Commercial AI Solutions Specialist

Overview

In this role you will build practical AI workflows that enable Commercial teams to solve high-value problems and demonstrate measurable impact. You’ll own use cases end-to-end—from discovery and prioritisation to prototyping, deployment, and adoption. You’ll collaborate with Commercial and Revenue Operations to deliver quick wins and establish metrics for success. This is a fast-paced, hands-on role focused on turning ambiguity into tangible business outcomes and scalable AI-enabled processes. A strong learning mindset and delivery ownership will help you shape impactful AI solutions for a fintech leader.

Pay / Benefits

• hybrid work model (3 days in office)
• ownership and impact from day one
• growth and learning opportunities
• collaboration across teams
• supportive and inclusive culture
• fast-paced fintech environment

Responsibilities

• Partner with Commercial and Revenue Operations to identify high-value automation opportunities
• Investigate problems, map processes, and define measurable outcomes for use cases
• Build, test, and iterate on prototypes using low-code/no-code or AI-assisted tools
• Lead use cases from discovery through deployment, adoption, and impact measurement
• Design human-in-the-loop workflows, controls, and feedback mechanisms
• Coordinate with data, security, and risk teams for platform approvals
• Enable end users with documentation, demos, training, and iteration
• Track progress, dependencies, risks, adoption, and impact

Key requirements

• Evidence of shipping at least one useful workflow, automation, or AI-powered tool used by real users
• Ability to rapidly learn a new domain and deliver a measurable business outcome
• Experience owning work from an ambiguous problem to a deployed solution
• Strong analytical and data-literacy skills
• Hands-on experience with low-code/no-code platforms, automation tools, or AI-assisted coding
• Structured problem-solving with judgement to prioritise valuable use cases
• Strong stakeholder management and communication, with influence without authority
• Bias toward action, experimentation, and risk-aware governance
• Ability to work independently while escalating material decisions

• Stakeholder management
• Communication
• Influence without authority
• Low-code/no-code platforms
• Automation tools
• AI-assisted coding tools

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