Position Summary

The AX Productivity & Enablement Manager is responsible for driving the organization’s AI-based productivity and transformation agenda. This role leads the development of AI productivity strategies and roadmaps, oversees the performance and governance of AX initiatives, and builds enterprise-wide AI literacy and adoption.

You will work with various stakeholders and departments to ensure AI initiatives are strategically aligned, performance-driven, and sustainably adopted across the organization.

Role and Responsibilities

1. AX Strategic Planning

• Develop AI-based productivity and innovation strategies aligned with business priorities
• Derive insights through technology trends, market trends, and competitor analysis
• Establish mid- to long-term AI-driven productivity improvement roadmaps and execution strategies
• Identify and translate emerging AI and digital technologies into practical business and service applications
• Support leadership decision-making through structured insights and strategic recommendations

2. AX Performance Management

• Review and manage the overall status of AX projects, including consolidated project reviews
• Manage project progress, milestones, risks, and dependencies across AX initiatives
• Track, monitor, and verify performance against monthly, quarterly, and annual targets
• Verify task inputs and execution status by division within the AX performance management system
• Design and assess ROI and value realization using quantitative metrics (e.g. cost, manpower, operational efficiency)
• Prepare structured performance reports and dashboards for stakeholders and leadership

3. AX Culture & Capability Building

• Develop AI literacy enhancement strategies and roadmaps for employees
• Plan and design customized AI learning programs and curricula based on different proficiency levels
• Conduct planning and quality control (QC) of AI education programs and learning materials
• Plan, write, and distribute internal and external communications, including AX service introductions and promotions
• Drive AI adoption through learning, communication, and change enablement initiatives

Skills and Qualifications

Experience & Knowledge

• Experience in developing AI-based productivity or innovation strategies
• Experience analyzing new technology trends and applying them to business or service improvement
• Proven project experience in Machine Learning (ML) or Large Language Model (LLM) related initiatives
• Familiarity with AI technologies, data platforms, and digital transformation frameworks.

Skills & Competencies

• Strong capability in data-driven problem analysis, deriving improvement measures, and implementing solutions
• Ability to design and analyze ROI using quantitative and qualitative performance metrics
• Strong communication and collaboration skills with domestic and international stakeholders
• Competence in preparing management and performance reports with clear insights
• Experience in planning and delivering internal training programs or workshops
• Structured, execution-oriented mindset with strong coordination skills

Preferred / Nice to Have

• Experience in company-wide transformation, productivity, or digital initiatives
• Exposure to learning program design, change management, or enterprise enablement
• Ability to design or oversee visual and educational content for internal communications

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