Terms of Service: Permanent & Pensionable, upon successful completion of six (6) months probationary period.

Remuneration: As per KRA salary structure

Job Highlights
The Supervisor, Business Artificial Intelligence reports to the Assistant Manager- Business Artificial Intelligence (BAI).

Job Summary
The jobholder shall be responsible for supporting the development and deployment of Artificial Intelligence (AI), drive business intelligence solutions to enhance tax compliance, fraud detection, and revenue forecasting through advanced data analytics and machine learning models.

Duties and responsibilities

• Supervise and coordinate AI and data analytics projects and implement AI- driven strategies for business intelligence.
• Ensure adherence to data governance, ethics, and regulatory compliance in AI initiatives.
  Conduct data analysis and generate actionable insights to improve decision-making.
• Develop and deploy AI models for predictive analytics in tax compliance and revenue forecasting.
• Identify AI- driven solutions for the business, enabling operational efficiency in the Authority.
• Implement automation in business intelligence and analytics using AI and machine learning techniques.
• Provide technical mentorship to Officers in data analysis, AI model development, and implementation.
• Monitor AI model performance and recommend improvements.
• Ensure data integrity and security in all AI applications.
• Prepare technical reports and visualizations to support AI-driven insights

Person specifications
For appointment to this job, the candidate must have:

• A Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Economics, or a related field from a recognized university.
• Certification in AI, Machine Learning, Data Science, or Business Intelligence will be an added advantage.
• Membership to a relevant professional body.

Key Competencies

Sound decision making capabilities
Ethics and integrity
Accountability
Professionalism
Ability to work under pressure
Excellent interpersonal skills
Good awareness of operating environment
Results driven
Risk management and analysis

Interested applicants can apply via this link.