Product/Business Development (RakutenData Product) - Ad & Media Solutions Section Data Solutions Department, Marketing Solutions Business（C&M）

📌 Core Information - Job Title: Product/Business Development (RakutenData Product) - Ad & Media Solutions Section, Data Solutions Department, Marketing Solutions Business (C&M) - Company: Rakuten - Location: Tokyo, Japan (Futako Tamagawa Rise Office) - Job Type: Full-Time - Category: Business Development, Product Management - Date Posted: May 8, 2025 - Experience Level: Mid-Level (2-5 years) - Remote Status: On-site 🚀 Job Overview Key aspects of this role include: - Developing new data business using Rakuten's unique data assets - Collaborating with internal and external services to explore business opportunities - Planning and executing project roadmaps for new business - Managing project progress and coordinating with stakeholders ASSUMPTION: This role requires a strong background in project management and business development, with a focus on data-driven initiatives. 📋 Key Responsibilities - Product and Business Development: - Research and explore business opportunities in collaboration with Rakuten's internal and external services - Plan and execute project roadmaps for new business - Manage project progress, including progress management, scope definition, and quality control - Coordinate with internal and external stakeholders - Reporting to Executive Management: - Create materials for discussion and reporting ASSUMPTION: This role involves a high degree of autonomy and requires strong initiative and decision-making skills. 🎯 Required Qualifications - Education: Bachelor's degree in Business, Marketing, or a related field (or equivalent experience) - Experience: 2-5 years of experience in project management, business development, or a related role - Required Skills: - Proven experience in project management, including cost and schedule coordination and quality control - Strong hypothetical thinking and goal-oriented mindset - Excellent communication and negotiation skills - High interest in data business using Rakuten data and the latest technology trends - Preferred Skills: - Experience in business development, planning, and strategic positions - Experience in alliance development with external partners - Interest in product development using AI - Advanced business level Japanese (TOEIC score exceeding 800 or equivalent) ASSUMPTION: Given Rakuten's global presence, proficiency in English is highly desirable for this role. 💰 Compensation & Benefits - Salary Range: ¥7,000,000 - ¥10,000,000 per year (Based on experience and market standards for mid-level business development roles in Tokyo) - Benefits: Comprehensive benefits package, including health insurance, retirement plans, and performance-based bonuses - Working Hours: Full-time position with standard Japanese working hours (9:00 AM - 5:45 PM, Monday - Friday) ASSUMPTION: Rakuten offers competitive compensation packages and benefits to attract top talent in the industry. 📌 Applicant Insights 🔍 Company Context - Industry: Rakuten operates in the e-commerce, fintech, digital content, and communications sectors, with a strong focus on data-driven services - Company Size: Rakuten is a large, global organization with over 10,000 employees - Founded: 1997, in Tokyo, Japan - Company Description: Rakuten Group, Inc. is a global technology leader in services that empower individuals, communities, businesses, and society. It offers services in e-commerce, fintech, digital content, and communications to over 1.9 billion members worldwide. - Company Specialties: E-commerce, fintech, digital content, communications, and artificial intelligence 📊 Role Analysis - Career Level: Mid-level business development role with opportunities for growth and career advancement - Reporting Structure: Reports directly to executive management within the Marketing Solutions Business (C&M) department - Work Arrangement: On-site, full-time position with opportunities for collaboration with internal and external stakeholders - Growth Opportunities: Potential for career progression within Rakuten's diverse business portfolio and global operations ASSUMPTION: This role offers a unique opportunity to work on cutting-edge data-driven projects and collaborate with various internal and external stakeholders. 🌍 Location & Work Environment - Office Type: Modern, collaborative workspace at the Futako Tamagawa Rise Office in Tokyo - Office Location(s): Futako Tamagawa Rise Office, Tokyo, Japan - Geographic Context: Tokyo offers a vibrant, multicultural environment with a high cost of living and excellent public transportation - Work Schedule: Standard Japanese working hours with opportunities for flexible work arrangements based on project needs ASSUMPTION: Tokyo provides a dynamic and innovative environment for professionals in the tech and data industries. 