AI Delivery Lead

Company Description

Crown Agents Bank is a vastly growing and regulated UK bank that connects emerging and frontier markets to the rest of the world, using FX and payments technology. We are transforming the way payments and FX move through emerging markets, reducing friction so that more money gets to those who need it. Emerging markets payments are usually challenging, expensive, unreliable and opaque. Our solutions help fix these pain points. Ultimately, we connect traditionally hard-to-reach regions to global financial infrastructure, giving access to the best prices and the fastest, most reliable settlement.

FX and cross-border payments are often complex and expensive, especially when operating in emerging markets. Crown Agents Bank (CAB) wraps its deep and trusted relationships and strength of network around innovative digital capabilities, and cross-border transaction banking solutions to enable fintech, corporates, governments, development organisations and banks to move money to, from, and across often hard-to-reach markets.

Job Description

Reporting directly to the Chief Operating Officer, this position will lead the delivery of new AI-based initiatives at CAB. The role is responsible for identifying and implementing effective solutions to complex business challenges, and for working collaboratively with broader delivery teams to ensure successful adoption across the bank. A deep understanding of data architecture and contemporary systems integration technologies is required, as well as the ability to ensure AI solutions are thoughtfully designed and seamlessly integrated into the organisation’s overall technology ecosystem.

The AI Programme Lead will work in close partnership with cross-functional teams and external stakeholders to deliver scalable, innovative, and ethical AI solutions that align with CAB’s digital transformation objectives.

Role Responsibilities:

The responsibilities for this role cover 5 core areas:

• AI Program Management and Execution:
• Lead the full lifecycle of AI projects, including prototyping, development, deployment, and monitoring.
• Manage a portfolio of AI initiatives, ensuring timely delivery within budget and scope.
• Coordinate a multidisciplinary team of technical resources and business analysts to achieve project objectives.

• Stakeholder Collaboration:
• Partner with the COO and AI specialists to translate the AI strategic vision into actionable projects.
• Work with business units, IT teams, and external partners (e.g. technology vendors) to align AI initiatives with organisational priorities.
• Communicate project progress and outcomes to senior leadership, ensuring clarity on business impact.

• Data and Technology Integration:
• Collaborate with IT and data teams to ensure robust data infrastructure, focusing on data quality, security, and accessibility for AI applications.
• Implement and manage AI tools, platforms, and frameworks selected for the bank’s needs and market constraints.

• Regulatory and Ethical Compliance:
• Ensure AI solutions comply with local and international regulations (e.g., data privacy, anti-money laundering, fair lending practices).
• Enforce ethical AI guidelines, addressing bias, transparency, and inclusivity, particularly for underserved populations in the emerging market.

• Performance Measurement:
• Track and report KPIs for AI initiatives, such as cost savings, revenue growth, customer satisfaction, and risk reduction.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or a related field.
• Any relevant AI specific certifications

Experience:

• 10+ years in technology, strategy, architecture
• Good understanding of LLM and modern AI solutions and approaches creating value through deployment of AI solutions.
• Proven track record of delivering AI or digital transformation projects, preferably in financial services or emerging markets.
• Experience navigating emerging market challenges, such as regulatory frameworks or cultural considerations.
• Strong awareness of AI/ML and its application in business contexts.
• Knowledge of data architecture, cybersecurity, and API integration.
• Strong written and spoken communication skills with a proven track record of effective communication with stakeholders at all organizational levels, up to C-Suite.
• Demonstration of ability to take accountability and lead, taking a value-driven approach to solving problems and seeing them through to completion.
• Adaptability to dynamic market conditions and a customer-centric mindset

Additional Information

• Hybrid working
• Contributory personal pension plan: - Minimum: Employee 2% and Employer 7%. Employer matches contributions in 1% increments to a maximum of: Employee 5% and Employer 10%
• Life Assurance – 4 times annual salary
• Group Income Protection
• Private Medical Insurance – this may include cover for partner and or children at company cost. Cover includes Optical, Dental and Audiology
• Discretionary Bonus
• Competitive Annual Leave
• 2 Volunteering Days
• Benefit Hub