419 Data Team jobs in Hong Kong

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry.

Job Title: Senior Business Analyst (Data Engineering)

Job Type: Full-Time

Job Description :-

• Design and model efficient database models to support business operations and scalability while collaborating with developers
• Create and maintain database mappings between source and target tables for ease of access and readability .
• Collaborate with stakeholders, translating business requirements into optimized database solutions.
• Work closely with development and analytics teams to support data-driven decision-making.

Experience:-

• Minimum 5 years of Business Analyst

Technical Skills:-

• Strong understanding of database modelling and design principles.
• Deep knowledge of database concepts, including Normalization and Slowly Changing Dimensions (SCD).
• Proven experience in database mapping and managing structured data relationships.
• Ability to communicate effectively with stakeholders, conveying technical details clearly.
• Good to have: Experience with AWS database services, including RDS, Redshift .
• A proactive approach to problem-solving in a dynamic, fast-paced environment.

Domain Knowledge:-

• Good understanding of life and health insurance , policy servicing, and claims lifecycle (e.g., hospitalization, reimbursement, rejection handling) is preferred
• Familiarity with insurance data such as Life-Asia, Group-Asia is preferred.

Soft Skills:-

• Excellent communication and stakeholder engagement skills in English (Cantonese is a plus)
• Analytical thinking and problem-solving abilities
• Ability to work under pressure and meet tight deadlines

Why Capgemini is unique

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. Through our New Normal campaign, we are looking to embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people

Get the future you want

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs, and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is Capgemini.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology, Engineering, and Consulting
• Industries IT Services and IT Consulting, Business Consulting and Services, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Capgemini by 2x

Wan Chai District, Hong Kong SAR 1 week ago

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Join to apply for the Assistant Data Engineering Lead role at Swire Properties

2 days ago Be among the first 25 applicants

Join to apply for the Assistant Data Engineering Lead role at Swire Properties

Direct message the job poster from Swire Properties

A career at Swire Properties is more than just work, it’s a calling.

We’re searching for exceptional individuals who want to live and breathe “Creative Transformation” – our distinct mindset and long-term approach that inspires everything we do and how we do it. It inspires us to constantly explore new perspectives and seek out original thinking that goes beyond the conventional. Our mission, ultimately, is to constantly add value to communities and create truly amazing and sustainable places where people can thrive. Additionally, we are deeply committed to prioritising health and safety in all our operations, ensuring a healthy, safe and supporting environment for our People, partners and the communities we serve.

Join us today and work on career-defining projects that are changing the industry in Hong Kong, the Chinese Mainland, Miami and Southeast Asia.

We are now looking for a talented Assistant Data Engineering Lead to be part of our team. The candidate will be leading a small data management and engineering team to manage and enhance a data platform on cloud. The incumbent will work closely with internal IT, business stakeholders, data analyst, business analyst and vendors on planning, management, execution & delivery of data management and the enablement for data-driven business model for Swire Properties. The incumbent will also work with internal stakeholders in ensuring the data is managed in accordance to Data protection policies.

RESPONSIBILITIES

• Maintain, design, and enhance a Data Platform on the Cloud, to enable both CRM and non-CRM applications, such as data analytics, customer de-duplication and anonymization, machine learning model and Generative AI adoption
• Lead a team of internal and external developers in maintaining and enhancing existing ETL pipelines and storage on an Azure Data Platform
• Supporting the Data Management and Analytics Lead in managing and prioritizing enhancements on cloud platform
• Collaborate with Digital & IT Team and external data management vendors to establish end-to-end data pipeline (real-time and/or batch) from data ingestion, transformation, to data modelling through requirement gathering, data mapping, testing, and troubleshooting, and other relevant processes
• Develop and enhance the data deduplication and anonymization pipelines upon data source updates, and changes
• Integrate and update a Data Model for BI Dashboard and general analytics development
• Collect and review requirements to update and maintain a robust data model for a wide range of analytics purposes
• Ensure the data and information are delivered on-time with high quality, good performance, reconciled and integrity assured
• Support the Data Management and Analytics Lead in providing data requirements on upstream systems and touchpoints upon the introduction of incremental

REQUIREMENTS

• University graduate in Information Technology, Computer Science, Information System or related discipline
• Minimum 5 years’ working experience in data infrastructure and architecture with demonstrated experience and capability in data warehousing, data modelling and design, data integration, data migration, ETL/ELT, BI and Big data solutions skill sets and strong SQL, Pyspark & Python
• Experience in data processing with small data & big data storage format like CSV, Parquet, Hive Metastore is a must
• Experience with implementing and maintaining cloud services such as Azure (Data Lake Storage Gen2, SQL DB, Data Factory, Databricks, Unity Catalog, DevOps) or related is highly desirable
• Experience with Test Driven Development (TDD) and Continuous Integration/ Development (CI/CD) in data platform development and design, implementation & maintenance regarding data platform security is highly desirable
• Experience with implementing semantic model for BI visualization tool, Machine Learning engineering or Agentic AI implementation is highly desirable
• Experience with data quality management, data lineage & data catalog is highly desirable
• Experience with Agile or Scrum methodologies and working with project management tools like Jira is a plus
• Experience in leading a small team of data engineers and vendor management
• Good presentation & communication skills written and spoken English, Cantonese and Mandarin

