We are an established fintech company based in the UAE seeking an energetic, credible AI advocate to build an AI-enabled culture across the business, where employees know where AI can improve a task, use approved tools well, check the results and share what works. You will bring technology to life through demonstrations, workshops and coaching, then stay close to teams to make the learning stick.
This is a hands-on culture, learning and adoption role. Success is sustained, responsible use that delivers better business outcomes, not attendance or licence numbers. You will work with leaders, IT, Security, Compliance and the AI engineering team; the role does not own enterprise transformation, approve access or replace specialist engineers.
Build momentum and lasting habits
- Translate leadership priorities into a practical adoption plan with team managers.
- Build a network of departmental AI champions and equip them with an ability to reinforce good habits in their teams between formal sessions.
- Create a welcoming learning environment that addresses resistance without hype and celebrates verified improvements.
- Make AI learning part of onboarding and ongoing development.
- Deliver training people can use immediately
- Design role-based learning paths, from first use to advanced workflows, for non-technical staff, managers and early adopters.
- Lead seminars, live demonstrations, build-along workshops and desk-side coaching using realistic business tasks, coordinating accounts and permissions with IT (employees retain control of their credentials).
- Run office hours and create concise guides, short videos and reusable prompts that employees can apply independently.
- Work closely with HR to build resources within the company’s Learning & Development platform.
Turn learning into business improvement
- Identify and prioritise repeatable, low-risk use cases with teams across the business, using approved or synthetic data in training.
- Teach employees to redesign tasks, not just add an AI step: clear instructions, source checking, evaluation and effective human review.
- Maintain a shared library of tested workflows, each with an owner, approved tools, review requirements and evidence of value.
- Test emerging capabilities and propose additions through the company approval process, partnering with engineers where a use case needs integration rather than training.
Responsible adoption
- Teach employees to use approved tools, protect client and company information, verify outputs and review external communications, and partner with IT, Security and
- Compliance on controls and escalation.
- Training must not bypass policy or encourage unsupervised financial or client-facing decisions.
Qualifications
- Experience delivering engaging training, coaching or technology adoption, with demonstrable outcomes. Transferable experience matters more than job title.
- Equivalent practical experience and demonstrated capability matter more than a specific degree or number of years; relevant certifications are welcome.
- Advantageous: financial services, online trading or another regulated environment.
- Advantageous: change management, instructional design, internal communications, workflow mapping or no-code/low-code automation. Software engineering is helpful but not core.
Required Skills & Experience
- Practical fluency with modern generative AI tools, including Claude and ChatGPT, with evidence of using them to improve real business tasks; able to explain what a tool can and cannot do.
- Excellent spoken and written English and strong presentation skills; able to adapt complex ideas for an executive, a specialist or a beginner.
- Sound judgement on confidentiality, permissions, accuracy and risk: tests claims, and knows when to stop a workflow, seek specialist advice or require human approval.
