AI Digital Transformation Executive
Mô tả công việc
- 1. Find where AI can remove manual, repetitive or slow work, by sitting with teams across all departments and watching how they work rather than relying on what a request form says.
- 2. Coordinate across departments to scope each initiative: agree what is being solved, who is affected, what data and system access is needed, and who signs off before building starts.
- 3. Design the solution: shape the flow, the screens and the experience so the tool is genuinely usable by non-technical colleagues.
- 4. Build it. Use AI-assisted development tools to go from idea to working prototype in days rather than months, then iterate with real users until it is good.
- 5. Ship internal tools, assistants and automations to production, and take responsibility for whether people use them.
- 6. Build automations and integrations that connect systems, using tools such as n8n and APIs to move data between e-commerce, CMS, ERP, CRM and third-party services.
- 7. Handle the unglamorous parts of a working system: error handling, retries, edge cases, monitoring, and fixing things when they break.
- 8. Evaluate new AI tools and models, run quick tests to see whether they solve a real problem, and recommend what is worth adopting.
- 9. Measure impact. Agree what success looks like before building, then show the time saved or the improvement delivered afterwards.
- 10. Keep stakeholders across departments informed: run working sessions and demos, report progress on active initiatives, and manage expectations on priorities and timelines.
- 11. Drive adoption: demonstrate what has been built, coach colleagues on prompting and usage, and follow up so tools do not go unused.
- 12. Document what you build clearly enough that someone else can pick it up, and support colleagues onboarding onto new tools.
- 13. Work with vendors and development partners where a build is beyond what can be done in-house.
- 14. Ensure all work follows Maison’s IT processes, standards and data handling rules.
Yêu cầu ứng viên
- 1. A portfolio of things you have built. This matters far more to us than your degree or your job titles. Side projects, internal tools, automations, prototypes: show us and walk us through them.
- 2. Fluency with AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, Lovable, Replit or similar, and evidence you can use them to ship real working software.
- 3. Genuine feel for product and user experience: you can tell a good interface from a bad one, and you design for the colleague who will use the tool.
- 4. Solid understanding of how software works end to end (data, APIs, integrations, what breaks and why), whether you learned it formally or taught yourself.
- 5. Strong practical judgement with AI and Large Language Models: structured prompting and knowing where AI genuinely helps versus where it does not.
- 6. Comfort with workflow automation and integration concepts: triggers, conditions, branching, error handling and retries. Exposure to n8n, Zapier, Make or similar is a strong plus.
- 7. Ability to talk to business colleagues, understand what they need, and turn it into something working without a long specification process.
- 8. Curiosity and self-direction. This field changes monthly and we expect you to keep up on your own.
- 9. Good command of English for reading, writing and day-to-day communication.
- 10. No computer science or engineering degree is required. Candidates from any background, including self-taught, are welcome if the work speaks for itself.
- 11. Experience in e-commerce, retail or omnichannel operations is a plus, as is familiarity with platforms such as Haravan or Salesforce Commerce Cloud
Thông tin tham khảo
- Thị trường tại Hồ Chí Minh
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- Nguồn tin
- Nguồn: CareerViet · đăng 12/08/2026
Vị trí tương tự
Xem tất cả việc làm
Digital Product Executive (HO - 000268_SHO-ONL-094-096-091-2)
CRC Sports & Lifestyle Việt Nam
Đăng 12/08/2026
