【仕事内容】: アプリケーションやインフラ側でインシデントが発生した際の対応をリードしていただきます インシデント発生時に、ステークホルダーと連携をし、状況の確認及び優先度確認、原因分析、問題整理、解決方法の模索など対応し、各担当チームに連携していただきます 【Roles in detail】: You will lead the team when it happens incidents on the application or infrastructure system When an incident occurs, you will work with stakeholders to check the situation, decide priorities, analyze
Roles and Responsibilities: Lead the Business Application Platform (BAP) testing team across the cloud and mainframe scopes to ensure the delivery of high-quality software products Your leadership will foster a culture of continuous improvement, collaboration, and
Our client is a famous Group in Tokyo that developing multiple businesses with the mission of ``Changing the world with economic information. Economic information platform, social economic media (BtoC) that expands and deepens learning, (BtoC) that
業務概要: 顧客企業のITサービスマネージメント(ITSM)業務、ITガバナンス体制へのアセスメント、課題抽出、業務改善支援 これら支援計画の提案と実行におけるBA、PM 上記取り組みを推進していく上で付随的に発生する各種リサーチ、内外コミュニケーション Business Overview: Assessment of client companys IT service management (ITSM) operations, IT governance system, problem extraction, and business improvement support BA and PM in proposing and implementing these support plans Various research and internal and external
Roles and Responsibilities: Coordinating / leadership among responsible teams across onsite/offshore as PMO manager/Fin. domain lead(DL) Regular work (Inquiry/Service Request handling, Trouble shooting) as Fin. DL/M365 onsite support Team management, including team member capability enhancement/improvement Customer communication
Roles and Responsibilities: Application lead to replace current external support Manage application maintenance and operation actitivities(Inquiry/Troubleshooting/Service request) on a regular basis including ticketing system operation in cooperation with NML biz ops support team and internal Statutory
【Responsibilities】: Play an important role in capturing/understanding existing business process and implement successful AI Solutions that make an impact on the process Responsible for bridging the gap between IT and the business, developing the business case, capturing
【Responsibilities】: Envision, build, deploy and operationalize an end-to-end machine learning (ML) and AI pipeline Build a robust enterprise wide architecture for AI and collaborate with data scientists, data engineers, developers, operations and security Perform the following
