17 Data Product jobs in Hong Kong

Key Responsibilities:

• Define and own the vision, roadmap, and backlog for data products supporting life insurance functions.
• Collaborate with business stakeholders (underwriting, actuarial, marketing, compliance) to identify data needs and translate them into clear product requirements.
• Partner with data engineers, data scientists, and IT teams to develop scalable, high-quality data solutions (data pipelines, dashboards, analytics platforms).
• Prioritize features and enhancements based on business impact, user feedback, and resource availability.
• Ensure data products comply with internal governance policies and external regulatory requirements.
• Monitor product performance, data quality, and user adoption; use metrics to drive continuous improvement.
• Facilitate Agile ceremonies including sprint planning, backlog refinement, and demos with cross-functional teams.
• Keep abreast of advancements in data technology, analytics, and insurance industry trends to inform product innovation.
• Communicate product status, risks, and opportunities effectively to stakeholders and leadership.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Business, or related field.
• 10 years+ of total experience, with min 3 years in product management,. Must have Life Insurance Experience.
• Strong understanding of data architecture, ETL pipelines, data visualization, and analytics tools.
• Familiarity with life insurance domain, including underwriting, actuarial workflows, or claims processes is highly desirable.
• Experience working in Agile environments and managing product backlogs effectively.
• Excellent communication and stakeholder management skills, with the ability to translate complex data topics into business value.
• Detail-oriented with strong analytical and problem-solving abilities.
• Knowledge of data governance, privacy regulations, and compliance standards relevant to insurance is a plus.

"Sanderson-iKas" is the brand name for the following companies incorporated in Hong Kong: Sanderson Solutions International (Hong Kong) Limited (Business Registration no and iKas International (Asia) Limited (Business Registration no

Website:

We are supporting our client - A Prominent Finance Firm, seeking a dynamic and driven Data Product Manager to lead the development, commercialization, and client engagement strategy for our Market Data offerings, including the flagship Market Data platform. This role is pivotal in shaping and selling our raw market data and curated data product catalogue to external clients across the financial ecosystem.

You will work closely with cross-functional teams—technology, sales, marketing, and operations—to ensure our data products meet client needs, regulatory standards, and strategic business goals.

Key Responsibilities

• Product Ownership: Lead the end-to-end lifecycle of market data products, from ideation and development to launch and ongoing enhancement.
• Client Engagement: Act as the primary liaison for external market clients, understanding their data needs and translating them into product features and solutions.
• Commercial Strategy: Develop and execute go-to-market strategies for raw market data and data catalogue offerings, including pricing, packaging, and positioning.
• Cross-Functional Collaboration: Partner with technology teams to deliver solutions using both waterfall and agile methodologies.
• Analytics & Insights: Use data-driven insights to inform product decisions, track performance, and identify growth opportunities.
• Documentation & Presentation: Prepare compelling presentations, product documentation, and client-facing materials using Microsoft PowerPoint, Excel, and Word.

Must-Have Skills & Qualifications

• Proven experience in product or project management, particularly in technology development and delivery.
• Strong analytical and problem-solving skills, with the ability to translate complex data concepts into actionable strategies.
• Excellent communication and presentation skills, comfortable engaging with both technical and non-technical stakeholders.
• Proficiency in Microsoft PowerPoint, Excel, and Word.
• Experience working with market data platforms or financial data products is highly desirable.
• Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
• Background in financial services, capital markets, or data commercialization.
• Experience with financial operational and technology risk management, data regulation, and compliance is a plus
• Exposure to external client management, particularly in B2B data sales.

Overview

A global retail/consumer goods organization is looking for a Data Product Manager to lead data-product work in sourcing, logistics, and inventory. This role reports into senior leadership and collaborates with data engineers, analysts, and stakeholders across multiple regions.

