions within the Group (being, HKT Limited, PCCW Limited and their respective subsidiaries, affiliates and associated companies). Personal data of unsuccessful candidates will normally be destroyed 24 months after rejection of the candidate's application. If you have any questions regarding your personal data held by HKT Services Limited HKT's Privacy Statement, please feel free to contact our Privacy Compliance Officer by writing to or GPO Box 9896, Hong Kong.

About the Role:

As a Data Center Lead Engineer, you will be a part of a team responsible for data center site operations and E&M technical maintenance management and planning work.

You will be responsible for providing support, preventive maintenance, and repairs on equipment and systems available in the data center campus.

What You'll Do:

* Troubleshoot, diagnose and restore routine technical service and equipment.

* Address major network problems impacting multiple business locations, major network elements, or site outages. Verify all documentation is accurate and maintained.

* Maintain documentation of routine maintenance schedules, system configurations, applications, and technical reference materials.

* Develop, implement and audit local Method of Procedures (MOP's), Standard Operating Procedures (SOP's), Emergency Operating Procedures (EOP's).

* Ensure electrical & mechanical infrastructure is maintained per manufacturers recommendation or client/CBRE statements of work (SOW).

* Closely monitor the Risk Assessments and Supplier activities on the site and ensure they follow current H&S legalisation.

* Manage contractors/suppliers to ensure maintenance, repairs, and operations are to a high standard and in line with maintenance agreements/SLAs.

What You'll Need:

* Bachelor's Degree, High School Diploma, or trade school diploma with 4-5 years of job-related experience, preferrably with experience in the data center/critical environment sector

* Holder of Registered Electrical Workers (REW) License is a must.

* Ability to exercise judgment based on the analysis of multiple sources of information.

* Willingness to take a new perspective on existing solutions.

* Organizational skills with an advanced inquisitive mindset.

* Demonstrate a good understanding and be technically competent in all building services, in particular UPS, Generators, Static Switches, Water Treatment, Refrigeration and Air Conditioning. 

* Ability to lead, motivate and direct a technical/engineering team.

* Proactive in achieving the highest standard of operation.

Supplier activities on the site and ensure they follow current H&S legalisation.

* Manage contractors/suppliers to ensure maintenance, repairs, and operations are to a high standard and in line with maintenance agreements/SLAs.