AI Strategist
DistroNairobi, Nairobi CityPosted 5 March 2026
Job Description
Position: AI Strategist
Schedule: Full-time, 4:00 PM and 2:00 AM
Responsibilities:
• Develop and implement a comprehensive AI strategy aligned with company objectives.
• Identify high-value AI opportunities across the organization.
• Define, scope, and prioritize AI projects using frameworks such as ICE (Impact, Confidence, Ease).
• Collaborate with product, finance, operations, and customer service teams to assess feasibility and value.
• Translate complex AI/ML, Generative AI, LLMs, agentic workflows, and emerging technologies into business-friendly insights.
• Support leadership and non-technical stakeholders in making informed decisions.
• Lead prototypes and pilots through the end-to-end innovation funnel.
• Guide deployment, scaling, and continuous improvement of AI initiatives.
• Establish and maintain AI governance standards.
• Ensure compliance with GDPR, CCPA, and ethical AI principles.
• Define KPIs, ROI measurements, and adoption metrics for AI initiatives.
• Provide ongoing data-driven insights to optimize performance and scaling.
Skills & Experience: Required:
• 3+ years of experience in AI/ML strategy, digital transformation, or related roles.
• Strong understanding of AI/ML technologies including LLMs, generative AI, and agentic systems.
• Proven ability to communicate technical concepts to executive and non-technical audiences.
• Experience managing multiple AI initiatives simultaneously.
• Strong working knowledge of data privacy regulations and AI ethics frameworks.
• Excellent stakeholder management and communication skills.
Preferred:
• Experience with AI governance and responsible AI practices.
• Background in insurance, finance, or business consulting.
• Technical degree or certifications in AI/ML, data science, or related fields.
• Familiarity with Azure AI, AWS, and GCP.
• Experience with change management and organizational adoption strategies.
Skills: AI strategy, AI roadmap development, generative AI, LLMs, agentic systems, digital transformation, ICE prioritization, AI governance, responsible AI, data privacy compliance, GDPR, CCPA, KPI development, ROI measurement, cross-functional collaboration, cloud AI platforms, Azure AI, AWS, GCP, stakeholder communication, change management
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