IDinsight is an international development organization that helps policymakers and managers make socially impactful decisions using rigorous evidence. They carefully tailor a wide range of analytical and quantitative tools to enable their clients to design better policies, rigorously test those ideas, and take informed action at scale to improve lives.
As the (Senior) Manager for AI Transformation, you will lead both external advisory engagements and internal organizational changes. This role is dynamic and responsibilities are likely to change over time as the organization learns and opportunities evolve. You will bridge the gap between technical AI capabilities and social impact, managing high-stakes client projects, designing automated workflows, and guiding organizations through the cultural and technical shifts required to adopt artificial intelligence effectively.
Key Responsibilities
Execute AI Advisory Engagements
- Engagement Management: Serve as the primary project manager for external advisory projects. You will own the timeline, budget, and deliverable quality, ensuring a smooth project execution.
- Client Advisory: Act as the primary day-to-day interface for clients. You will guide them through the transformation process, troubleshooting roadblocks, maintaining trusted relationships, and ensuring intended outcomes are achieved.
- Change Management: Execute change management plans, including designing training materials, setting up champion networks, and facilitating peer learning.
- Workflow Redesign: Design and facilitate workshops and processes to help clients audit their workflows, identify opportunities, and redesign around AI capabilities.
- Build and Deploy Agents: Configure and launch tailored AI agents (e.g., CustomGPTs, Projects, Gems, etc.) and low-code automations (using tools like Zapier, Make, or n8n) that augment or automate client workflows.
- Coordinate Technical Solutions: Identify high-value use cases requiring bespoke engineering and collaborate with IDinsight’s data science team to scope, manage, and deploy these solutions.
- Governance: Design and oversee AI governance frameworks to ensure ethical use and risk compliance.
- Measurement: Deploy learning and impact-focused measurement strategies to support continuous iteration and achieve impact goals.
Support Client Development & Scoping
- Client Scoping: Partner with Directors to find and assess prospective clients.
- Proposal Development: Lead the drafting of technical proposals, concept notes, and pitch decks. Translate complex AI concepts into clear, compelling value propositions for non-technical donors and NGO leaders. Diagnose client AI maturity.
- Thought Partnership: Act as a thought partner to leadership on how to refine service offerings based on market feedback and client needs.
Product and Practice Innovation
- Advance Internal Transformation: Support IDinsight’s continuous internal AI transformation, flexing your focus between internal initiatives and external engagements as opportunities and priorities shift.
- Codify Toolkit: Build assets such as data privacy guidelines, use case libraries, and governance models into repeatable playbooks.
- Continuously Learn: Actively monitor the AI landscape for emerging tools, research, and trends, while experimenting with how advances could help both IDinsight and our clients work better. Ensure advice remains cutting-edge.
Qualifications and Experience
- Experience: 4-12 years in consulting or digital transformation with experience managing client relationships, timelines, and budgets.
- Education: BA/BSc/HND qualification.
- Project Management: Proven ability to manage timelines, deliverables, and stakeholders for complex projects.
- Leadership: Experience leading and developing teams of high-performing early-career professionals; ability to work independently with minimal supervision.
- Technical Grasp: Strong understanding of LLMs’ superpowers and limitations, with a clear sense of risks and mitigation strategies.
- Implementation Track Record: Demonstrated ability to design and deploy complex AI agents or automations (e.g., Gems, Custom GPTs, Zapier, n8n workflows).
- Change Management: Ability to deploy change management strategies to drive organizational outcomes, including training or workshop facilitation.
- Communication: Excellent written and spoken communication skills, with the ability to convey technical information to diverse audiences.
- Values: Deep commitment to IDinsight's values and mission.
How to Apply
Interested and qualified candidates should apply online via the IDinsight portal. You can access the official application form through the following link: https://www.myjobmag.co.ke/apply-now/1194520.
