About the Role: We are seeking a highly analytical and strategic thinker to join our team as a Product Data Analyst / Product Manager - AI. This hybrid role is ideal for someone who thrives at the intersection of data, product development, and artificial intelligence. You will play a critical role in shaping AI-driven products by leveraging data insights to inform product strategy, drive innovation, and enhance user experience.
Key Responsibilities:
- Collaborate with cross-functional teams (engineering, data science, UX, and business stakeholders) to define and execute AI product strategies.
- Analyse large datasets to uncover trends, user behaviours, and performance metrics that inform product decisions.
- Translate business requirements into data-driven product features and enhancements.
- Develop and maintain dashboards, reports, and KPIs to monitor product performance and user engagement.
- Conduct A/B testing and experimentation to validate hypotheses and optimise product features.
- Stay current with AI trends, technologies, and best practices to identify opportunities for innovation.
- Own the product roadmap and lifecycle for AI-powered features and tools.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Business, or a related field.
- 3+ years of experience in product management, data analytics, or a related role.
- Strong proficiency in SQL, Python, or R for data analysis.
- Experience working with AI/ML technologies and understanding of model development lifecycle.
- Excellent communication and stakeholder management skills.
- Proven ability to translate complex data into actionable insights and product strategies.
- Familiarity with tools like Tableau, Power BI, Looker, or similar.
Preferred: - Experience in SaaS, e-commerce, fintech, or healthcare industries.
- Background in user research or UX design.
- Knowledge of cloud platforms (AWS, GCP, Azure) and data infrastructure.
Please click "Apply Now" or send your CV directly to Christine.Lau@hays.com.hk or reach out via WhatsApp at +852 6228 4705