• Define and own the roadmap for data & analytics products tied to sourcing, inventory, and supply chain.
• Partner with business leads, engineers, and analysts to gather real-use cases and translate them into clear data product requirements.
• Build, track, and measure data models, pipelines, and KPIs (data quality, adoption, business impact).
• Ensure data governance, consistency, privacy, and regulatory compliance.
• Identify AI/ML opportunities and help enable teams with actionable insights.

• 3-5 years in product management, data analytics, or similar roles.
• Strong domain experience in sourcing, inventory management, or logistics (especially product-to-market).
• Proficiency with BI tools (e.g., Tableau, Looker, Power BI) and collaboration with analytics/dev teams.
• Self-starter, hands-on, with an ownership mindset.

This is a contract role based in Hong Kong.

• Mid-Senior level

• Contract

• Consulting

• IT Services and IT Consulting and Business Consulting and Services

A global retail/consumer goods organization is looking for a Data Product Manager to lead data-product work in sourcing, logistics, and inventory. This role reports into senior leadership and collaborates with data engineers, analysts, and stakeholders across multiple regions.

• Define and own the roadmap for data & analytics products tied to sourcing, inventory, and supply chain.
• Partner with business leads, engineers, and analysts to gather real-use cases and translate them into clear data product requirements.
• Build, track, and measure data models, pipelines, and KPIs (data quality, adoption, business impact).
• Ensure data governance, consistency, privacy, and regulatory compliance.
• Identify AI/ML opportunities and help enable teams with actionable insights.

• 3-5 years in product management, data analytics, or similar roles.
• Strong domain experience in sourcing, inventory management, or logistics (especially product-to-market).
• Proficiency with BI tools (e.g., Tableau, Looker, Power BI) and collaboration with analytics/dev teams.
• Self-starter, hands-on, with an ownership mindset.

This is a contract role based in Hong Kong.

• Mid-Senior level

• Contract

• Consulting

• IT Services and IT Consulting and Business Consulting and Services

DFI Retail Group
(the 'Group') is a leading pan-Asian retailer. At 31st December 2021, the Group and its associates and joint ventures operated over 10,200 outlets and employed some 230,000 people. The Group had total annual sales in 2021 exceeding US$27 billion.

The Group (including associates and joint ventures) operates under several well-known brands across food, health and beauty, home furnishings, restaurants, and other retailing. DFI digital is a new entity by DFI retail group to provide more advanced online shopping experience. The ecommerce platform includes all the ventures and bring it together under one hat. The Group provides quality and value to Asian consumers by offering leading brands, a compelling retail experience and great service; all delivered through a strong store network supported by efficient supply chains.

Headquarters in Hong Kong,
DFI Digital
was set up to innovate and optimize our customer's experience through digital transformation. Our customers start with our very own employees, as we believe that talents are core to an organization's success.

As the DFIQ – Data Product Assistant Manager, you will play a pivotal role in bridging the gap between business needs and technology solutions for our Vendor Portal project, focusing on data sharing with vendors.

You will collaborate with internal stakeholders and vendors to develop data solutions, define business requirements, work closely with data engineering teams, test the product, and provide inputs on UI/UX to ensure successful implementation of the Vendor Portal's data-sharing capabilities. This role requires comfort in navigating and thriving within a complex matrix organization.

Is this your next challenge in Digital Commerce?

• Collaborate with internal stakeholders and vendors to identify data-sharing opportunities, focusing on actionable reports and datasets. Develop and document Business Requirements Documents (BRDs) and Product Requirements Documents (PRDs) to define data-sharing solutions, ensuring alignment with business objectives and vendor needs.
• Create and maintain comprehensive documentation, including product requirements documents (PRDs), user stories, data models, report specifications, and process flows, to guide the development of monetized data products.
• Review and validate technical specifications to ensure they meet business requirements and support seamless data integration with data lake.
• Work closely with internal data engineering teams to facilitate data sourcing, ensuring the availability, quality, and security of data for sharing with vendors.
• Conduct testing to ensure the Vendor Portal's data-sharing features meet quality standards, are user-friendly, and fulfil business and vendor requirements.
• Plan and execute data migration strategies for data insights and B2B ERP functionalities, including data mapping, transformation, and validation to ensure data integrity.
• Provide inputs on UI/UX design for the Vendor Portal, ensuring intuitive, user-friendly interfaces for data-sharing features, such as dashboards, report visualizations, and data access controls, tailored to vendor needs.

