AI & Data Consultant / Engineer
Department: AI & Data Strategy
Employment Type: Full-time
Location: Tokyo (Hybrid Work Available)
About the Role
As companies rapidly adopt advanced technologies, the complexity of data utilization and business transformation continues to increase. This position plays a key role in helping clients develop data-driven growth strategies, modernize their technology environments, and leverage AI for competitive advantage.
You will collaborate closely with business and technology consulting teams to design strategies, implement solutions, and advise clients from a management perspective — not just carry out system deployment. This role covers the full lifecycle: strategy, planning, platform implementation, managed services, and user enablement.
Key Responsibilities
Identify client issues related to data, analytics, and AI, and design strategic solutions
Advise on strengthening data infrastructures and analytics platforms
Support implementation of advanced technologies such as AI/ML, cloud data solutions, and visualization tools
Manage communication with stakeholders across business and IT functions
Provide training and capability-building support when needed
Utilize global methodologies, tools, and case studies to deliver high-impact outcomes
Participate in workshops to help clients visualize and understand analytics value
Development & Support
Access to internal analytics labs for hands-on training with cutting-edge technology
Global innovation workshop hubs enabling collaboration with international teams and clients
Career development supporting both business-focused consultants and technology specialists
Required Qualifications
Professional experience in roles related to technology strategy, data analytics, or digital transformation
Strong communication skills and ability to drive alignment among diverse stakeholders
Business-level English reading/writing skills (Guideline: TOEIC 700+)
Experience with international collaboration or online meetings is preferred
Preferred Technical Experience
(Any of the following)
Analytics or AI-related consulting or system development
Programming for data analysis (Python, R, etc.)
AI/ML technologies and solutions
IoT system integration or consulting
Metadata management, ETL, DWH, content/data governance
Cloud-based data platforms (AWS, Azure, GCP)
BI/Visualization tools and analytics frameworks
Strongly Preferred Background
Experience delivering consulting projects in data strategy, data management, BI, analytics, or AI
Experience at a consulting firm or IT vendor designing and deploying large-scale data solutions
Demonstrated knowledge of statistics, machine learning, and practical business analytics
Experience working directly within corporate analytics functions