The Data & AI Manager serves as the strategic architect of the organization’s information ecosystem, overseeing the full spectrum of data operations and artificial intelligence initiatives.
This role is pivotal in transforming raw data into a competitive asset through rigorous Data Asset Management, ensuring high standards of quality, governance, security, and compliance across the enterprise.
This role is also to architect, build, and scale the company’s internal Generative AI platform and applications. This is a hands-on technical leadership role responsible for designing robust LLM-based solutions that integrate deeply with enterprise data sources and legacy systems. The incumbent will lead the engineering team in solving complex technical challenges related to RAG optimization, Agent orchestration, inference latency reduction, and secure deployment within a private/hybrid cloud environment. The goal is to transform business requirements into production-grade, high-availability AI services that drive operational efficiency.
skills and experience required.•
8+ years of experience in data management, analytics, or a related field, with a proven track record in executive support, preferably within the luxury or retail sector.
2+ years of experience in GenAI engineering with a proven track record in deploying enterprise-grade Generative AI solutions and managing multi-agent systems, preferably within the luxury, retail, or high-touch consumer sectors.
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about the company. Global Leading Retail Company
about the team. China IT Team
about the job.
The Data & AI Manager serves as the strategic architect of the organization’s information ecosystem, overseeing the full spectrum of data operations and artificial intelligence initiatives.
This role is pivotal in transforming raw data into a competitive asset through rigorous Data Asset Management, ensuring high standards of quality, governance, security, and compliance across the enterprise.
This role is also to architect, build, and scale the company’s internal Generative AI platform and applications. This is a hands-on technical leadership role responsible for designing robust LLM-based solutions that integrate deeply with enterprise data sources and legacy systems. The incumbent will lead the engineering team in solving complex technical challenges related to RAG optimization, Agent orchestration, inference latency reduction, and secure deployment within a private/hybrid cloud environment. The goal is to transform business requirements into production-grade, high-availability AI services that drive operational efficiency.
...
skills and experience required.•
8+ years of experience in data management, analytics, or a related field, with a proven track record in executive support, preferably within the luxury or retail sector.
2+ years of experience in GenAI engineering with a proven track record in deploying enterprise-grade Generative AI solutions and managing multi-agent systems, preferably within the luxury, retail, or high-touch consumer sectors.
show more
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about the company.国际知名互联网公司about the team.AI产品团队about the job.【岗位职责】交互式内容体验设计与落地:负责平台核心交互内容形态(如交互视频、分支剧情短剧、互动游戏)从0到1的产品设计与迭代。 结合AI能力(如NLP对话理解、多模态情感识别),设计用户在内容中的"选择-反馈-分支"机制,提升沉浸感与复玩率。探索AI驱动的动态叙事。 例如,基于用户的实时情绪或历史偏好,动态调整剧情走向或角色反应,打造千人千面的交互体验。协同设计、开发、美术团队,打磨交互内容的交互范式、动效反馈与界面呈现,确保体验流畅且具有吸引力。AIGC/UGC内容创作工具与工作流设计:设计面向创作者(UGC)的交互内容创作工具, 降低交互视频、互动剧情的创作门槛,让普通用户也能轻松制作"选择你的冒险"类内容。探索AIGC在创作流中的赋能场景,与算法/工程团队紧密配合,搭建内容创作-审核-分发-数据回收的全链路工作流。Feeds流与交互内容的融合策略:将交互式内容自然地融入现有Fee
about the company.国际知名互联网公司about the team.AI产品团队about the job.【岗位职责】交互式内容体验设计与落地:负责平台核心交互内容形态(如交互视频、分支剧情短剧、互动游戏)从0到1的产品设计与迭代。 结合AI能力(如NLP对话理解、多模态情感识别),设计用户在内容中的"选择-反馈-分支"机制,提升沉浸感与复玩率。探索AI驱动的动态叙事。 例如,基于用户的实时情绪或历史偏好,动态调整剧情走向或角色反应,打造千人千面的交互体验。协同设计、开发、美术团队,打磨交互内容的交互范式、动效反馈与界面呈现,确保体验流畅且具有吸引力。AIGC/UGC内容创作工具与工作流设计:设计面向创作者(UGC)的交互内容创作工具, 降低交互视频、互动剧情的创作门槛,让普通用户也能轻松制作"选择你的冒险"类内容。探索AIGC在创作流中的赋能场景,与算法/工程团队紧密配合,搭建内容创作-审核-分发-数据回收的全链路工作流。Feeds流与交互内容的融合策略:将交互式内容自然地融入现有Fee
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about the company.创新药企about the team.在业务部门,负责搭建和运维SFE管理所涉及的IT平台系统,提升业务运营的自动化程度,进行业务运营相关工具的线上、线下优化工作about the job.基于SFE管理体系的目标,配合上级规划相应的信息化和数字化项目,收集相关行业信息SFE系统及相关模块的项目实施: 把控项目开发进度,保证公司业务流程在系统中完整体现;与业务团队密切合作,采集幵抽取有效的业务需求,完善幵提升系统/工具效能;管理幵组织项目小组,及时完成需求分析及软件测试工作,确保系统及时上线SFE系统及相关模块维护:建立系统日常维护机制与流程,确保业务团队有效使用的日常工作业务管理流程支持:定时开启相关系统/工具,整合必要的SFE数据,幵导入相应的系统/工具,以支撑相应的业务管理流程,例如,组织架构、区域划分、季度指标等;定期提供规范格式的数据报表,或同步数据到相应系统,确保相关系统/工具的正常运行SFE数据整合、维护与支持:采集、检查、清洗、规范业务数据,幵载入SFE系
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