Responsibilities
The General Manager: AI Centre of Excellence will:
Define and drive the strategic vision, ensuring alignment with the organization's broader digital transformation and business strategy
Lead the design and implementation of enterprise AI infrastructure, ensuring scalability, security, and seamless integration with existing IT ecosystems
Oversee AI program governance, ensuring AI initiatives adhere to regulatory requirements, ethical AI principles, and organizational compliance frameworks
Ensure development of architecting scalable, high-performance AI platforms tailored to meet the unique requirements of MTN applications, such as customer service automation, predictive maintenance, network optimization, and fraud detection in alignment with business objectives
Oversee the design and implementation of robust, scalable, and innovative AI solutions, managing the entire end-to-end AI solution blueprint and roadmap ensuring alignment with the MTN's technical and architectural standards
Oversee the design of scalable, modular solutions that efficiently accommodate growing data volumes, user demands and evolving business needs, while enabling future upgrades and AI advancements
Develop a scalable AI infrastructure strategy aligned with enterprise-wide digital transformation goals, ensuring a high-performance and secure foundation for AI workloads
Develop AI performance tracking mechanisms, defining clear KPIs to assess the effectiveness of AI initiatives and optimize AI model performance
Drive continuous improvement in AI deployment methodologies, adopting best practices to accelerate AI model development, testing, and deployment
Establish AI ethics and risk management guidelines, ensuring AI solutions align with MTN values and regulatory requirements
Oversee AI infrastructure investments, ensuring alignment with long-term business objectives and emerging technology trend
Identify emerging AI technologies and assess their potential impact on business operations, positioning the organization for future AI advancements
Oversee AI data management and governance, ensuring AI models are trained on high-quality, unbiased data to produce reliable and ethical outcomes
Lead the strategic establishment and ongoing governance of standards, processes, and frameworks across all AI programs, ensuring the programs comply with industry best practices and strict adherence to regulatory requirements
Qualifications
Education:
Bachelor's degree in Computer Science, Data Science, Information Technology or a related field
Relevant certifications in AI/ML, Cloud Architecture (preferred)
Experience:
10+ years of experience in AI Strategy, deployment, and optimization, ideally within large-scale telecom environments
Proven track record of leading AI strategy, governance, and execution at scale within large organization
Expertise in AI infrastructure, Solution Architecture, cloud platforms, and enterprise AI applications across industries
Strong experience in AI governance, ethics, risk management, and compliance with regulatory standards
