Project Manager

1. Plan, manage, and oversee IT/Data projects end-to-end, from planning and execution to project closure.
2. Ensure projects run according to scope, timeline, budget, and quality standards.
3. Lead cross-functional project teams including developers, data engineers, data scientists, and other stakeholders.
4. Coordinate all parties involved in Data Governance, Data Analytics, and AI solutions.
5. Lead and oversee AI-related projects, ensuring alignment between business objectives, technical implementation, and project deliverables.
6. Identify project risks and implement appropriate mitigation strategies.
7. Prepare project status reports and regularly update management and stakeholders.
8. Apply suitable project management methodologies (e.g., Agile, Scrum, Waterfall).
9. Maintain effective communication across all teams and stakeholders to ensure smooth project execution.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Business, or a related field.
• Minimum 7 years of experience in IT project management.
• Proven experience managing at least 3 full-cycle projects in areas such as data governance, application development, data science, data analytics, and Artificial Intelligence.
• Proven experience leading Artificial Intelligence projects from planning and development through implementation and delivery.
• Strong project coordination and stakeholder management skills, particularly in data governance, data analytics, and Artificial Intelligence projects.
• Solid understanding of Artificial Intelligence concepts, solutions, and project implementation.
• Project management certification such as PMP or prince2 is an advantage.
• Artificial Intelligence-related certifications or completion of relevant Artificial Intelligence courses or training is a plus.