AI Solutions Lead Job Genesis Analytics

AI Jobs, Genesis Analytics Jobs.

Requirements

Job Title: AI Solutions Lead (Impact & Emerging Markets)Location: Kenya, South Africa, Rest of Africa remoteThe Role in a Nutshell

Genesis Analytics sits at the intersection of high-stakes development and cutting-edge technology. As our AI Solutions Lead, you aren’t just managing products; you are architecting impact. You will translate the complex needs of global funders (The Gates Foundation, World Bank, etc.) into scalable, ethical, and technically sound AI interventions that actually work in emerging market contexts.

Must Read>>>Why Your “Basic” CV Is Costing You Senior Roles

Key Responsibilities

• Business Origination & Advocacy: Identify “AI-ready” problems within the portfolios of major impact funders. You’ll lead the narrative, helping non-technical stakeholders understand how AI can move the needle on health, education, climate, agriculture, etc.
• Technical Product Ownership: Define the roadmap for AI-driven tools. You will oversee the full lifecycle from discovery and data auditing to deployment and M&E (Monitoring & Evaluation).
• The “Translator” Function: Bridge the gap between data science teams and domain experts. Serve as the vital link between data science teams and domain experts, ensuring that technical complexity never obscures business value.
• Unified Project Orchestration: You serve as the primary bridge between internal teams and external subcontractors, harmonizing disparate workstyles and technical workflows to ensure all contributors are aligned with a single, cohesive strategy.
• Ethical Oversight: Ensure all solutions adhere to Responsible AI principles, specifically focusing on bias mitigation in diverse, non-Western datasets.

Technical Competencies

To earn the respect of our engineering partners and ensure project success, you should possess:

• ML Literacy: A deep understanding of the Machine Learning lifecycle – from data ingestion and feature engineering to model deployment and drift monitoring.
• Architectural Fluency: Ability to discuss Cloud vs. Edge computing, API integrations, and LLM orchestration (RAG, fine-tuning) with clarity.
• Data Strategy: Expertise in assessing data quality in “noisy” environments. You should know what makes a dataset “fit for purpose” for training.
• Framework Familiarity: High-level understanding of the tech stacks common in the field (e.g., Python, PyTorch/TensorFlow, AWS SageMaker, or Azure ML).

Business & Strategy Competencies

• Consultative Selling: Proven ability to write winning proposals for multilateral organizations and navigate the procurement nuances of the development sector.
• Strategic Intuition: Ability to distinguish between an “AI hype” project and a sustainable, high-impact solution.
• Stakeholder Management: Experience managing high-level relationships with government officials, NGO directors, and private sector partners.

Experience & Qualifications

• The Background: 6+ years of experience, ideally split between technical product management and strategic consulting/international development.
• The Education: A degree in Computer Science, Data Science, or Engineering is preferred, but an MBA or MPA with a heavy focus on Digital Transformation is also highly valued.
• The “Emerging Market” Edge: Direct experience working in or building tech for Sub-Saharan Africa, Southeast Asia, or Latin America.

Must Read>>>Interview gone wrong? Here are 3 strong ways to recover it

How to Apply

Click here to apply