发布于 2026-09-04
英文原文
AI转型项目经理(全后台AI变革项目经理)
楽天インサイト株式会社(出向)データソリューションズ部 日本コーポレート統括課:バックオフィスAI変革リード担当(オペレーション/企業価値向上)(A&M)
楽天グループ
| 职种 | 业务运营 | 雇用形态 | — |
|---|---|---|---|
| 工作地点 | 日本(乐天集团) | 薪资 | 面议 |
职位概要
乐天广告与媒体公司旗下乐天Insight等业务,于2024年12月及2026年1月整合重组后,进入在国内外七个国家扩展和转型业务的阶段。日本企业监督部统管人事、劳务、法务、总务、会计、内部控制、风险管理、信息安全等企业职能,现新设岗位,负责统括整个后台业务,并战略性地主导通过AI重新设计业务流程,不仅提升生产力,更提升企业价值。主要职责:约70%为AI转型与业务变革,包括通过访谈识别业务问题、结构化并排定优先级、规划并提出AI改进方案、使用乐天集团指定工具创建并实施AI措施、推动效果验证与改进循环;约30%为后台业务,包括理解并运营治理与合规等后台业务、通过现场业务识别问题并积累知识。应聘者需能“共同思考、尝试、创造”,并愿意运用自身经验。该岗位可积累后台与AI结合的实践经验,接触管理层,输出影响经营决策,并推动全组织变革。
职位描述
Job Description: Business Overview Rakuten's Ad & Media Company offers a wide range of advertising and marketing services, including digital advertising, research, and influencer business. Our strength lies in our ability to provide end-to-end solutions, from marketing strategy planning and execution to effectiveness measurement and data analysis. Specifically, we solve our clients' marketing challenges through the following businesses: - Rakuten Insight: Providing marketing research services - Rakuten Marketing/LinkShare: Providing general digital marketing solutions - Rakuten Data Marketing: Providing marketing solutions utilizing Rakuten's big data This is an environment where you can grow and advance your career by working within an organization that forms the core of the Rakuten Group. Department Overview As people's lifestyles and values become more diverse, the challenges in marketing research are becoming increasingly sophisticated and complex. To respond to these changes and derive deeper, more fundamental insights, we are making combined use of over 100 million pieces of big data connected by the Rakuten Group's shared ID, and our mission is to provide new value throughout the entire marketing process for our customers. Even within the Rakuten Group, expectations are rising for new data businesses that leverage our unique and vast data assets. In December 2024, we will establish Rakuten Insight Inc., Rakuten Insight Global Inc., and Ultra We have restructured our organization to integrate our Minibaito business and build a system for creating even stronger synergies in data utilization. Under this system, we aim to further accelerate the use of AI technology, automate and enhance data analysis, deliver real-time insights, and improve the quality of decision-making support, creating new value that will revolutionize corporate marketing activities. Within this structure, the Japan Corporate Supervisory Section oversees corporate functions across the board, including human resources, labor, legal affairs, general affairs, accounting, internal control, risk management, and information security, and is building a foundation that supports management and the field as an "aggressive corporate" to ensure uninterrupted business growth. Position: Why We Hire The Japan Corporate Supervisory Section's vision is to "improve corporate value from the back office. Following the integration and reorganization of Rakuten Insights, Inc. in December 2024 and January 2026, we are entering a phase of expansion and transformation of our business across seven countries, both domestically and internationally. Therefore, rather than simply adding personnel or resolving labor shortages, we are required to evolve the very structure of our back office through standardization of operations, reproducible AI implementation, and the creation of systems that can be deployed horizontally. We have created a new position to oversee the entire back office and strategically lead efforts to redesign operations through the use of AI, not only improving productivity but also increasing corporate value. We are looking for someone who can "think together, try things out, and create something, precisely because there is no set answer," and who is willing to put their experience to work. Attractive Points Attractive Points in the Business/Organizational Phase (Back-office AI adoption is still in its infancy) - The biggest attraction is the opportunity to create a new standard as a pioneer in back-office AI. - The efforts in this position will be the first success story, potentially spreading throughout the organization and, in some cases, the entire group. Attractive Points of Discretion and Culture - As the AI adoption project leader, you will be able to proactively lead the AI adoption project from on-site interviews to problem-setting, planning, and implementation. - The mission is not simply to improve efficiency; it is to go beyond productivity and pursue "improving business quality" and "creating corporate value." You'll work with a "contribution to the company" perspective. - This position puts you in close contact with management, allowing your output to influence management decisions. Career/Differentiation - Gain practical experience in the highly sought-after back-office/AI combination. - Gain knowledge of AI utilization and process design based on Rakuten Group-designated tools. - Acquire the ability to engage people across the organization and drive change. This position requires deep involvement in system development, including process definition and design philosophy, to achieve a system that can be implemented by anyone and can be expanded to other areas, rather than just achieving temporary efficiency gains. Position Details This position will involve working as an AI transformation project manager to improve productivity and operational quality across the entire back office, thereby increasing corporate value. Specific Duties AI Transformation and Business Transformation (approximately 70%) - Identify operational issues through interviews with other back office staff - Structuring issues and prioritizing them based on the perspective of improving corporate value - Plan and propose improvement measures using AI (improving efficiency and quality) - Create and implement AI measures using Rakuten Group-designated tools - Promote effectiveness verification and improvement cycles Please note that AI initiatives are based on the assumption that the number of target operations, progress, and effectiveness are visualized, and that they are regularly shared and improved through KPIs. Productivity Improvement Furthermore, the impact on operational quality and decision-making quality is also an important factor. Back Office Operations (Approximately 30%) - Understanding and operating back office operations such as governance and compliance - Identifying issues through on-site operations and accumulating knowledge for AI implementation - Collaboration and coordination with related departments Major Stakeholders - Back office staff within the Corporate Management Department - Staff from each department within the department - Management (sharing the direction of AI implementation measures and reporting on their effectiveness) Specific Project Examples - Improved quality and responsiveness through AI-based internal inquiry response, rule confirmation, and FAQs - Improved efficiency and reproducibility of audit trail management and audit response work - Automated training progress management and initial contract and application checks - Preventing omissions through the use of AI in various calculation and reminder tasks Work Environment Organization Structure/Size Rakuten Insight, Inc.: 250 employees Data Solutions Department: 30 employees Japan Corporate Supervisory Section: 8 employees (plus 25 employees as company-shared functions) - Senior Manager: 1 Manager: 1 - Age range: Mainly in their 30sâ40s - Composition: New graduates (20%) / Mid-career hires (80%) Backgrounds of Mid-Career Hires - Our employees have a wide range of backgrounds, including research specialists, sales, and corporate experience. - Each employee brings their own unique value to their current corporate role by incorporating their past experience. Examples of Career Paths of Successful Mid-Career Hires - Future management career as a team leader/group manager - Joined the company as a sales representative and transferred to a corporate position (legal matters) - Transferred from a research specialist position to a corporate position (data privacy) ã Mandatory Qualifications: - Practical experience in business improvement, business planning, or business design (any field) (1+ years) - Experience actively involved in improving business efficiency, automation, and systematization using macros/RPA/generative AI/business tools, etc. - Experience leading cross-departmental projects and business reform initiative