Position: AI / Analytics Consultant
Location: Tokyo or Osaka, Japan
About the Role
As an AI / Analytics Consultant, you will apply advanced data technologies—including Artificial Intelligence (AI), Generative AI, and Machine Learning—to drive comprehensive business transformation initiatives. This role spans from strategic planning to hands-on implementation, enabling organizations to address complex challenges and become data-driven enterprises.
You will collaborate with multidisciplinary experts both in Japan and internationally to design, deploy, and scale AI-powered solutions that generate measurable business outcomes and broader societal value.
Key Responsibilities
-
Support clients in developing mid- to long-term AI and data strategy roadmaps.
-
Translate business issues into actionable AI and data use cases, including prioritization and planning.
-
Design technical solution approaches through prototyping, proof-of-concept (PoC), and pilot initiatives.
-
Guide AI projects from PoC through development, operationalization, and ongoing maintenance.
-
Promote enterprise-wide data utilization initiatives, including establishing Centers of Excellence (CoE).
-
Develop frameworks and practical use cases to scale AI adoption across organizations.
-
Support organizational redesign and talent development to enable sustainable data-driven transformation.
-
Establish AI governance structures, including policy development, ethical guidelines, and regulatory compliance frameworks.
-
Collaborate with industry-focused teams to create tailored AI solutions for specific sectors.
Representative Project Areas
-
Energy: Establishment and operationalization of AI Centers of Excellence.
-
Manufacturing: Quality defect analysis and predictive maintenance models.
-
Retail: Customer segmentation, sales optimization, and traffic flow analysis.
-
Logistics / Distribution: Demand forecasting and inventory optimization.
-
Financial Services: AI-enabled credit assessment and decision-making enhancement.
-
Human Resources: Talent acquisition analytics, attrition prediction, workforce analysis.
-
Consumer Goods: Enterprise data strategy and Generative AI application development.
-
ICT: AI/ML operations design and Generative AI governance frameworks.
-
Pharmaceuticals: Development of internal AI policies and usage guidelines.
-
Public Sector: Healthcare expenditure forecasting and disease prevention analytics.
Why Join This Role
-
Engage in diverse AI and Generative AI initiatives from strategy development through implementation.
-
Collaborate with cross-functional and international teams.
-
Utilize advanced tools, methodologies, and global delivery frameworks.
-
Access continuous professional development through AI and analytics training programs.
-
Benefit from a flexible organizational structure with strong internal mobility.
-
Contribute to the creation of new business models, not only incremental process improvements.
Career Development Opportunities
-
Work on AI and Generative AI initiatives across multiple industries and business domains.
-
Gain global exposure through collaboration with international offices.
-
Develop hands-on experience with emerging AI technologies through pilots and production deployments.
-
Support clients through full value realization—from conceptual design to measurable impact.
Required Experience and Skills
Candidates should have experience in one or more of the following areas:
-
Developing AI strategies and implementation roadmaps.
-
Applying AI solutions within business, digital transformation, or IT departments.
-
Promoting AI adoption within corporate environments.
-
Managing AI-related projects within consulting firms, system integrators, or IT vendors.
-
Serving as an AI or Data Analytics consultant, connecting business challenges with technical solutions.
-
Foundational knowledge of AI and practical experience in data modeling using business datasets.
Preferred Experience and Skills
-
Client-facing experience, including proposal development and stakeholder engagement.
-
Project management experience for AI system implementation initiatives.
-
Vendor or partner management experience in AI system development projects.
-
Experience developing prototypes for AI business applications using various tools and platforms.
Ideal Candidate Profile
-
Strong commitment to delivering client value and solving business challenges.
-
High intellectual curiosity and a continuous learning mindset.
-
Ability to communicate complex technical concepts to non-technical audiences.
-
Adaptable and comfortable in dynamic, fast-paced environments.
-
Collaborative team player with strong interpersonal skills.
-
Strong sense of accountability and ownership.
-
Innovative thinker with a passion for driving transformative change through AI.