Updated on 10 Nov 2025
Updated on 10 Nov 2025
Updated on 10 Nov 2025
Updated on 10 Nov 2025
Updated on 10 Nov 2025
Key Responsibilities
Data Product Strategy Formulation and Promotion:
- Collaborate with internal and external stakeholders to define product vision and strategy. Ensure alignment with organizational and business goals, and powerfully drive their realization
- Formulate comprehensive catalog data strategies, maximizing the value of data products through optimization of operations, systems, and utilization methods
- Proactively identify data-related business challenges and execute strategic solutions. Maintain continuous improvement of catalog data and its alignment with strategic objectives
Execution Management and Quality Assurance:
- Collaborate with global teams, including those in Japan, China, and India, to formulate and promote common goals and execution plans for catalog data management and utilization
- Establish and enforce best practices and standards for data generation processes, ensuring data accuracy, reliability, and comprehensiveness
- Develop and manage Key Performance Indicators (KPIs) to visualize performance. Support data-driven decision-making and continuous improvement cycles
- Lead projects for data quality improvement and utilization expansion, pursuing business contributions
Cross-functional Collaboration:
- Efficiently collaborate with relevant parties (including offshore teams) to maximize team performance towards achieving product goals
- Smoothly coordinate collaboration between business divisions and development divisions. Lead catalog data-related projects and product improvements to success.
Mandatory Qualifications:
Proven Success in Data Product Leadership:
- 5+ years of experience in product management or related fields, with a demonstrated track record of leading data products from strategy and launch through growth, and achieving tangible results
Deep Understanding of Data & Business:
- Experience in solving complex business challenges and creating new value through data extraction, analysis, and insights
- Ability to understand complex data and systems, translating them into impactful business outcomes
Strategic Thinking and Execution Capability:
- Proven track record of independently formulating strategies even in uncertain situations, engaging teams and stakeholders, and powerfully driving projects towards goal achievement
- Project management capability and KPI management skills based on business, customer, and operational metrics
Leadership in Driving Change:
- Proven ability to develop strategies, mobilize teams and stakeholders, and effectively drive projects towards goal achievement, even in ambiguous or uncertain environments
Global Collaboration & Communication:
- Demonstrated ability to work effectively with multicultural teams with high proficiency in both Japanese and English, enabling seamless cross-functional collaboration and effective stakeholder management in a diverse, global setting
Desired Qualifications:
Deep Data Management Expertise:
- Solid understanding and practical experience in data modeling, analysis, and quality
Knowledge System Experience:
- Practical experience with Information Architecture, ontologies, taxonomies, or similar knowledge organization systems
Domain-Specific Data Insight:
- Experience in data analysis or design within E-commerce, Internet Services, or Advertising
Translating Business to Data:
- Ability to convert business needs into actionable data strategies and requirements
AI/ML/LLM Application:
- Experience applying AI, ML, or LLM solutions for operational or product improvements
Strong Analytical Tool Skills:
- Proficiency in analytical tools and languages like SQL, Python, or R
Business-Driven Development Leadership:
- Experience leading development balancing technical execution with strategic business impact