💼 Interview & Application Insights - Typical Process: Online application review → Phone/Video screening → On-site interviews with relevant stakeholders → Final decision - Key Assessment Areas: Problem-solving skills, communication and negotiation abilities, cultural fit, and relevant experience in business development and project management - Application Tips: - Tailor your resume and cover letter to highlight your relevant experience and skills - Prepare examples of your past projects and achievements in business development and project management - Research Rakuten's business and industry to demonstrate your understanding of the company and its goals ATS Keywords: Business development, project management, data business, Rakuten data, AI, strategic planning, stakeholder coordination, product development ASSUMPTION: Rakuten uses Applicant Tracking Systems (ATS) to filter and manage job applications, so including relevant keywords in your resume can improve your chances of being selected for an interview. 🛠️ Tools & Technologies - Project management tools (e.g., Asana, JIRA, Trello) - Data analysis and visualization tools (e.g., Tableau, Power BI) - Collaboration and communication tools (e.g., Slack, Microsoft Teams) - AI and machine learning tools (e.g., Python, R, TensorFlow) ASSUMPTION: Familiarity with relevant project management, data analysis, and collaboration tools is essential for success in this role. 👔 Cultural Fit Considerations - Company Values: Innovation, Empowerment, Integrity, and Passion - Work Style: Collaborative, data-driven, and results-oriented - Self-Assessment Questions: - How do you align with Rakuten's core values, and how have you demonstrated these values in your past experiences? - How comfortable are you working in a dynamic, fast-paced environment with diverse stakeholders? - How does your personal work style fit with Rakuten's collaborative and data-driven approach? ASSUMPTION: Rakuten values employees who embody their core values and can thrive in a collaborative, data-driven work environment. ⚠️ Potential Challenges - Role-specific: Balancing multiple projects and priorities while maintaining strong communication and coordination with stakeholders - Company-specific: Navigating a large, global organization with diverse business units and priorities - Industry-specific: Keeping up with the latest trends and developments in data-driven business and AI - Location-specific: Adapting to the high cost of living and fast-paced environment in Tokyo ASSUMPTION: Addressing these challenges proactively and demonstrating resilience will be essential for success in this role. 📈 Similar Roles Comparison - Role-specific: This role focuses on data-driven business development, whereas similar roles in other companies may focus on more traditional business development or product management - Industry-specific: Rakuten's unique data assets and global presence set this role apart from similar positions in other companies - Career path comparison: This role offers opportunities for growth and career advancement within Rakuten's diverse business portfolio and global operations ASSUMPTION: Understanding the unique aspects of this role and how it compares to similar positions in other companies can help applicants tailor their applications and prepare for interviews. 📝 Sample Projects - Developing a new data-driven product using Rakuten's unique data assets to address a specific market need - Collaborating with external partners to create a joint venture or strategic alliance focused on data-driven business - Managing a project to integrate data from multiple sources and create a comprehensive data platform for internal and external stakeholders ASSUMPTION: Applicants should be prepared to discuss their past projects and achievements in business development and project management, with a focus on data-driven initiatives. ❓ Key Questions to Ask During Interview - How does this role fit into Rakuten's overall strategy for data-driven business and AI? - What are the most pressing challenges facing the team currently, and how can this role address them? - How does Rakuten support the professional development and growth of its employees in this role? - What are the key performance indicators (KPIs) for success in this role, and how will progress be measured? - How does Rakuten foster a culture of innovation and collaboration, and how can this role contribute to that culture? ASSUMPTION: Asking thoughtful, insightful questions during the interview process can demonstrate your interest in the role and help you better understand the company and its goals. 📌 Next Steps for Applicants To apply for this position: - Submit your application through the provided link: - Tailor your resume and cover letter to highlight your relevant experience and skills - Prepare examples of your past projects and achievements in business development and project management - Research Rakuten's business and industry to demonstrate your understanding of the company and its goals - Follow up with a polite email one week after submitting your application, reiterating your interest in the role and inquiring about the status of your application ⚠️ Disclaimer: This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.