Locations

• Nairobi - in-person, full time

Deadline

Early decision deadline: 26 December 2025

After that, we will consider applications on a rolling basis.

Role Overview

As a Project Manager, you will lead the delivery of AI and data projects by managing defined workstreams, coordinating day to day activities, and ensuring smooth communication between internal teams and external stakeholders. You will work closely with senior project leads who provide strategic direction and oversight, while you focus on execution, organization, and ensuring tasks move forward as planned. You will engage with clients to understand their needs, manage routine communication, and ensure updates and decisions are clearly documented. Internally, you will collaborate with data scientists, engineers, and product owners to track timelines, anticipate risks, and escalate challenges early. This role is ideal for someone who is strong in structured execution, comfortable coordinating across multidisciplinary teams, and eager to grow into increasingly complex responsibilities within AI and data delivery contexts.

Essential qualifications and skills

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Anyone fulfilling the essential qualifications is encouraged to apply.

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• Project management: At least 3 years of experience managing defined workstreams within larger projects, including planning, task tracking, and coordinating delivery activities
• Problem structuring and requirements gathering: Ability to ask critical questions that uncover clients underlying needs, gather the right inputs to clarify what success looks like, and contribute to developing structured scopes, requirements, and project documentation
• Curiosity about AI driven problem solving: Genuine interest in how AI and data can be applied to real world challenges, with a learning mindset that supports engaging with technical teams and evolving solution areas
• Client engagement: Ability to manage and own day to day client interactions, share routine updates, and support senior leads in expectation setting and decision making
• Multi-stakeholder coordination: Experience coordinating across internal teams and external partners, ensuring quality delivery of outputs, while escalating alignment issues to senior leads when needed
• Communication: Strong verbal and written communication skills, with the ability to synthesize information clearly and present it in structured formats
• Risk management: Ability to identify emerging risks or bottlenecks early and work with senior leads to address them
• Leadership: Demonstrated ability to lead and work effectively with multidisciplinary teams, ensuring clarity on tasks, timelines, and dependencies
• Agile ways of working: Familiarity with iterative delivery approaches that support continuous feedback and improvement