Data & Analytics Jobs in Pudong, China (Now Hiring) — 42 open — Page 2

ESSENTIAL DUTIES AND RESPONSIBILITIES:

The incumbent will be responsible for, but not limited to, the following duties:

1. End-to-End AI Solution Architecture Design

• Define and develop the overall architecture of AI intelligent laboratory solutions across automation, data platform, application, AI agent, model, integration, and workflow layers.
• Design system integration framework connecting instruments, middleware, data platforms, and AI capabilities.
• Establish standardized architecture blueprint for reusable and scalable deployment.
• Make expert-level architecture decisions on system structure, data flow, AI capability modules, integration interfaces, and deployment models.
• Anticipate technical, regulatory, cybersecurity, data governance, and implementation risks in architecture design.

2. Business Requirements to Technical Solution Translation

• Translate complex customer needs and business priorities into structured AI solution modules and implementation roadmaps.
• Define architecture for key AI use cases such as intelligent scheduling, AI validation, quality management, laboratory operation optimization, and clinical decision support.
• Collaborate with marketing, sales, service, product, IT, and business teams to ensure technical feasibility meets business expectations.
• Provide expert input to customer discussions, solution proposals, and business case development.

3. Capability Integration & Technology Roadmap Contribution

• Assess and consolidate existing digital, automation, data, and AI products into unified architecture.
• Identify key gaps in current solution portfolio such as AI validation, knowledge graph, clinical decision support, data platform, and ISO management systems.
• Define technical roadmap to close capability gaps and enhance competitiveness.
• Evaluate emerging AI technologies and external solution providers for fit-for-purpose integration opportunities.

4. Reference Site Solution Design & Deployment Support

• Lead solution architecture design for benchmark hospitals and pilot projects.
• Provide expert technical guidance during solution implementation, integration testing, validation, and issue resolution.
• Support creation of scalable deployment model based on reference cases.
• Convert reference-site learnings into standardized architecture models and reusable solution packages.

5. Ecosystem & Technical Collaboration Management

• Collaborate with internal teams, including Sales, Marketing, Service, IT, Automation BU, CVS, Product, Regulatory, Quality, and other cross-functional stakeholders.
• Collaborate with external partners, including AI vendors, IT solution providers, hospitals, laboratories, and ecosystem partners, to define integration approaches and validate technical feasibility.
• Support vendor evaluation, partner selection, technical validation, solution co-development, and architecture governance.
• Lead technical workstreams and influence cross-functional alignment without necessarily having direct people management responsibility.

This description is a summary of principal responsibilities and is not intended to include all duties that may be assigned.

WORKING RELATIONSHIPS AND CONTACTS:

• External contacts include hospital customers, laboratories, AI vendors, IT solution providers, and technology partners to gather requirements, validate solution feasibility, and support implementation.
• Internal contacts include Marketing, Sales, Service, IT, Automation BU, CVS, Product, Regulatory, Quality, and cross-functional teams to align on architecture design, solution development, and project execution.

SUPERVISION RECEIVED AND GIVEN:

The incumbent works with a high degree of independence under general direction from management, exercising expert judgment in solving complex technical and business problems.

This position may lead technical workstreams, external partners, and cross-functional contributors to achieve project milestones and solution objectives, without necessarily having direct people management responsibility.

ESSENTIAL QUALIFICATIONS:

EDUCATION & SKILLS:

• Bachelor degree or above in Computer Science, Artificial Intelligence, Biomedical Engineering, Information Technology, Data Science, Automation, Medical Informatics, or related fields.
• English skill in both reading and writing is essential. Good English speaking skill is a plus.
• Strong expertise in AI solution architecture, system integration, data platform design, AI/ML applications, and scalable solution deployment.
• Solid understanding of healthcare, IVD, laboratory informatics, automation, or clinical workflow environments is highly preferred.

WORKING EXPERIENCE:

• Minimum 8 years experience in solution architecture, healthcare IT, laboratory informatics, system integration, AI systems, or related technical roles; demonstrated AI-related project experience is required.
• Hands-on or architecture experience in AI solution design, AI/ML applications, data platforms, model integration, AI agent applications, or AI-enabled workflow optimization.
• Experience leading complex solution architecture work from concept design through pilot implementation and scalable deployment.
• Experience in healthcare, IVD, laboratory automation, or other regulated environments is highly preferred.
• Experience working with external technology partners, AI vendors, hospitals, laboratories, or healthcare ecosystem partners is preferred.

FUNCTIONAL COMPETENCIES:

This position also requires:

• Recognized functional expertise in AI solution architecture, system integration, data platform, and AI-enabled application design.
• Ability to solve unique, complex, and ambiguous problems with broad business and technical impact.
• Ability to translate complex business requirements into structured technical solutions.
• Strong capability to define scalable architecture principles, reusable solution blueprints, integration standards, and technology roadmaps.
• Solid understanding of system integration, data flow, AI-driven applications, and responsible AI considerations.
• Strong problem-solving, analytical thinking, and architecture trade-off decision-making capability.
• Strong communication, stakeholder management, and cross-functional influencing skills.
• Goal-oriented, proactive, continuous learner, and able to work under pressure in a fast-changing AI and healthcare technology environment.

TRAVEL REQUIREMENTS:

This position may require business traveling in a frequently situation.

WORK ENVIRONMENT:

This position functions in a general office environment with frequent interaction with internal teams and external stakeholders.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.