次世代業務基盤の企画推進担当（AI活用推進）

Skills

About the Role

Plan and drive next-generation operational platforms and technology-enabled automation. Identify structural business issues, design AI-centered automation platforms and IT solutions, manage development projects, coordinate business and engineering stakeholders, and promote AI adoption across the organization.

Requirements

• Ownership and execution capability
• Project promotion and cross-functional consensus-building skills
• Logical thinking and problem-solving skills
• Basic knowledge of automation using RPA, scripts, ERP, or workflow management tools
• Documentation skills for business flows, standard procedures, and knowledge materials
• Experience identifying bottlenecks and improving business processes
• Experience designing or operating BPO or offshore outsourcing
• Ability to implement basic automation or data processing using Python, SQL, or VBA
• Experience planning or delivering IT solutions from root-cause identification
• Practical experience planning systems or managing full-scratch projects
• Experience developing applications using large language model APIs, or strong willingness to learn
• Basic understanding of AWS, Azure, or GCP infrastructure
• At least five years of practical software development experience for the development engineer track
• Experience leading architecture design and technology selection
• Experience defining requirements or managing products with business users
• Business-level Japanese for the development engineer track

Responsibilities

• Plan and design AI-enabled automation platforms
• Drive development projects involving AI utilization
• Manage and support multiple projects of varying scales
• Plan and design IT solutions with a focus on AI
• Promote AI adoption within the headquarters and across the company
• Develop platforms using Python and low-code tools
• Introduce machine-learning and AI models for automation and efficiency
• Develop operational support tools using generative AI and natural language processing
• Build and improve data integration platforms and ETL pipelines
• Coordinate cross-functional work with engineers, data scientists, and business specialists
• Redesign operational processes and automate systems
• Create automation system requirements
• Analyze business issues and needs
• Coordinate quality, cost, and delivery with system development departments

Benefits

• Hybrid workstyle
• Super flextime with no core hours
• Annual paid leave of 14 days in the first year
• Personal leave of 5 days annually
• Health insurance
• Employees' pension insurance
• Employment insurance
• Workers' compensation insurance
• Corporate defined-contribution pension plan

Hiring Process

Candidates apply through a unified entry point for two departments; during the recruitment process, the candidate selects one of the departments.