AX (AI Experience) Productivity & Enablement Manager, Toa Payoh

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. 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 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 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
Requirements
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