Data Solution Lead

Posted One Month Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Healthtech • Biotech • Pharmaceutical • Manufacturing
The Role
Leads the design and implementation of enterprise data platforms and solutions across Azure and occasional AWS environments. Translates business requirements into data architectures, establishes data engineering standards for modeling, ETL/ELT, and integration, and supports dashboards and reporting in Tableau or Power BI. Integrates AI productivity tools, leads third-party technical teams, implements governance, and manages stakeholder communication. The role also involves guiding data projects and exploring RAG pipelines and custom AI agents.
Summary Generated by Built In

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

People Leader

All Job Posting Locations:

Beijing, China, Shanghai, China

Job Description:

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:

Advanced Analytics, Agility Jumps, Compliance Management, Data Architecture Development, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Developing Others, Hybrid Clouds, Inclusive Leadership, Leadership, Motivating People, Standard Operating Procedure (SOP), Technologically Savvy, Workflow Management

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
  • At least 5 years of hands-on data engineering experience
  • At least 3 years of experience focused on Azure cloud services
  • Strong expertise in Azure Databricks, Azure Data Factory, Azure Synapse, Azure Data Lake, and related Azure data services
  • Ability to communicate complex data architectures to non-technical stakeholders
  • Experience with Tableau and Power BI
  • Hands-on experience with AI productivity tools such as GitHub Copilot or Kiro
  • Track record of leading data projects and managing stakeholders
  • Strong problem-solving skills and ability to work in a fast-paced, global team environment
  • Azure Data Engineering or Databricks Data Engineer certification
  • Understanding of GenAI fundamentals
  • Hands-on experience building RAG pipelines
  • Experience developing custom AI agents using frameworks such as LangChain

Johnson & Johnson Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.

  • Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
  • Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
  • Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.

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The Company
HQ: New Brunswick, NJ
143,612 Employees
Year Founded: 1886

What We Do

Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines

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