Director/Chief Technology Officer

Description:

- A high-impact executive leadership role driving end-to-end technology delivery across architecture, engineering, platform operations, security, data, and AI-enabled verification systems. The role requires a deeply technical, hands-on CTO who can challenge engineering assumptions, accelerate AI-led development practices, and ensure world-class infrastructure, security, scalability, and global compliance standards.

Working closely with the Chief Transformation Officer and leadership team, the CTO will play a strategic CXO and board-level role while leading technology transformation, innovation, operational excellence, and scalable platform growth across the

- Own, evolve & deliver a multi-year engineering roadmap aligned to business growth targets approved by the CEO.

- Lead the evolution of the new core platform which runs on cloud-native, microservices architecture (AWS/GCP/Azure), and own the long-term Tech strategy..

- Champion AI-first, automation-heavy engineering workflows including AI-assisted coding, code review, and testing tooling.

- Ensure technical decisions are commercially grounded, balancing build vs. buy vs. partner tradeoffs with clear cost-benefit analysis.

2. Engineering Excellence:

- Own end-to-end engineering delivery for the new platform, which includes considerable document processing within a regulated sector doing B2C, B2B & B2G

- Ensure platform scalability to support tens of millions of verifications annually with sub-second response benchmarks.

- Drive consolidation of legacy systems and new platform into a unified, right-sized engineering organisation reducing headcount costs while increasing output & quality.

- Establish shared platform thinking: standardised base platform for most clients; complex bespoke builds reserved for high-value contracts.

3. AI, Data & Intelligent Automation:

- Build and deploy point solutions for increased for automated document verification.

- Implement fraud detection engines

- Leverage LLMs and AI coding tools (e.g., GitHub Copilot, Cursor, Claude Code) to radically increase engineering velocity and reduce cost per output.