AI Enablement & Transformation Manager

Role PurposeWe 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 ResponsibilitiesIdentify meaningful AI use casesWork 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 informationSupporting tender analysis and first-draft responsesCreating sales proposals and customer presentationsConsolidating market, competitor and pipeline intelligenceCapturing customer requirements and tracking follow-up actionsImproving demand forecasting and inventory visibilityAnalysing manufacturing or quality issuesDrafting HR documents and answering routine employee questionsAutomating recurring management reports and OKR updatesTranslating and localising information across China and international teamsReview 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 PrioritiesFirst 90 daysReview current tools, workflows and AI usage across key departmentsInterview business leaders and frontline employeesCreate a prioritised AI opportunity mapEstablish basic AI usage and data-handling guidelinesLaunch two or three quick-win pilotsMonths 4–6Deliver at least one working solution for Sales or tender managementDeliver at least one solution for an operational functionEstablish adoption and impact measurementsTrain the first group of departmental AI championsRecommend which tools should be retained, integrated or discontinuedMonths 7–12Scale successful pilots across relevant entitiesLaunch a searchable, permission-controlled knowledge solutionEmbed AI-enabled workflows into normal business operationsPresent a quantified roadmap for the following yearSuccess MeasuresThe role will not be assessed by how many tools or workshops are launched. Instead,Reduction in time spent preparing tenders, proposals and recurring reportsNumber of workflows adopted and actively used after three monthsEmployee adoption among targeted teamsHours of manual work eliminated or redirectedImprovement in response time and follow-up completionReduction in duplicate or outdated documentsPercentage of AI outputs linked to approved source informationFinancial benefit or productivity gain from implemented use casesZero material breaches of AI and data-handling requirementsCandidate ProfileAround 6–10 years of experience in digital transformation, AI enablement, product operations, business process improvement, automation or technology consultingExperience implementing AI or automation in real business workflows, not only running training or developing strategy decksStrong ability to understand commercial and operational problemsComfortable 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 teamsStrong change-management, facilitation and stakeholder-management skillsAble to operate across different countries, functions and levels of technical maturityExperience in payments, smart cards, fintech, manufacturing or B2B technology would be advantageous12-month renewable contract.*Only Singaporeans and Singapore PRs will be considered for this position.