(Senior) Manager, AI Transformation at IDinsight

• 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 we achieve the intended outcomes.
• 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 process 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 custom technical solutions: Identify high-value use cases requiring bespoke engineering (beyond off-the-shelf tools) 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.

• 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 our service offerings based on market feedback and client needs.

• Advance IDinsight’s internal transformation: Support IDinsight’s continuous internal AI transformation, flexing your focus between internal initiatives and external engagements as opportunities and priorities shift.
• Codify our 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 our advice remains cutting-edge.

• Commitment to IDinsight's values and mission.
• 4-12 years in consulting or digital transformation: Experience managing client relationships, managing timelines and budgets, and delivering results.
• Project Management: 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.
• Strong grasp of LLM capabilities and limitations: Strong understanding of LLMs’ superpowers and limitations. Clear sense of risks and how to mitigate them.
• Generative AI implementation: Track record of designing and deploying complex AI agents or automations that solved critical business problems. Experience building Gems, Projects, Artifacts, Custom GPTs, CoPilot Agents, Zaps, n8n workflows, or similar.
• Change management: Able to deploy change management strategies to drive organizational outcomes. Experience with training or workshop facilitation.
• Communication: Able to communicate written and spoken technical and non-technical information to diverse audiences.

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