(Senior) Manager, AI Transformation

(Senior) Manager, AI Transformation

IDinsight is hiring an entrepreneurial Manager to execute and grow our external AI Transformation Advisory practice. You will lead AI transformations for external clients focused on generative AI, from driving adoption to ensuring safe deployment, optimizing workflows, and building custom solutions.

The Manager will be a part of our Impact & Transformation team, which drives organizational transformation by bringing data to bear on organizational decisions and leads initiatives, especially our internal generative AI transformation, that increase our impact and cost-effectiveness.

This role will report to Rob Sampson, Senior Director of Transformation.

What You'll Do

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.
• Product skills: Experience conducting user research, translating fuzzy problems into clear solutions, defining problem statements, and validating assumptions through interviews and data.
• Analytical rigor: Strong problem-solving skills with the ability to measure impact through data. Comfortable with advanced Excel/Google Sheets or SQL/R/Python.

Bonus:

• Experience living and working in low-income country settings.
• Experience working within social sector organizations, especially nonprofits, research organizations, consulting organizations, or foundations.
• Ability to collaborate with technical teams building AI solutions and agents.
• Knowledge of agile/lean methodologies and rapid experimentation frameworks.

Not required:

• Data science or data engineering background. This role will likely not require heavy coding.

Professional development

Skill and career development are core to IDinsight's values and long-term impact strategy and have been noted as highlights of teammates experiences. IDinsighters receive significant mentorship from IDinsight leadership, support from talented peers, and considerable autonomy when ready. They maintain professional development plans and are provided stretch opportunities designed to strengthen various skills. Real-time feedback is embedded in our culture, and a formal structure enables maximum professional growth. Additionally, teammates have access to an annual professional development stipend that they are encouraged to explore their career interests and develop their skills.

Nuts & bolts

Location

This position will be based in one of IDinsight's offices (Rabat, Dakar, Lusaka, Nairobi, New Delhi, Manila), with a preference for New Delhi.

Start date

The start date of this position is flexible, although there is the potential to start almost immediately. We expect a minimum one-year commitment, with regular professional development conversations and potential for a long-term career at IDinsight.

References

Applications should include three references, including email, phone, and title. Briefly state in what capacity you worked with each reference.

Work authorization

IDinsight can sponsor employment visas for all nationalities; however, we will prioritize candidates who do not require IDinsight to sponsor work authorization in the aforementioned countries. All candidates not currently located in our country offices listed above will be expected to relocate to the office location at the onset of their employment.

Compensation

Compensation and benefits are commensurate with the qualifications and experiences IDinsight is hiring for and are competitive within the global development sector. We are especially proud of the people-focused benefits we offer, including comprehensive international health insurance, including mental health coverage; paid vacation, sick, and parental leave; relocation benefits; a travel stipend; technology and work-from-home stipends; a professional development budget; and more. Please note, as a non-profit, we are unable to provide compensation similar to leading private sector organizations.

How to apply

Please apply through the link attached in this post. Applications will be reviewed on a rolling basis. The application asks various questions for us to get to know you and requires a CV and cover letter.

Please ensure that your CV includes relevant professional and personal experience and details on academic qualifications. CVs can range from one to two pages. Please note that headshot photographs, parental information, birth dates, marital status, and other personal information not relevant to the application do not need to be included in your CV.

More information, including details on IDinsight's hiring process and frequently asked questions, can be found online at IDinsight Careers. Any queries should be directed to [Confidential Information].