AI Enablement & Transformation Manager

Role Purpose
We do not need someone to simply introduce more AI tools. We need someone who can work with internal stakeholders to identify where work is slow, repetitive or overly dependent on individuals, then redesign the workflow and implement practical AI solutions that employees will actually use.

The role will work across Sales, Product, Engineering, Supply Chain, Operations and HR. The focus is measurable business improvement: faster tender responses, better access to knowledge, less manual reporting, stronger follow-up and more consistent execution across countries and business units.

This is a business transformation role with strong AI capability, not a pure software engineering, IT support or research position.

Key Responsibilities
Identify meaningful AI use cases
Work directly with business teams to understand how work is currently done, where information gets stuck and which activities consume time without adding sufficient value.

Prioritise opportunities based on business impact, implementation effort, data readiness and adoption potential. Avoid “AI for the sake of AI” projects.

Initial use cases may include:
Searching and summarising product, technical and certification information
Supporting tender analysis and first-draft responses
Creating sales proposals and customer presentations
Consolidating market, competitor and pipeline intelligence
Capturing customer requirements and tracking follow-up actions
Improving demand forecasting and inventory visibility
Analysing manufacturing or quality issues
Drafting HR documents and answering routine employee questions
Automating recurring management reports and OKR updates
Translating and localising information across China and international teams

Review how work is currently done across teams, identify unnecessary steps and clarify ownership before introducing new technology. Improve existing systems and workflows through practical AI solutions, automation or integrations that better support international teams.

Design, prototype and implement lightweight AI-enabled solutions using suitable platforms, APIs and existing company systems. Work with IT, Product and external vendors where enterprise-level development, integration or security support is required. Organise fragmented information across functions and countries into a trusted, searchable knowledge base with clear ownership, access controls and source references.

Drive adoption through practical training based on employees’ actual work, supported by role-specific templates, playbooks and AI assistants. Track usage, resolve adoption barriers and establish clear governance covering confidential information, customer and employee data, intellectual property, approved tools and human review of important decisions.

First-Year Priorities
First 90 days
Review current tools, workflows and AI usage across key departments
Interview business leaders and frontline employees
Create a prioritised AI opportunity map
Establish basic AI usage and data-handling guidelines
Launch two or three quick-win pilots
Months 4–6
Deliver at least one working solution for Sales or tender management
Deliver at least one solution for an operational function
Establish adoption and impact measurements
Train the first group of departmental AI champions
Recommend which tools should be retained, integrated or discontinued
Months 7–12
Scale successful pilots across relevant entities
Launch a searchable, permission-controlled knowledge solution
Embed AI-enabled workflows into normal business operations
Present a quantified roadmap for the following year

Success Measures
The role will not be assessed by how many tools or workshops are launched. Instead,
Reduction in time spent preparing tenders, proposals and recurring reports
Number of workflows adopted and actively used after three months
Employee adoption among targeted teams
Hours of manual work eliminated or redirected
Improvement in response time and follow-up completion
Reduction in duplicate or outdated documents
Percentage of AI outputs linked to approved source information
Financial benefit or productivity gain from implemented use cases
Zero material breaches of AI and data-handling requirements

Candidate Profile
Around 6–10 years of experience in digital transformation, AI enablement, product operations, business process improvement, automation or technology consulting
Experience implementing AI or automation in real business workflows, not only running training or developing strategy decks
Strong ability to understand commercial and operational problems
Comfortable building prototypes using enterprise AI tools, workflow automation platforms, APIs and knowledge systems (with a team)
Able to work with both business users and technical teams
Strong change-management, facilitation and stakeholder-management skills
Able to operate across different countries, functions and levels of technical maturity
Experience in payments, smart cards, fintech, manufacturing or B2B technology would be advantageous

12-month renewable contract.
*Only Singaporeans and Singapore PRs will be considered for this position.