BEHAVIOURAL COMPETENCIES

• Decision Quality
• Business Acumen
• Drives for Results
• Ensures Accountability
• Communicates Effectively
• Situational Adaptability

WHY CHOOSE US

• We’ve won the Randstad Hong Kong Most Attractive Employer Award in 2022, and have been in the Top 10 since 2017
• HRoot Best Employer Award 2023 (Chinese Mainland)

Don’t Miss This Opportunity

As an equal opportunity employer, Swire Properties strives to foster a diverse workforce and inclusive workplace, where People can thrive.

If you require special assistance and accommodations during any part of the recruitment process, including the online application and/or the selection process, please reach out to us via email at any time.

If we haven't contacted you six weeks after your submission, then please consider your application unsuccessful this time.

All personal data collected during the application process will be kept for 12 months after its completion, and then destroyed. All information will be used for recruitment and appointment purposes only. The Company will handle all personal data confidentially in accordance with the Hong Kong Special Administrative Region's Personal Data (Privacy) Ordinance.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Swire Properties by 2x

Southern District, Hong Kong SAR 2 months ago

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

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry.

Job Title: Senior Business Analyst (Data Engineering)

Job Type: Full-Time

Job Description :-

• Design and model efficient database models to support business operations and scalability while collaborating with developers
• Create and maintain database mappings between source and target tables for ease of access and readability .
• Collaborate with stakeholders, translating business requirements into optimized database solutions.
• Work closely with development and analytics teams to support data-driven decision-making.

Experience:-

• Minimum 5 years of Business Analyst

Technical Skills:-

• Strong understanding of database modelling and design principles.
• Deep knowledge of database concepts, including Normalization and Slowly Changing Dimensions (SCD).
• Proven experience in database mapping and managing structured data relationships.
• Ability to communicate effectively with stakeholders, conveying technical details clearly.
• Good to have: Experience with AWS database services, including RDS, Redshift .
• A proactive approach to problem-solving in a dynamic, fast-paced environment.

Domain Knowledge:-

• Good understanding of life and health insurance , policy servicing, and claims lifecycle (e.g., hospitalization, reimbursement, rejection handling) is preferred
• Familiarity with insurance data such as Life-Asia, Group-Asia is preferred.

Soft Skills:-

• Excellent communication and stakeholder engagement skills in English (Cantonese is a plus)
• Analytical thinking and problem-solving abilities
• Ability to work under pressure and meet tight deadlines

Why Capgemini is unique

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. Through our New Normal campaign, we are looking to embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people

Get the future you want

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs, and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is Capgemini.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology, Engineering, and Consulting
• Industries IT Services and IT Consulting, Business Consulting and Services, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Capgemini by 2x

Wan Chai District, Hong Kong SAR 1 week ago

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

Join to apply for the Technology – Data Engineering Sr. Analyst role at Accenture .

Assist in building and maintaining scalable data pipelines, support data warehouse and storage solutions, collaborate with data and software engineers, work with cloud platforms (AWS, Azure, GCP), monitor infrastructure, and implement data governance and security.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Solid SQL knowledge and experience with relational databases.
• Familiarity with Python, Java, or Scala.
• Understanding of cloud platforms like AWS, Azure, or GCP is a plus.
• Exposure to big data technologies like Spark, Hadoop, Kafka is a bonus.
• Strong problem-solving skills, eagerness to learn, and excellent communication skills.
• Proficiency in English and Cantonese; Mandarin is an advantage.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industry: Business Consulting and Services

This job is active and accepting applications.

Join to apply for the Technology – Data Engineering Sr. Analyst role at Accenture .

Assist in building and maintaining scalable data pipelines, support data warehouse and storage solutions, collaborate with data and software engineers, work with cloud platforms (AWS, Azure, GCP), monitor infrastructure, and implement data governance and security.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Solid SQL knowledge and experience with relational databases.
• Familiarity with Python, Java, or Scala.
• Understanding of cloud platforms like AWS, Azure, or GCP is a plus.
• Exposure to big data technologies like Spark, Hadoop, Kafka is a bonus.
• Strong problem-solving skills, eagerness to learn, and excellent communication skills.
• Proficiency in English and Cantonese; Mandarin is an advantage.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industry: Business Consulting and Services

This job is active and accepting applications.