Do you have experience as a Product Manager?

• Bachelor's degree in Data Science, Business Analytics, Computer Science, Business Administration, or a related field. Advanced degrees or certifications (e.g., CBAP, PMP, or data analytics certifications) are a plus.
• 4+ years of experience of product experience, data consulting, Business Analyst, Data Analyst, or similar role, with a focus on data-sharing solutions, analytics, or reporting in a retail, ecommerce context.
• Proven success in defining and launching data-driven products, such as reports or analytics solutions, for external stakeholders like suppliers.
• Excellent analytical, problem-solving, and critical thinking skills, with the ability to analyze complex business processes and technical requirements.
• Proficiency in requirements elicitation techniques, such as interviews, workshops, surveys, and focus groups, with a focus on gathering requirements.
• Ability to create clear and concise documentation, including business requirements documents, user stories, use cases, and process flows.
• Comfortable working in a complex matrix organization, with the ability to navigate multiple reporting lines, cross-functional teams, and diverse stakeholder groups.
• Strong proficiency in Excel for data analysis, mapping, and validation during migration and reporting processes.
• Excellent in spoken and written English and/or Chinese.
• Consulting experience in a professional services environment is highly preferred.

DFI Retail Group is an equal opportunity employer and responsible for ensuring that all personal information collected from each Candidate presented to DFI Retail Group is used for recruitment purposes only and the personal data will be kept and handled confidentially. We will retain the applications of candidates not selected for a period of no more than 24 months. The data collection process is in accordance with all applicable laws and compliant with the Code of Practice on Human Resource Management.

To find out more about Our Businesses and Our People, please visit our website:

Issued by The Dairy Farm Company, Limited

OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.

Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About The Opportunity
OKX CEO Office's Data Product team is seeking a Senior Data Product Manager who is responsible for both internal data services as well as data requests from various business lines, and eventually improving the efficiency and experience of data users company-wide.

What You'll Be Doing

• BI Tools & Event Tracking Platform Ownership
• Lead the end-to-end management of internal BI tools and event tracking systems, ensuring high availability, performance, and scalability.
• Build seamless collaboration processes with data engineers, infra teams, and cross-functional stakeholders to deliver robust data product based on the requirements.
• Continuously improve internal data consumption efficiency, reduce technical overhead, and increase autonomy for data users.
• Metrics Platform & Governance
• Drive the development and adoption of an internal metrics platform that standardizes and centralizes core metrics.
• Champion the definition, ownership, and lifecycle management of metrics to ensure consistency, transparency, and trust across the company.
• Promote the usage of official metrics by increasing visibility, documentation, and integration into internal dashboards and workflows.
• Resolve common issues such as metric fragmentation, inconsistent definitions, and complex queries that hinder decision-making.
• DataMart Development & Stewardship
• Own the product strategy and roadmap for DataMart construction—ensuring curated, high-quality datasets are tailored to key business domains.
• Define clear standards for DataMart ownership, documentation, and lifecycle management, working closely with data engineering and business data owners.

What We Look For In You

• At least 5 years in data-related fields or product management fields, familiar with data warehouses, data applications, data analytics tools and so on.
• Demonstrated project management skills, with the ability to handle multiple projects simultaneously and meet deadlines consistently.
• Excellent communication and interpersonal skills, with a proven ability to collaborate effectively with diverse teams and stakeholders.
• Business proficiency in Mandarin Chinese would be necessary to converse with mandarin-speaking stakeholders based in other markets.
• Strong problem-solving abilities, capable of navigating complex technical challenges in a rapidly evolving environment.
• High level of responsibility, strong ownership and resilience under pressure.

