Head, Data, Analytics and AI

Kenya Airways is seeking a Head of Data, Analytics, and AI to lead its strategic initiatives in leveraging data-driven insights and artificial intelligence. The airline, a prominent African carrier with extensive African and global routes, emphasizes innovation in connecting Africa to the world through its Nairobi hub. This role focuses on driving operational efficiency, customer experience enhancement, and competitive advantage through advanced analytics and AI technologies.

What it offers

This position involves direct oversight of data strategy, analytics teams, and AI implementations across Kenya Airways. Key responsibilities include developing data governance frameworks, optimizing predictive analytics models, and integrating AI solutions to improve decision-making and service delivery. The role will also collaborate with cross-functional teams to align data initiatives with business objectives.

Who can apply

Applicants must hold a relevant advanced degree (e.g., Master’s or PhD) in Computer Science, Data Science, AI, or a related field. Experience in leading data analytics teams, AI development, and operational transformation in a large-scale organization is essential. Prior work in the aviation or tech sector is a plus.

What you'll do

• Lead data strategy and analytics initiatives, ensuring alignment with Kenya Airways’ business goals.
• Oversee AI projects, including model development, deployment, and continuous improvement.
• Drive operational efficiency through data-driven insights and automation.
• Collaborate with stakeholders to implement data solutions across departments.
• Ensure data security, privacy, and compliance with industry standards.

How to apply

Applicants should submit:

• A detailed CV highlighting relevant experience and achievements.
• A cover letter explaining how their background aligns with the role’s requirements.
• Portfolio or case studies demonstrating experience in data analytics, AI, or similar roles.

Good to know

• Location: Nairobi, Kenya (hybrid or fully remote options may be considered).
• Employment type: Full-time, permanent position.
• Salary: Competitive, based on experience (no explicit amount provided).