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.
- Minimum of 3 years work experience in a similar role.
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
Job Application Guidelines
Registration:
- Go to https://erecruitment.kra.go.ke/login and then click on the ‘Register’ button to start the application process.
- After registration, you will receive an email enabling you to confirm your email address and complete your registration.
Log on:
- After registration go to https://erecruitment.kra.go.ke/login
- Key in your username and password then click on ‘Log in’ to access your account.
- After successful log in, the system will open the ‘Applicant Cockpit’.
Candidate Profile (To create or update applicant detail):
- On the ‘Applicant Cockpit’ page, go to the tab ‘Candidate Profile’.
- Click on ‘My Profile’ to create and update your profile.
- Follow the instructions to complete your profile.
- The process will end by clicking the tab “Overview and Release”.
- Ensure you click the check box on the page to complete the profile.
Application process:
- To view the open job postings, click on the tab ‘Employment Opportunities’ on the ‘Applicant Cockpit’ page.
- Under the heading ‘Job Search’ click the ‘Start’ button to view all available vacancies.
- Click on the Job posting to display the details of the position.
- To apply for the position, click ‘Apply’ button at the top of the page.
- Follow the instructions to complete and submit your application.
- Kindly note that all mandatory fields must be completed.
- To complete the process of application, click the ‘Send Application Now’ button after reviewing and accepting the ‘Data Privacy Statement’.
In case of any challenges, please send your email query to isupporthr@kra.go.ke
If you experience any delay in receiving an email notification at the end of the e-recruitment registration process, please refresh your email. In case of any challenge, please send your query to isupporthr@kra.go.ke
Kenya Revenue Authority does not charge any fee at any stage of the recruitment process (application, shortlisting, interviewing, and/or offer)
