Information TechnologyFull-TimeSenior-level(6+ yrs)
Job Description
Our purpose is to unlock value in Africa. We use our analytical capabilities to improve decision-making and, through better decisions, to unlock substantial value for our clients and society. While we are the largest economics-based consulting firm in Africa, we use a large number of techniques and approaches to achieve clarity for decision-makers. We are looking for an AI Solutions Lead to join our team in East Africa.
Role Overview
The AI Solutions Lead acts as a bridge between data science teams and domain experts, identifying AI-ready problems within the portfolios of major impact funders and overseeing the lifecycle of AI-driven tools from discovery to deployment.
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: Serve as the vital link between data science teams and domain experts, ensuring that technical complexity never obscures business value.
Unified Project Orchestration: 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.
Competencies
Technical Competencies
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 common tech stacks (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.
Qualifications & Experience
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.
How to Apply
Interested and qualified candidates should apply online via the Genesis Analytics recruitment portal at genesis.mcidirecthire.com.
How to Apply
Interested and qualified candidates should apply through the company's recruitment portal by clicking the following link: Genesis Analytics on genesis.mcidirecthire.com. This will redirect you to the official application platform.
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