The AI Delivery Senior Lead will be responsible for defining and driving the delivery of AI projects across the Group, ensuring that AI initiatives align with business objectives and comply with governance standards. This role will oversee the AI roadmap, manage AI-related risks, and ensure that ethical AI practices are adhered to across all OpCos. The AI Solution Delivery Lead will work closely with both technical teams and business stakeholders to ensure that AI is implemented in a consistent, scalable, and compliant manner across all regions.

1. Project Portfolio Management: Manage the entire portfolio of AI projects, ensuring that they are delivered on time, within scope, and within budget. Prioritize projects based on strategic value, resource availability, and business impact.
2. AI Strategy Execution: Oversee the technical execution of the AI strategy, working closely with AI Engineers, Data Scientists, and Solution Architects to ensure solutions are technically sound, scalable, and aligned with business objectives.
3. Resource Allocation: Oversee the allocation of resources, including human, financial, and technological infrastructure, across AI projects. Ensure that the AI Hub and OpCos have the technical capabilities required to deliver AI solutions effectively.
4. Technical Governance Framework: Design and implement a governance framework that includes rigorous validation and testing of AI models, ensuring that deployments are technically sound, explainable, and aligned with regulatory requirements and internal policies.
5. Compliance and Model Transparency: Ensure that AI models meet transparency and explainability standards, with governance structures in place for continuous monitoring and validation of model performance.
6. Standardization: Develop and maintain standard AI processes, methodologies, and best practices to ensure consistency in AI deployment across OpCos.
7. Performance Monitoring: Establish and track KPIs and success metrics to track the performance and business impact of AI initiatives. Prepare detailed reports on project progress, governance compliance, and risk status for senior leadership.
8. Cross-functional Collaboration: Work closely with the GCTIO, GCSO, Solution Architects, and Business Analysts to ensure that AI initiatives are well-integrated into the business processes and are aligned with the company’s long-term goals.
9. Risk Management: Identify, assess, and manage risks associated with AI projects, including potential legal, ethical, and operational risks.
10. Ethical AI Practices: Promote ethical AI development and use across the Group, ensuring that AI models are transparent, explainable, and free from bias.
11. Training and Awareness: Develop and execute AI training programs to ensure that business units, including OpCos, are educated on AI governance standards and the strategic importance of AI.
12. Change Management: Develop and implement change management strategies to ensure that AI projects are successfully adopted and integrated into business processes across OpCos.