リスク・コンプラ・監査、800万以下の転職求人

1,161 件

As AI technology rapidly evolves, this Group is promoting the business application of AI on an enterprise-wide scale. In parallel, we have introduced an AI governance framework that covers end-to-end AI lifecycle and established an AI governance structure. This initiative aims to create an environment that ensures ethical and responsible development, implementation, and use of AI.
Chief Data Office is responsible for AI governance across the Group and leading AI governance efforts at a global level. As relevant laws and regulations are continuously developed, it is essential to monitor regulatory trends not only in Japan but also overseas and update the framework as necessary. Chief Data Office collaborates with stakeholders from various backgrounds and areas of expertise at a global level, working collectively on AI governance initiatives as a unified group.
Currently Chief Data Office is implementing AI governance framework and chairing the governance forum. We are seeking experienced professionals who can contribute to these efforts.

Responsibilities：
Framework: Design, development, implementation and ongoing maintenance of the company’s AI governance framework requirements
Risk evaluation: Design, development and ongoing maintenance of AI risk evaluation taxonomies and methodologies; work with the business and application owners of AI deployments, and other control domain owners, to ensure risks are identified and mitigated
Automated Compliance: Design, develop, implement, embed and maintain second-line controls in line with the company’s AI governance framework requirements; develop controls testing approach and perform periodic testing of first-line controls
Operational management: Drive continuous improvement in CDO governance processes and solutions in line with the CDO automation and digitisation strategy
Regulatory changes: Track and assess impact of relevant regulatory changes for AI to ensure timely updates to governance framework
Reporting and analysis: Design and operationalise reporting and analytics for AI risk management and monitoring, internal decision making and governance committees
AI literacy: Design and deliver training requirements to improve enterprise AI literacy