Confidential: Brand New Ai And Data Platform Director Job at Randstad (Tokyo 23 wards)

Job Responsibility

Drafting Advanced Technical Strategy and Service Implementation of Cutting-Edge Technology:Leading the planning and execution of advanced technical strategies, leveraging deep practical technical understanding. This includes selecting technologies for AI (LLMs, etc.), applications, and databases, overseeing design to translate business requirements into high-level engineering specifications, and driving service implementation.
Building and Continuously Evolving Next-Generation Digital Platforms:Responsible for the construction and operation of the next-generation standard digital platform, including core business systems, no-code solutions, data lakes, BI, service buses, and AI Agents. This also involves the continuous improvement of Service Level Agreements (SLA) across the entire group and the enhancement and advancement of the platform.
Managing Hybrid Teams and Optimizing Project QDC (Quality, Delivery, Cost):Forming and managing hybrid project teams that optimally combine internal and external resources, leading strategic alliances with external Engineering partners and directing mixed teams. The role involves optimizing project Q (Quality), D (Delivery/Deadline), C (Cost), and developing and promoting training programs aimed at enhancing the engineering skills of internal members.

Advanced Engineering and Cloud Development Experience: Advanced hands-on engineering background and deep experience in Web application development on Cloud/PaaS environments such as AZURE/AWS, system architecture design, and database design.
Knowledge of AI Technology/Data Pipeline Construction and Company-wide Platform Mindset: Practical knowledge regarding the implementation of AI technologies and data pipeline construction, along with the ability to design and deliver services as a company-wide shared Platform rather than limiting focus to specific projects.
Large-Scale IT Digital Project Management Experience: Over 5 years of management experience with IT digital projects exceeding 50 person-months. Utilization of systematic project management methodologies (e.g., PMI, PRINCE2, etc.), and management experience leading engineering organizations of 5 or more members or collaborating with large external partners.