Data Solution Lead

在 Johnson & Johnson，我们相信健康就是一切。 我们在医疗创新方面的实力使我们能够建立一个能够预防，治疗和治愈复杂疾病的世界,在这个世界中,治疗更智能，侵入性更低,并且解决方案是个性化的。 凭借我们在创新医学和医疗技术方面的专业知识,我们处于独特的地位,能够在当今的全套医疗保健解决方案中进行创新,以实现未来的突破,并对人类的健康产生深远的影响。 如需了解更多信息，请访问jnj.com

在我们的信条指引下，强生公司对全球范围内与我们共事的员工负有责任。我们提供一个包容的工作环境，在这里每个人都被视为独立的个体。在强生，我们尊重员工的多样性和尊严，并认可他们的价值。

工作职能：Data Analytics & Computational Sciences

作业子功能：Data Engineering

职位类别：People Leader

所有职位发布位置：Beijing, China, Shanghai, China

职位描述：
Job Description:

Position Title: Data Solution Lead

Location: Beijing, China; Shanghai, China.

Department: Technology Services

Role Overview:

We are seeking a skilled and Data Solution Lead to join our APAC Technology Services Data & Analytics team. Based in Beijing or Shanghai, you will be the lead engineer responsible for designing, and iterating enterprise-level data platforms and solutions, primarily on Microsoft Azure, with AWS on occasion. You will work closely with business and IT stakeholders in China and regionally to understand requirements, design data architecture which follow J&J global standards, and enable advanced analytics and reporting.

Key Responsibilities:

Ø Collaborate with business teams to advise on and translate requirements into technical solutions, within the Innovative Medicine China portfolio.

Ø Serve as the data architect for enterprise-level data platform, establishing engineering best practices in data modeling, ETL/ELT and data integration, primarily in Azure databricks.

Ø Proactively explore and integrate AI-driven tools (e.g., AI Coding, Automated AI agents) into daily workflows to optimize data engineering tasks and boost operational efficiency.

Ø Drive the implementation of dashboards and reports in Tableau or Power BI for business stakeholders.

Ø Lead the third party technical team, provide technical guidance and ensure data engineer governance framework is fully implemented.

Ø Communicate effectively with key stakeholders across business and IT, managing expectations and delivering updates in clear English.

Qualifications and Experience:

Ø Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Ø Minimum of 5 years of hands-on experience in data engineering, with at least 3 years focused on Azure cloud services. Strong expertise in Azure data services: Azure Databricks, Azure Data Factory, Azure Synapse, Azure Data Lake, etc.

Ø Proven ability to communicate complex data architectures to non-technical stakeholders.

Ø Experience with data visualization tools such as Tableau and Power BI.

Ø A strong passion for emerging AI technologies, with hands on experience with AI productivity tools, such as Github Copilot, Kiro.

Ø Proven track record of leading data projects and managing stakeholders.

Ø Strong problem-solving skills and ability to work in a fast-paced, global team environment.

Preferred Skills:

Ø Certification in Azure Data Engineering or Databricks Data Engineer.

Ø Solid understanding of GenAI fundamentals, with hands-on experience in building RAG pipelines and development custom AI agents using frameworks such as LangChain.

Required Skills:

Preferred Skills:
包容性领导力, 标准操作程序 (SOP), 高级分析, 工作流管理, 合规管理, 混合云, 激励他人, 精通技术, 领导力, 敏捷跳架, 培养他人, 数据工程, 数据架构开发, 数据建模, 数据科学, 数据隐私标准, 数据质量, 数据治理