■Recruitment Background
“Changing clothes, changing common sense, changing the world.” This is the Fast Retailing Group’s mission statement. Through “clothing”—an indispensable part of people’s lives around the world—we aim to become the world’s most needed and beloved brand. Under the LifeWear concept, we utilize an integrated process spanning from material sourcing to planning, production, and sales to offer unique products made with high-quality and functional materials at prices accessible to everyone.Our revenue has reached 3 trillion yen in the 40 years since our founding, and we have set a long-term goal of 10 trillion yen in revenue. This does not mean that revenue growth is an end in itself; rather, it reflects our commitment to providing the highest level of service our customers seek and becoming a company that improves society as we grow. We view the current period of transformation as our “Fourth Founding,” and one of the drivers of this transformation is the utilization of technology.
To carry out such disruptive transformations and achieve dramatic business growth on a global scale, it is essential to automate and enhance business operations by introducing intelligent systems that fuse vast amounts of data with the power of science. For this position, we are seeking a Project Manager (AI and Data Science) to lead the utilization of data analysis and data science, which are at the core of these efforts.

■ Department Overview
The Digital Business Transformation Services Department, to which you will be assigned, has a mission to envision the “ideal state” of business operations from the customer’s perspective and to lead business transformation using the latest digital technologies. We are accelerating the in-house development of e-commerce and store systems, core supply chain systems, and the AI algorithms integrated into them. A diverse team of specialists—including project managers, business analysts, in-house development engineers, data scientists, and UI/UX designers—collaborates closely with business divisions.
The Project Manager in this role will drive projects in close collaboration with specialized professionals—such as data scientists and engineers—and work as an integrated part of the IT teams in each business domain. You will be expected to lead projects end-to-end—from defining data challenges to developing and implementing models and systems, and ensuring their successful adoption in operations—while leveraging the company-wide centralized data platform and cutting-edge cloud technologies to drive business transformation across the entire group.

■Job Description
As a project manager for AI and data science-related projects, you will drive the following series of tasks:
・Defining Data Challenges: You will collaborate with business units to gain a deep understanding of business processes and define the challenges to be addressed through data science.
・Analysis & Model Design and Development: You will select the appropriate approach—such as statistical analysis, machine learning, mathematical optimization, or generative AI—to design, implement, and validate highly accurate and business-relevant models. You will also collect and preprocess data as needed.
・Implementation of Results into Operations: Using your data science expertise, you will present proposals for operational improvements to relevant stakeholders based on the results obtained, and guide the process through implementation to the delivery of tangible outcomes. You will also implement models into operational systems to embed the results of data science into business processes.

*The Job Description is subject to change within the scope of duties related to each department of the headquarters due to departmental transfers or organizational changes.

■ Career Path
Upon joining the company, you will start on a project where you can best utilize your skills, taking into account your experience and preferences. Furthermore, the following career paths are available:
・As a project manager, you can deepen your expertise while gaining broad domain knowledge by working on projects across various business areas and themes.
・For those interested in taking on team management challenges, you will gradually expand your leadership responsibilities and may eventually lead the organization as a team manager.
・There are also opportunities to transfer to different teams within the IT department or to business divisions with which we collaborate (such as product planning, production, logistics, and marketing). Depending on your preferences and aptitude, you can open up new career paths in different fields while leveraging your experience managing data science projects.

■ Required Experience, Skills, and Abilities
・At least 3 years of experience driving projects in the IT field
・Experience participating in project teams in the AI/data science field as a project manager or team member
・Experience solving customer or user challenges through projects
・Experience coordinating and building consensus in an environment involving stakeholders both within and outside the team
・Experience driving projects while managing schedules, scope, and risks
・Experience in continuously improving and successfully integrating released systems or deliverables into daily operations

■ Desirable Experience, Skills, and Abilities
・Professional certifications in project management, such as Project Management Professional (PMP)
・Experience in data analysis and project management, as well as business knowledge, in the retail, apparel, or supply chain sectors
・Experience designing projects that take ROI and technical feasibility into account, and securing budgets and resources after reaching consensus with executive management and business departments
・Experience implementing and utilizing generative AI and agent technologies in actual business systems
・Experience integrating cutting-edge analytical models and algorithms into actual business systems, including involvement in operations and effectiveness verification
・Communication skills to clearly explain the outcomes, limitations, and risks of data science to business unit stakeholders and senior management
・Experience collaborating with international team members or studying abroad

■Company Name
Fast Retailing Co., Ltd.

■Employment Type
Full-time employee (permanent position, with a 3-month probationary period)

■Annual Salary
・Annual Salary Range: 8 million to 20 million yen (Monthly Salary: 500,000 to 1.1 million yen)
・Allowances: Commuting allowance, overtime pay, etc. (*All subject to company regulations)
・Bonuses: Semi-annual bonuses twice a year, year-end bonus (eligibility and amount determined based on company performance and performance evaluations)
・Promotions twice a year (determined based on performance evaluations)
*Salary will be determined based on company regulations, taking into account your previous annual income and experience, and is not limited to the figures listed above.

■ Working Hours
Flexible work hours or managerial/supervisory position
・Flexible work schedule
Standard daily working hours: 8 hours; Break: 1 hour
Core hours: 9:00 a.m. to 2:00 p.m.
Flexible hours…6:00–9:00 and 14:00–20:00 (Overtime may be required)
・Supervisors
Based on the working hours of the employee’s department; left to the employee’s discretion

■ Days Off and Leave
Two days off per week (Saturdays and Sundays; national holidays are workdays) Annual paid leave, special leave (including leave for weddings and bereavement), childcare and family care leave systems, etc.
*In addition to paid leave, special leave is granted in the first and second halves of the fiscal year (the number of days granted varies depending on employment status and the company to which the employee belongs)

■Insurance Coverage
Social insurance (Health Insurance, Employees’ Pension Insurance, Employment Insurance, Workers’ Compensation Insurance, Long-Term Care Insurance)

■Employee Benefits
Employee stock ownership plan, mutual aid association, partner welfare programs, employee discount program, cafeteria, dedicated shuttle bus (for commuting to the Ariake office), defined contribution pension plan

■Other
・Our company actively recruits mid-career professionals across various Group companies (Fast Retailing, UNIQLO, GU, etc.). We would appreciate it if you could review the information below and consider applying.
- You may apply to multiple companies within the Fast Retailing Group simultaneously. However, please note that even if the selection process proceeds at multiple companies, you can only advance to the final selection stage for one position at a time.
- Based on your submitted resume and interview evaluations, we may suggest other companies or positions within the Fast Retailing Group.
・Secondhand Smoke Policy: Smoking is prohibited on the premises and indoors; we do not have designated smoking rooms. (Smoking is prohibited during working hours, including break times.)

Ariake Headquarters: 1-6-7 Ariake, Koto-ku, Tokyo, UNIQLO CITY
*Your location may be changed to a location designated by the company, including overseas locations.