To lead, govern, and scale the organization's artificial intelligence and advanced analytics capabilities by defining strategic direction, overseeing enterprise-wide AI and data initiatives, enabling data-driven decision-making, and ensuring responsible, secure, and compliant use of AI in alignment with organizational and national priorities.
- Translate strategic direction into executable AI and analytics plans
- Prioritize and manage AI and analytics use cases within approved scope
- Oversee analytics platforms, tools, and data pipelines
- Ensure alignment between AI delivery teams and business needs
Track performance and benefits realization of AI initiatives
- Oversee the delivery of AI and analytics programs and projects
- Ensure availability, quality, and reliability of data and analytics outputs
- Monitor performance of AI models, platforms, and analytics solutions
- Ensure effective coordination between AI engineers, data scientists, and business teams
Resolve operational risks and escalations related to AI initiatives
- Contribute to the development and refinement of the organization's AI & Analytics strategy, priorities, and roadmap under the direction of the AI Executive Director.
- Lead strategic analysis to identify high-value AI opportunities, quantify expected benefits (cost, efficiency, risk reduction), and recommend use-case prioritization.
- Provide strategic input on AI investment planning (platforms, data capabilities, tooling), including business cases and resource requirements.
- Monitor AI and analytics trends and assess applicability to the organization, proposing innovations and capability enhancements aligned with national and organizational priorities.
- Ensure AI and analytics initiatives are aligned with enterprise strategy, operational needs, and performance objectives, and that outcomes are translated into measurable value realization.
- Support the AI Executive Director with strategic briefings, executive dashboards, and decision-support packs for leadership committees.
