What Jobs are available for Data Product 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:

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 works closely with data engineers, analysts, and stakeholders across multiple regions.

Responsibilities

• 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 KPI's (data quality, adoption, business impact).
• Ensure data governance, consistency, privacy, and regulatory compliance.
• Spot AI/ML opportunities and help enable teams with insights they can act on.

Requirements

• 3-5 years in product management, data analytics, or similar roles.
• Strong domain experience in sourcing, inventory management, or logistics (especially product-to-market).
• Good at using BI tools (e.g., Tableau, Looker, Power BI) and working with analytics/dev teams.
• Excellent communicator, comfortable working across geographies (engineering, business, product).
• Self-starter, hands-on, with ownership mindset.

This is a contract role based in Hong Kong.

About Reap

Reap is a global financial technology company headquartered in Hong Kong with employees across multiple countries. We enable financial connectivity and access for businesses worldwide by combining traditional finance with stablecoins for efficient money movement.

Through our stablecoin-powered corporate cards, payments, and expense management tools, we streamline financial operations and help businesses scale. Our APIs enable businesses to integrate stablecoin-enabled finance into their own products and services—from issuing Visa cards to facilitating cross-border payments.

Backed by leading investors including Index Ventures and HashKey Capital, Reap is building the future of borderless, stablecoin-enabled finance.

Role Overview

We are seeking a proactive Senior Data Product Manager to join our team at Reap. This role focuses on driving the development and optimization of data products, with a strong emphasis on finance and operational data. You will work closely with Data, Finance, business teams, and Engineering teams to build scalable, AI-enhanced self-service data solutions that support analytics, forecasting, and cost-saving initiatives. Your expertise in data governance, FX, and predictive modeling will be key to delivering impactful insights and enabling better business decisions.

What You'll Do

• Establish and enforce strong data governance policies, ensuring compliance with PII protection and data privacy standards across all data products.
• Collaborate with data engineers and analysts to design and build scalable, AI-enhanced self-service data tables that empower end users.
• Work on data pipelines by deeply understanding their integration purposes, and develop better use cases for analytical data table builds using existing data assets.
• Apply strong skills in data mapping and standardization to ensure consistent, high-quality data across platforms.
• Translate finance and operational business needs into clear product requirements for analytics, cost saving, churn prediction, and data usability.
• Lead development and deployment of data solutions supporting financial reporting, forecasting, operational efficiency, and cost reduction strategies.
• Leverage FX expertise to integrate foreign exchange data impacts into analytics and decision-making tools.
• Build and leverage AI agents to develop predictive models such as churn prediction and automate the optimization of data structures for enhanced self-service capabilities, reducing dependency on engineering resources.
• Prioritize and manage product features that deliver measurable cost savings, enhance customer retention, and improve data accessibility.
• Ensure ongoing monitoring and auditing of data quality, privacy, and compliance, especially for sensitive financial datasets.
• Use data-driven insights and product metrics to evaluate and continuously improve AI-powered data products.

What We're Looking For:

• You have 3+ years of experience as a data product manager or 5+ years as a data analyst.
• Strong understanding of data architecture, data pipeline design, and ETL processes.
• Proficiency in data analysis and visualization tools (e.g., SQL, Python, Tableau, Power BI).
• Experience in defining product requirements and translating business needs into technical specs for data products.
• Knowledge of AI/ML concepts and experience leveraging AI agents or automation tools to build and optimize data solutions.
• Familiarity with data governance frameworks, PII compliance, and data privacy regulations.
• Understanding of finance and operational data domains, including FX.
• Skills in data mapping, standardization, and metadata management to ensure data consistency and quality.
• Experience working with cross-functional teams, including data engineering, ML engineers, and analysts.
• Ability to prioritize features based on business impact and drive measurable cost savings or efficiency gains.
• Strong communication skills to convey technical concepts and product updates effectively to diverse stakeholders.

After submitting your application, please check your inbox for a confirmation email. If you don't see it, kindly check your spam or junk folder and adjust your settings to ensure future communication reaches your inbox. You can follow the steps here.

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

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.

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.

Pinpoint Asia
is partnering with a leading global firm on a major digital transformation journey. We are seeking an innovative and hands-on Director to build and lead a new Center of Excellence (CoE) focused on customer data strategy across Asia.

This is a unique opportunity to shape the future of digital customer engagement for a major multinational corporation. You will be the central expert, responsible for architecting the strategy and leading the team that unlocks the power of customer data to create personalized experiences and drive business growth.

What You'll Do

• Architect & Lead:
  Spearhead the Asia-wide implementation and operation of a cutting-edge
  Customer Data Platform (CDP)
  , with a strong focus on the
  Adobe Experience Platform (AEP).
• Build the Team:
  Establish and manage a high-performing Center of Excellence, developing your team's capabilities and creating a culture of data-driven excellence.
• Drive Strategy & Adoption:
  Translate business goals into a technical roadmap. Act as the key subject matter expert, championing the platform's capabilities to business leaders and training marketing teams to drive adoption.
• Activate Data:
  Oversee the creation of customer segments and personalized journeys, activating them across various digital channels to improve engagement and achieve commercial targets.
• Collaborate & Influence:
  Serve as the primary partner for stakeholders across marketing, data, and technology teams in multiple markets, ensuring the successful delivery of data-driven initiatives.

Who You Are

• An Expert in Customer Data Platforms:
  You have 8+ years of deep, hands-on experience with technical data management and digital engagement platforms.
• A Proven Adobe Specialist:
  You possess expert-level knowledge of the
  Adobe Experience Platform (AEP)
  and its related tools (AJO, Target, Analytics, etc.). Experience with other CDPs like Segment or Tealium is a plus.
• A Natural Leader:
  You have a strong track record of building and leading technical teams, preferably within a CoE model.
• A Strategic Partner:
  You excel at translating complex business needs into clear technical requirements and can effectively communicate the value of technology to non-technical stakeholders.
• An Asia-Pacific Veteran:
  You have successfully navigated large, complex matrix organizations across various markets in Asia.