Join to apply for the Technology – Data Engineering Specialist/ Sr. Analyst role at Accenture .

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

Let there be CHANGE

Ready to fast-track your career? Ready to solve complex problems? Advance your skills? Deliver next-generation technology solutions? Join Accenture and help transform leading organizations and communities around the world. Working in highly collaborative teams for world-leading clients, we’ll nurture your talent in an inclusive culture that values diversity.

Your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity, and your best true self to your work.

Here, you’ll match your ingenuity with the latest technology to make incredible things. Let’s create something together.

You can enjoy:

• Comprehensive Medical (24-hour worldwide) coverage, including your spouse/ life partner and children!
• Dental insurance, Life insurance, Total and perm disability, accidental death & dismemberment insurance!
• Vision care benefits, Health check, Housing benefits!
• Purchase of Accenture stocks at attractive discount!
• Reimbursement of Professional Membership costs
• Professional training and career advancement opportunities!
• Valuable project exposure for different technologies and industry domains!

When you work with us, change becomes the most dynamic, powerful source of progress you have!

• Assist in building and maintaining scalable and reliable data pipelines.
• Support the development and optimization of our data warehouse, data lake, and other storage solutions.
• Collaborate with data engineers, analysts, and software engineers to ensure efficient data flows.
• Work with cloud-based data platforms (e.g., AWS, Azure, GCP) and modern data processing frameworks.
• Monitor and troubleshoot data infrastructure issues to ensure high availability and performance.
• Assist in implementing data governance, security, and compliance best practices.
• Continuously improve and document data platform processes and workflows.

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Basic knowledge of SQL and experience working with relational databases.
• Familiarity with Python, Java, or Scala for data processing.
• Understanding of cloud platforms like AWS, Azure, or GCP is a plus.
• Exposure to big data technologies like Spark, Hadoop, or Kafka is a bonus.
• Strong problem-solving skills and eagerness to learn new technologies.
• Excellent communication and collaboration skills. Good communication, interpersonal, and relationship building skills.
• High proficiency in both verbal and written English and Cantonese (Mandarin is an added advantage).

• Mid-Senior level

• Full-time

• Information Technology and Engineering

• Business Consulting and Services

Referrals increase your chances of interviewing at Accenture by 2x.

Get notified about new Technology Specialist jobs in Hong Kong, Hong Kong SAR .

Join to apply for the Technology – Data Engineering Specialist/ Sr. Analyst role at Accenture .

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

Let there be CHANGE

Ready to fast-track your career? Ready to solve complex problems? Advance your skills? Deliver next-generation technology solutions? Join Accenture and help transform leading organizations and communities around the world. Working in highly collaborative teams for world-leading clients, we’ll nurture your talent in an inclusive culture that values diversity.

Your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity, and your best true self to your work.

Here, you’ll match your ingenuity with the latest technology to make incredible things. Let’s create something together.

You can enjoy:

• Comprehensive Medical (24-hour worldwide) coverage, including your spouse/ life partner and children!
• Dental insurance, Life insurance, Total and perm disability, accidental death & dismemberment insurance!
• Vision care benefits, Health check, Housing benefits!
• Purchase of Accenture stocks at attractive discount!
• Reimbursement of Professional Membership costs
• Professional training and career advancement opportunities!
• Valuable project exposure for different technologies and industry domains!

When you work with us, change becomes the most dynamic, powerful source of progress you have!

• Assist in building and maintaining scalable and reliable data pipelines.
• Support the development and optimization of our data warehouse, data lake, and other storage solutions.
• Collaborate with data engineers, analysts, and software engineers to ensure efficient data flows.
• Work with cloud-based data platforms (e.g., AWS, Azure, GCP) and modern data processing frameworks.
• Monitor and troubleshoot data infrastructure issues to ensure high availability and performance.
• Assist in implementing data governance, security, and compliance best practices.
• Continuously improve and document data platform processes and workflows.

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Basic knowledge of SQL and experience working with relational databases.
• Familiarity with Python, Java, or Scala for data processing.
• Understanding of cloud platforms like AWS, Azure, or GCP is a plus.
• Exposure to big data technologies like Spark, Hadoop, or Kafka is a bonus.
• Strong problem-solving skills and eagerness to learn new technologies.
• Excellent communication and collaboration skills. Good communication, interpersonal, and relationship building skills.
• High proficiency in both verbal and written English and Cantonese (Mandarin is an added advantage).

• Mid-Senior level

• Full-time

• Information Technology and Engineering

• Business Consulting and Services

Referrals increase your chances of interviewing at Accenture by 2x.

Get notified about new Technology Specialist jobs in Hong Kong, Hong Kong SAR .

