It职位 - 上海市地区

The CRM Project Manager at a luxury company is responsible for collaborating with suppliers, managing internal teams, and managing all aspects of CRM projects, including planning, reporting, and ensuring on - time delivery.

• You will implement generative AI use cases that bring measurable economic benefit by designing and implementing suitable generative AI solution architectures, including software design and Cloud architectures.
• You join and contribute in internal communities of practice in order to shape the generative AI tech-stack.

• Develop an evolving data Architecture for China.
• Key role in designing future data stack technical roadmap.
• The data architect is responsible for consistently available and trusted master data across the enterprise.​

* Crafting, executing, and overseeing AI/ML solutions throughout their lifecycle, from inception to deployment.

* Pioneering cutting-edge machine learning models, particularly in the realm of deep learning, tailored for predictive tasks in the biomedical sector.

* Steering initial project conceptualization and establishing clear project parameters alongside subject matter specialists.

• 拥有计算机科学、数学、统计学或相关领域的本科及以上学历。
• 拥有计算机科学、数学、统计学或相关领域的本科及以上学历。熟练掌握至少一种编程语言，如Python、Java或C++。
• 有机器学习和数据处理的实际项目经验。
• 有机器学习和数据处理的实际项目经验。对大数据技术有深入理解，熟悉Hadoop、Spark等数据处理框架。
• 对大数据技术有深入理解，熟悉Hadoop、Spark等数据处理框架。具备良好的团队合作精神和沟通能力。

• UtilizeUtilize advanced data analysis, modelingmodeling, and machine learning techniques to develop predictive and prescriptive models that drive business outcomes.
• Develop and implement machine learning algorithms and artificial intelligence solutions to address complex business problems.
• Keep abreast of the new trends and technologies in data science to contribute to the development of innovative solutions.

• 作为大中华区的业务信息技术负责人，与信息系统与技术与全球总部进行技术合作。 向全球技术团队提供深入的技术洞察，并参与战略业务决策。
• 识别新兴技术和趋势，并提出我们如何利用它们来不断创新的想法，关注中国的数字生态系统。
• 与利益相关者紧密合作，明确优先事项和关键举措。

• Digital Product Strategy and Roadmap:
• Digital Product Development:
• Product Go to Market
• Team Leadership and Management

一家外资零售快消行业巨头的ETL开发岗位，提供你在快节奏环境中与年轻的团队一起成长学习的机会，帮助完成在大陆地区核心项目的数据库的搭建。

1、数据分析 - 结合业务痛点通过数据分析找到生意现象的本质原因，及推荐决策和期待的决策效果；

2、发展战略制定 -结合业务发展目标和现今痛点，定位并量化业务未来的发展主要动力，能制定未来短期中期和长期业务发展规划和战略，用数据指导业务发展战略；

A consumer company is seeking a Digital product tech lead

In charge of lead internal employees and supplier teams to deliver the Power BI project, oversee project technical details, maintain good communication with external teams, and ensure delivery time and quality.

As the company's business expands rapidly, we are looking for a Data Product Requirements Analyst to help further optimise and enhance our data processing capabilities.

Our client is seeking a skilled and innovative Robotics Engineer to design, develop, and implement robotic systems that enhance automation and improve operational efficiency and success rates. The ideal candidate will have a strong background in mechanical, electrical, and software engineering, along with expertise in robotics technologies, sensors, and control systems.

This role provides you with the opportunity to grow together with a young team in a good environment, and assist in completing the AI project landing for various BU groups in the Asia-Pacific region.

Job Responsibilities:

• Data Analysis: Perform in-depth data analysis to identify trends and insights.
• Product Development: Drive the development of data-driven products and services.
• User Experience: Ensure data products meet the needs of end-users and enhance their experience.

• Develop and maintain data models that align with business requirements and technical constraints.
• Collaborate with cross-functional teams to define data architecture strategies.
• Ensure data integrity, security, and compliance with industry standards.
• Lead data integration projects and manage data migration activities.

• You will work on various aspects of Big data analytics and development, Data Management, Governance and Information Architecture.
• Design and develop data solution architecture on scalability, good performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption
• Define and prioritise product requirements, user stories, and acceptance criteria for data and analytics products and ensure what was agreed gets delivered

You will bridge data science, marketing technology, and business strategy to optimize customer acquisition, engagement, and omni-channel experiences. By unifying customer data, media analytics, and AI-driven insights, you'll orchestrate personalized journeys across digital and physical touchpoints (e.g., media, e-commerce, retail).

- The Lead Software Engineer supervises, leads the design, build, deployment and maintenance of tailor-made and/or software packages or the adaptation of existing ones.

- Act as a bridge between technical (developers, infra, etc.) and non-technical (business, BA, PM, squad, etc.).

- Stay up-to-date with cutting-edge technologies, particularly in AI empowered technical solutions.