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

Relevant 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 (i.e. from ground-up or further system & strategy development)

Exposure to learning program design, change management, or enterprise enablement

Ability to design or oversee visual and educational content for internal communications

#Li-Midsenior
#Li-SEAO

• Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.