Join to apply for the Senior Data Science Manager - Data & AI role at AXA Hong Kong and Macau

1 day ago Be among the first 25 applicants

Join to apply for the Senior Data Science Manager - Data & AI role at AXA Hong Kong and Macau

Direct message the job poster from AXA Hong Kong and Macau

AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 50 markets and serving 95 million customers worldwide. Our purpose is to act for human progress by protecting what matters.

As one of the most diversified insurers in Hong Kong, we offer integrated solutions across Life, Health and General Insurance. We are the largest General Insurance provider and a major Health and Employee Benefits provider. Our aim is to not only be the insurer to provide comprehensive protection to our customers, but also a holistic partner to the individuals, businesses and community we serve. At the core of our service commitment is continuous product & service innovation and customer experience enrichment, which is achieved through actively listening to our customers' needs and leveraging and investing in technology and digital transformation.

We embrace our responsibility to be a driving force against climate change and a force for good to create shared value for our community. We are proud to be the first to address the importance of mental health through different products and services and thought leading iconic research. Our overall Sustainability Strategy, with emphasis on climate strategy and biodiversity commitment, is developed based on TCFD recommendations. We are committed to integrating environmental, social and governance factors across our business and strive to contribute to a sustainable future through 3 distinct roles - as an investor, an insurer and an exemplary company.

AXA is an equal opportunity employer. We are committed to promoting Diversity and Inclusion (D&I) by creating a work environment where all employees are treated with dignity, respect, and where individual differences are valued. We welcome and treasure diverse profiles to join our big family, and to build an inclusive culture together which allows everyone to maximise their personal potential.

Our people strategies are designed to enhance employee well-being and professional growth, ultimately empowering them to excel within the company. Click here to learn more about our Benefits ( , Culture ( & Career Development (

We are seeking a highly experienced and strategic Senior Data Science & AI Manager to lead our Data & AI Center of Excellence (CoE). Reporting to the Data Science and Management Director, you will oversee a talented team of five data science analysts and act as a core business partner. This role demands a proactive leader with strong technical expertise, excellent stakeholder management, and a proven track record in delivering impactful data and AI solutions that support operational excellence and strategic business needs.

Responsibilities:

• Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results-driven delivery.
• Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization.
• Drive end-to-end delivery of high-impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth.
• Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools.
• Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval-Augmented Generation) with a proven track record of successful use case implementations.
• Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships.
• Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies.
• Promote best practices in AI, cloud data engineering, and analytics, ensuring high-quality, timely delivery of initiatives while maintaining operational excellence.
• Proactively identify new opportunities for data-driven automation and AI innovation that can create sustainable business value.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field.
• 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity.
• Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments.
• Extensive hands-on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering.
• Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact.
• Deep understanding of business processes, with the ability to act as a mature and trusted data business partner.
• Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership.
• Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively.
• Proactive, innovative, and self-driven, with a demonstrated ability to anticipate future needs and lead change initiatives.
• Outstanding communication skills, capable of translating technical concepts for non-technical audiences and fostering cross-functional collaboration.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Analyst, Science, and Strategy/Planning
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Data Science Manager jobs in Wong Chuk Hang, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 1 month ago

Kwun Tong District, Hong Kong SAR 3 months ago

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

Join to apply for the Senior Data Science Manager – Data & AI role at AXA Hong Kong and Macau

2 days ago Be among the first 25 applicants

Join to apply for the Senior Data Science Manager – Data & AI role at AXA Hong Kong and Macau

We are seeking a highly experienced and strategic Senior Data Science & AI Manager to lead our Data & AI Center of Excellence (CoE). Reporting to the Data Science and Management Director, you will oversee a talented team of five data science analysts and act as a core business partner. This role demands a proactive leader with strong technical expertise, excellent stakeholder management, and a proven track record in delivering impactful data and AI solutions that support operational excellence and strategic business needs.

Key Responsibilities

• Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results-driven delivery.
• Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization.
• Drive end-to-end delivery of high-impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth.
• Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools.
• Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval-Augmented Generation) with a proven track record of successful use case implementations.
• Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships.
• Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies.
• Promote best practices in AI, cloud data engineering, and analytics, ensuring high-quality, timely delivery of initiatives while maintaining operational excellence.
• Proactively identify new opportunities for data-driven automation and AI innovation that can create sustainable business value.
  
  

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field.
• 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity.
• Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments.
• Extensive hands-on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering.
• Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact.
• Deep understanding of business processes, with the ability to act as a mature and trusted data business partner.
• Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership.
• Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively.
• Proactive, innovative, and self-driven, with a demonstrated ability to anticipate future needs and lead change initiatives.
• Outstanding communication skills, capable of translating technical concepts for non-technical audiences and fostering cross-functional collaboration.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Data Science Manager jobs in Hong Kong, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 1 month ago

Kwun Tong District, Hong Kong SAR 3 months ago

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