Data & AI Lead - Manufacturing Industry

Links International

Hong Kong

On-site

HKD 900,000 - 1,200,000

Full time

2 days ago
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Job summary

Links International is seeking a Data & AI Lead to spearhead enterprise AI strategy and delivery in its IT team. You will design and scale AI-driven solutions, including AI agents, RPA, and Digital Twin initiatives to improve operations.

The role requires 12+ years in data/AI/automation, strong leadership, and hands-on expertise with Azure, Python, and modern data platforms. Manufacturing or logistics experience is a plus.

Qualifications

  • Bachelor's degree in Computer Science, IT, Data Science, or engineering.
  • Minimum 12 years in data analytics, AI or intelligent automation.
  • Proven enterprise-scale AI/data/automation delivery with measurable outcomes.
  • Hands-on expertise in Generative AI, ML, AI agents, RPA, conversational AI.
  • Experience with Azure cloud and APIs.
  • Strong Python proficiency.
  • Leadership experience building and mentoring teams.
  • Experience in manufacturing, supply chain, or complex operations preferred.

Responsibilities

  • Lead the development and execution of enterprise-wide Data, AI, and Intelligent Automation strategies and roadmaps.
  • Design, implement, and scale AI-driven solutions, including AI agents, copilots, digital workers, and Generative AI applications.
  • Develop and manage workflow automation, robotic process automation, and intelligent process automation solutions to improve operational efficiency.
  • Build and deploy conversational AI and voice-enabled assistant solutions to enhance user experience and business productivity.
  • Drive Digital Twin initiatives to optimize manufacturing, operational, and business processes.
  • Implement Computer Vision and AI-powered monitoring solutions to support quality assurance, compliance, safety, security, and productivity improvements.
  • Develop advanced analytics capabilities, dashboards, and predictive insights using modern data platforms and technologies.
  • Evaluate emerging technologies and lead innovation initiatives from proof-of-concept through enterprise-scale deployment.
  • Collaborate with business stakeholders across multiple functions to identify opportunities where AI and automation can deliver measurable business value.
  • Manage external technology partners, vendors, and solution providers while ensuring successful project delivery.
  • Build, mentor, and lead a team of AI, data, and automation professionals to drive technology innovation and execution.

Skills

Stakeholder management
Team leadership
Strategic thinking
Execution excellence
Fast-paced environment

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Azure AI
Python
APIs
RPA tools
Generative AI
Computer Vision

Job description

My client, a well-established global organization investing heavily in AI, intelligent automation, and digital innovation to enhance business performance and future growth, is looking for a Data & AI Lead to join their successful IT team.

Job Responsibilities

My client, a well-established global organization investing heavily in AI, intelligent automation, and digital innovation to enhance business performance and future growth, is looking for a Data & AI Lead to join their successful IT team.

  • Lead the development and execution of enterprise-wide Data, AI, and Intelligent Automation strategies and roadmaps.
  • Design, implement, and scale AI-driven solutions, including AI agents, copilots, digital workers, and Generative AI applications.
  • Develop and manage workflow automation, robotic process automation (RPA), and intelligent process automation solutions to improve operational efficiency.
  • Build and deploy conversational AI and voice-enabled assistant solutions to enhance user experience and business productivity.
  • Drive Digital Twin initiatives to optimize manufacturing, operational, and business processes.
  • Implement Computer Vision and AI-powered monitoring solutions to support quality assurance, compliance, safety, security, and productivity improvements.
  • Develop advanced analytics capabilities, dashboards, and predictive insights using modern data platforms and technologies.
  • Evaluate emerging technologies and lead innovation initiatives from proof-of-concept through enterprise-scale deployment.
  • Collaborate with business stakeholders across multiple functions to identify opportunities where AI and automation can deliver measurable business value.
  • Manage external technology partners, vendors, and solution providers while ensuring successful project delivery.
  • Build, mentor, and lead a team of AI, data, and automation professionals to drive technology innovation and execution.
Job Requirements
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.
  • Minimum 12 years of experience in Data Analytics, Artificial Intelligence, Intelligent Automation, Digital Transformation, or related technology domains.
  • Proven experience delivering enterprise-scale AI, data, and automation solutions with measurable business outcomes.
  • Strong hands-on expertise in Generative AI, Machine Learning, AI Agents, RPA, Conversational AI, and Intelligent Automation technologies.
  • Experience with cloud-based AI and data platforms, including Azure ecosystem, modern data platforms, and API integrations.
  • Proficiency in Python and other relevant programming, automation, or data engineering technologies.
  • Exposure to Digital Twin, IoT, Computer Vision, Smart Factory, or Industry 4.0 initiatives is highly advantageous.
  • Strong stakeholder management skills with the ability to engage both technical and non-technical audiences.
  • Demonstrated leadership experience in building, mentoring, and managing high-performing technical teams.
  • Ability to balance strategic planning with hands-on execution in a fast-paced and evolving technology environment.
  • Experience in manufacturing, supply chain, logistics, retail, or other complex operational environments is preferred
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