Head of Technology and Data Platform for Embedded Finance Technology

• Develop and execute the Embedded Finance business's technology and data vision, strategy and roadmap in alignment with business objectives
• Drive the design of technology and data architecture, and continuously review priorities based on business and customer needs
• Own delivery of data and technology outcomes with an optimal approach among building, partnering and buying capabilities
• Make conscious decisions on technology trade-offs through data and insight from the market and operational experience
• Identify emerging technologies, tools, and trends in FinTech to future-proof the strategic capability of the business
• Champion experimentations for two-way door design decisions
• Oversee the design, development and deployment of scalable, secure and efficient technology stack to support Embedded Finance vision
• Drive long-term innovation in platform features and architecture design, including technology and data architecture
• Drive the delivery of technology capabilities on time and within budget
• Ensure platform compliance, reliability and resilience
• Report key technology metrics and progress to management
• Represent the Embedded Finance business in technical discussions with partners, vendors, and customers
• Act as a thought leader in fintech to upskill team within the business and promote culture of new technology experimentation

• Proven experience as a CTO or chief data officer, VP of engineering, or similar leadership role in a fintech or technology-driven business environment
• Strong background in scalable architecture, cloud computing (e.g. AWS, GCP, Azure, AliCloud), and modern development stacks
• Expertise in fintech and partnership domain such as digital lending, payment, blockchain, APIs and financial compliance
• Deep understanding of security and regulatory constraints in financial industry
• Experience with data analytics and AI/ML model implementation
• Prior experience working with vendors, partners and managing technical due diligence
• Ability to thrive in a dynamic, entrepreneurial environment
• Excellent communication skills with both technical and non-technical stakeholders
• Strong strategic thinking and problem-solving abilities
• Bachelor's or master's degree in computer science, data, engineering, or a related field

Experience of applying AI/ML technologies to FinTech and trade finance

• Continuous professional development
• Flexible working
• Opportunities to grow within an inclusive and diverse environment