About Hytech
Hytech is a leading fintech company, pioneering innovative financial technology solutions that empower clients to manage their finances with unmatched efficiency, security, and convenience. As a trailblazer in the fintech industry, we are committed to driving digital transformation and redefining the future of finance through our cutting-edge platforms and applications.
With a global team of over 2000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morrocco, Cyprus etc.
About the role
We are looking for a Data Product Manager who combines strong technical understanding with solid business insight. You will be responsible for planning and implementing user behavior data tracking and application systems across the company's business modules. Y
Key Responsibilities
- Plan and manage the company-wide data tracking system, including defining event models, field standards, and data collection processes.
- Coordinate with product and engineering teams to implement tracking projects, ensuring data accuracy, structural consistency, and traceability.
- Design and drive the development of user profiling and tagging systems to enable segmentation and personalized marketing activation.
- Support core data application scenarios such as user analysis, retention analysis, A/B testing, and BI reporting.
- Stay up to date with mainstream data application platforms (e.g., Sensors Data, GrowingIO, Mixpanel, Amplitude), and continuously optimize internal data systems.
- Oversee project timelines and cross-functional collaboration to ensure on-time delivery of data collection and application projects.
Requirements
- Bachelor's degree or above in Computer Science, Information Management, Statistics, or a related field.
- 3+ years of experience in data product or growth product management, with familiarity in tracking systems and event model design.
- Strong understanding of user profiling, tagging systems, segmentation, and marketing automation logic.
- Knowledge of common data analysis and BI architectures, with the ability to collaborate effectively with engineers and analysts.
- Excellent project management and cross-department communication skills.
