Digital Manager

  •  Job Reference: 22378
  •  Posted Date: 13/08/2026
  •  Employment Type: Permanent
  •  Salary: Negotiable
  •  Industry: Healthcare or Life Sciences
  •  Specialization: Project Management

Overview
Our client, a global consumer healthcare company, is seeking a Digital Project Manager position. This role will be responsible for driving the successful delivery of digital and AI initiatives in a manufacturing environment by combining strong project management capabilities with applied knowledge of AI/analytics use cases.
Key Responsibilities
  • Lead end-to-end delivery of digital and AI projects (from use case identification, pilot implementation to full deployment and scaling).
  • Collaborate with business stakeholders to identify, prioritize, and refine AI/analytics use cases aligned with operational needs.
  • Translate business requirements into structured project plans and data-driven solutions.
  • Manage cross-functional stakeholders, including Manufacturing, Engineering, IT, Data teams, and external vendors.
  • Ensure project delivery meets timeline, scope, budget, and expected business impact.
  • Identify and manage risks, especially related to data availability and quality or system integration.
  • Coordinate with solution vendors and monitor delivery performance
  • Drive user adoption, change management, and continuous improvement after deployment
  • Track and report project progress to management and steering committee
  • Perform other tasks as assigned by line manager.
Requirements
Education
  • Bachelor's degree in IT, Data, or related fields.
  • Preferred Certifications:
    • Project Management: PMP, PRINCE2 certification
    • AI / Data: Azure AI Fundamentals (AI-900) or equivalent
    • Data Analytics (optional): Power BI (PL-300)


Related experience
  • 3–6 years of experience in project management or digital/IT projects
  • Proven experience in delivering at least 1–2 AI / data / automation projects in a real business environment
  • Experience in manufacturing or industrial environment is a strong advantage
  • Experience working with vendors, system integrators, and cross-functional teams
Core competencies
  • Languages: English (Advanced level, with ability to work in cross-functional and international environments), Vietnamese (Native).
  • Project Management: Planning, execution, risk and stakeholder management
  • Applied AI Understanding: Strong knowledge of AI use cases such as Computer Vision, Predictive Maintenance, Data Analytics
  • Business Translation: Ability to translate operational problems into digital/AI solutions
  • Data Awareness: Understanding of data lifecycle, data quality, and reporting
  • Communication: Strong English communication and stakeholder management skills



 

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