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

As a Data Product Owner/Manager, you will oversee the development and implementation of data-focused solutions within the insurance industry. Your role will involve bridging the gap between technical teams and business stakeholders to achieve strategic goals.

Client Details

This opportunity is with a large organization in the insurance industry, known for its robust presence and innovative solutions. The company operates within a structured environment, focusing on delivering top-tier services through its dedicated technology department.

Description

As a Data Product Owner/Manager, your main responsibilities will include:

• Lead the data team in transitioning from BAU operations to strategic initiatives that align with customer strategy, proposition, and partnership distribution.
• Liaise with various departments and external partners to identify quick wins and develop long-term strategies for data utilization.
• Spearhead the process of enhancing data-related roles across the organization, ensuring alignment with business objectives and maximizing revenue opportunities.
• Define priorities and mobilize teams to drive impactful data initiatives, securing necessary approvals and resources.
• Effectively navigate the corporate directory to influence stakeholders and promote data-driven decision-making within the organization.

Profile

A successful Data Product Owner/Manager should have:

• Proven experience in a product ownership or strategic role, preferably within a data-focused environment.
• Strong understanding of business strategy and the ability to translate data insights into actionable business initiatives.
• Excellent interpersonal and communication skills, with the ability to engage and influence a diverse range of stakeholders.
• Ability to identify challenges and opportunities within data operations and propose innovative solutions.
• Demonstrated experience in working collaboratively with cross-functional teams to drive strategic initiatives.

Job Offer

• Renewable contract offering job stability.
• Opportunities to work on innovative projects within the insurance industry.
• Collaborative and professional work environment.
• Access to cutting-edge tools and technologies in the technology department.

If you are ready to take on an impactful role in the insurance industry, we encourage you to apply today

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

In this role, you will take ownership of defining, as well as strategically and resourcefully sourcing, the data necessary to develop and enhance our Automatic Speech Recognition (ASR) models across various languages. You will collaborate closely with customers, partners, and cross-functional teams to ensure the timely delivery of the data required for model development. As the position evolves, your responsibilities will expand to include product management for our ASR offerings and a broader range of speech AI products, encompassing models, features, and APIs.

Responsibilities

1. Collaborate with the ASR Product Manager, Data Team, and Model Tester to conduct data research and find ways to
   iteratively deliver data
   for new and existing languages and use cases.
2. Work closely with enterprise customers, the Go-to-Market Team, and Research Team to understand and translate customer needs into
   defining the right data
   for building effective ASR models.
3. Build relationships and collaborate closely with enterprise customers to enable them to
   provide data
   for model enhancement.
4. Partner with the Product Team to develop features across various products and proactively come up with methods to enable the customers to
   provide data to us compliantly, effectively and effortlessly
   .
5. Work closely with the Data Team to
   find and/or create data
   on time, meeting required volume and other data requirements within budget.
6. Collaborate with the Data Team to
   source and train
   vendors and freelancers for data collection projects.
7. Serve as the key spokesperson of our company's
   data ethics
   to educate the market and gain trust on our ethics and practices in ensuring data security.

Please use "DS_" as the prefix in your resume's filename. For example, if your resume's filename is "Resume_First Name Surname", please modify it to "DS_Resume_First Name Surname".

Qualifications

Experiences

1. Bachelor's Degree or above, preferably in disciplines related to business, linguistics, data, engineering, or AI.
2. 2+ years of experience in the technology industry, preferably in AI companies with speech recognition technologies.

