FinSense Africa AI Adoption & Enablement Lead Jobs in Kenya



FinSense Africa AI Adoption & Enablement Lead Jobs in Kenya; The AI Adoption & Enablement Lead is the primary change agent driving human adoption of AI across the organization.

The role bridges the AI engineering team and the wider business, translating technical capabilities into practical, everyday productivity gains.

It exists to accelerate safe, responsible AI adoption by cultivating champions, sourcing high‑impact use cases, and embedding AI copilots into workflows.

Key Responsibilities

Adoption Strategy & Planning

  • Develop and own the AI adoption roadmap aligned to the transformation blueprint.

  • Define clear targets for the AI Augmentation Index.

    Training Programme Delivery

  • Design and deliver training curricula, workshops, demos, and onboarding for AI copilots and tools.

    Enablement Content

  • Produce playbooks, quick‑start guides, prompt libraries, FAQs, and success stories.

    Champions Network

  • Build and coordinate a cross‑functional AI champions network and community of practice.

  • Equip champions to drive adoption locally.

    Use‑Case Pipeline

  • Source, qualify, and prioritize AI use cases with business owners and engineering teams.

  • Track use cases from idea to adoption.

    Adoption Measurement

  • Define adoption KPIs and instrument usage tracking.

  • Report progress and impact to leadership and the AI Steering Committee.

    Responsible‑AI Enablement

  • Embed human‑in‑the‑loop, transparency, and responsible‑AI guidance into enablement.

  • Help users understand controls and escalation paths.

    Stakeholder Engagement

  • Partner with business leaders, HR/L&D, Risk, Compliance, and Communications to land initiatives smoothly.

    Feedback Loop

  • Gather user feedback and adoption barriers.

  • Channel insights back to engineering for tool improvement.

    External Thought Leadership

  • Represent the organization at partner forums and industry events.

  • Strengthen thought leadership and employer brand.

    Continuous Improvement

  • Stay current on AI adoption best practices and refine
    enablement approaches.

    Requirements

    Education & Experience

  • Bachelor’s degree in Computer Science, Business, Communications, or related field.

  • Master’s degree is an added advantage.

  • 5+ years in technology adoption, enablement, developer relations, change management, or technical training.

  • Experience in AI/ML or digital transformation programmes preferred.

    Technical Competencies

  • Strong understanding of AI/ML and Large Language Models.

  • Ability to translate AI capabilities into business value (hands‑on coding not required).

  • Proven track record in change management and technology adoption.

  • Skilled in training design, facilitation, and enablement content creation.

  • Excellent communication, storytelling, and stakeholder‑influencing skills.

  • Experience building communities of practice or champion networks.

  • Ability to define and track adoption metrics and turn insights into action.

  • Awareness of responsible‑AI, privacy, and compliance principles.

  • Knowledge of financial‑services context is an advantage.

    Certifications

  • Change‑management (e.g., PROSCI), training/facilitation, or AI/ML foundational certifications are advantageous.

    How to apply

    For more information and job application details, see; FinSense Africa AI Adoption & Enablement Lead Jobs in Kenya

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