What you’ll do:
Drive AI Adoption in China:
• Collaborate with IT Business Relationship Managers and business
stakeholders to identify high-impact AI use cases in Engineering, and document
clear, actionable AI requirements.
• Deploy Eaton’s standard AI solutions to address business needs in
Engineering, ensuring alignment with enterprise architecture and operational
goals.
• Provide technical support to application owners in developing the AI
solution
• Lead the deployment and integration of AI applications and platforms
within Eaton China, with a strong focus on Engineering, ensuring compliance
with local regulatory requirements and data privacy standards.
Project Management:
• Manage multiple AI projects simultaneously, ensuring they are delivered
on time, within scope, and within budget.
• Coordinate cross-functional teams, including IT, engineering,
manufacturing etc, to ensure successful project execution.
• Identify and mitigate risks associated with AI projects and implement
corrective actions as needed.
Innovation and Continuous Improvement:
• Stay abreast of the latest AI trends, technologies, and best practices to
drive innovation within the organization.
• Foster a culture of continuous improvement by encouraging
experimentation, learning, and adaptation.
• Collaborate with global AI teams to share the best practices, leverage
existing solutions, and drive continuous improvement
Qualifications:
• Bachelor’s degree in computer science, engineering, or related field. A
master’s degree in AI, Machine Learning, or Data Science is preferred.
• A minimum of 10 years of experience in information technology, including
at least 5 years specializing in artificial intelligence, machine learning, or
data science.
• Proven track record in identifying AI use case and developing AI
solutions for Engineering function.
• Proven track record of successfully leading AI projects in a global
organization,
• Experience with AI applications and platforms used, such as Microsoft
Azure AI Services, Palantir and other AI solutions like local AI service
(DeepSeek, Qwen for example).
Preferred Qualifications:
• Experience working in a multinational organization with a diverse and
distributed team.
• Familiarity with regulatory requirements and data privacy standards in
China.
• Proficiency in Mandarin and English.
Skills:
• Deep understanding of AI technologies, including machine learning,
natural language processing, computer vision, data analytics and
retrieval-augmented generation.
• Experience with cloud and hybrid infrastructures.
• Proficiency in scripting and automation tools (e.g., Python, SQL,
JavaScript, PowerShell, Azure CLI)
• Expertise in cloud native development specialized in Microsoft Azure tech
stack and Ali Cloud tech stack.
• Excellent project management skills, with the ability to manage multiple
projects simultaneously.
• Deep understanding of engineering processes and challenges, with the
ability to develop and deploy AI solutions for Engineering functions.
• Strong analytical and problem-solving skills, with the ability to think
strategically and make data-driven decisions.
• Excellent communication and interpersonal skills, with the ability to
build relationships and influence stakeholders at all levels.
• Experience with AI platforms like Palantir and Snowflake is advantageous