Senior Manager, AI Transformation

About the role 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 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. 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 our service offerings based on market feedback and client needs. Product and Practice Innovation 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. This role will be dynamic. Responsibilities are likely to change over time as we learn and our opportunities evolve. Qualifications We're looking for a combination of consulting expertise, technical capability, product thinking, and entrepreneurial drive. We value demonstrated ability over traditional credentials. 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. go to method of application »