Skills

1. Good command of written and spoken English; proficiency in other languages is a plus.
2. Internationally-minded and presentable to people from diverse backgrounds and cultures.
3. Resourceful and creative problem solver; resilient and willing to tackle challenging data sourcing projects.
4. Quick learner, open to new concepts and technologies, and not afraid of learning new things.
5. Detail-oriented while maintaining a big-picture perspective.
6. Capable of planning, executing, and delivering high-quality data sourcing projects on time and within budget.
7. Strong prioritization skills and able to multitask effectively.
8. Willing to work on-site or travel as needed.
9. Able to work both independently and collaboratively with colleagues across different teams and locations.
10. Able to work effectively in a fast-paced and dynamic environment.

Competencies

1. Ownership: Taking responsibility for tasks and outcomes.
2. Entrepreneurial Mindset: Approaching challenges and ambiguity with agency and creativity.
3. Deliver Results: Consistently achieving goals and objectives.
4. Integrity: Upholding ethical principles and honesty in all actions.
5. Reliability: Being dependable and consistent in meeting commitments.

Preferred Qualifications

1. Proficiency in additional languages.
2. Experience in sourcing data for speech recognition, particularly in languages you may not understand, along with reviewing and negotiating data purchasing agreements.
3. Experience in or knowledge of the Financial Services Industry.
4. Experience in sourcing, recruiting, and training vendors and freelancers.

If you don't meet some of the above requirements yet but truly agree with the importance of them and set up your mind to acquire them, we also welcome you to apply.

What We Offer

1. Exceptional growth opportunities in a fast-growing B2B AI software company.
2. Flexible working hours.
3. Hybrid work schedules.
4. Competitive compensation package.
5. Learning budget for work-related courses and professional development.
6. Customer-centric, agile, results-driven, and open culture.
7. Transparency, trust, and ownership.

Responsibilities:

• Conduct in-depth data analysis on business metrics, including product performance, customer behavior, loan repayment trends, and operational efficiency, using data to identify trends, anomalies, and growth opportunities.
• Develop and automate reports and dashboards (e.g., via Power BI or Quicksight) to visualize key insights, such as financing product adoption rates, risk assessments, and market fit for cross-border e-commerce and SME clients.
• Monitor fintech market trends, regulatory news, and competitor data to generate predictive insights for strategy adjustments, including forecasting loan demand and customer churn.
• Collaborate with cross-functional teams to gather data requirements, ensure data quality, and perform ad-hoc analyses for product enhancements.
• Apply statistical methods and basic machine learning techniques to analyze datasets, track KPIs like loan approval rates and default probabilities, and support data-driven decision-making.
• Transform raw market and internal data into actionable materials, such as trend reports or scenario models, to guide product iterations, operational improvements, and financing strategy.
• Perform root-cause analysis on product issues and provide recommendations based on data evidence to optimize supply chain financing offerings.

Requirements:

• Bachelor's degree in Business, Finance, Data Science, Statistics, or a related field. Certifications like CFA, FRM, or data analytics credentials (e.g., Google Data Analytics) are a plus.
• At least one year of relevant experience in data analytics, product analysis, or a similar role, preferably in fintech, banking, or e-commerce. Candidate with more experience will be considered as senior position.
• Proficiency in Excel for advanced data manipulation, with hands-on experience in BI tools (e.g., Power BI, Quicksight), data querying, ETL processes, and analysis.
• Proficiency in Cantonese, Mandarin, and English.
• Exceptional analytical and problem-solving skills, with strong logical thinking, statistical knowledge, and the ability to handle large datasets for insightful interpretations.
• Basic understanding of finance products (e.g., business loans, supply chain financing) and core finance concepts, with a keen eye for detail in data accuracy and trend spotting.
• Market acumen to interpret data, news, and economic trends for business impact in cross-border e-commerce and SME sectors.
• Effective communication and teamwork skills for collaborating across departments and presenting data insights to stakeholders.

Benefits:

• 5-Day Work Week
• Flexible Working Hours
• Discretionary Performance Bonus
• Annual Leave & Birthday Leave
• Medical & Dental Insurance Coverage