IDinsight
Website:
idinsight.org
Job details:
Associate/Senior Associate, AI Transformation
Location: Dakar, Senegal; Delhi, India; Lusaka, Zambia; Manila, Philippines; Nairobi, Kenya; or Rabat, Morocco
Dinsight is hiring an AI Transformation Associate/ Senior Associate to deepen our internal AI transformation and support our work with external partners. The Associate/Senior Associate will support AI transformation focused on generative AI, from driving adoption to ensuring safe deployment, optimizing workflows, and building custom solutions.
This role sits at the intersection of change management, consulting, and product building. It is perfect for someone who wants to master the practicalities of AI implementation, navigating the messy reality of rapidly advancing technology, data privacy, and organizational behavior.
The Senior Associate 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 Anmol Rawat, Manager, Impact & Transformation.
What You'll Do
You will support AI transformations within IDinsight and for external clients. Your work could be 100% internal or 100% external at any given time. Your work will include:
Project & engagement delivery
- Own workstreams: Manage distinct components of advisory engagements (e.g., design of a no-code agent, or creation of a training module), ensuring high-quality execution and timely delivery.
- Produce high-quality deliverables: Draft clear, compelling presentations, memos, and technical documentation that translate complex AI concepts into actionable insights for non-technical audiences.
- Build and manage relationships: Support managers in building and managing trusted advisor relationships with internal and external clients.
Discovery & workflow diagnosis
- Diagnose pain points: Conduct user research, interviews, and shadowing sessions to uncover bottlenecks where AI can generate the highest return on investment.
- Map user journeys: Translate fuzzy organizational problems into clear, logical process maps to identify specific intervention points for automation or augmentation.
- Prioritize opportunities: Analyze potential use cases based on feasibility, risk, and impact, helping leadership decide what to build and what to skip.
Build & deploy AI solutions
- Configure agents: Build and refine tailored AI agents (e.g., CustomGPTs, Claude Projects, Gems) that solve specific user problems.
- Build automations: Design and implement low-code workflows (using tools like Zapier, Make, or n8n) to connect AI models with everyday tools (email, Slack, CRMs), moving beyond simple chat interfaces to real workflow integration.
- Curate knowledge: Structure and organize institutional data to ensure AI tools have high-quality context to draw from, ensuring outputs are accurate and relevant.
Drive adoption & change
- Facilitate workshops: Lead interactive sessions that guide teams through AI skills like context building, use-case identification, and workflow optimization.
- Design learning materials: Create accessible guides, videos, and cheat sheets accelerate value creation.
- Support champions: Equip champions across teams with the resources and information they need to drive peer-to-peer learning.
Measure Impact & Ensure Governance
- Track success: Deploy learning and impact-focused measurement strategies to support continuous iteration and achieve impact goals. Run surveys, analyze data, and conduct interviews to determine if our tools are actually saving time and improving quality.
- Safeguard quality: Conduct testing and red-teaming of AI tools to identify risks, hallucinations, or biases before widespread deployment.
- Operationalize ethics: Help implement AI governance frameworks, ensuring that every deployment adheres to data privacy and ethical standards.
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.
- 2-6 years in consulting, product operations, or digital transformation: Track record of supporting complex projects and delivering high-quality results.
- AI Power User: You are "AI native" in your work. You use LLMs daily to accelerate your output. You have a strong grasp of prompting strategies, context building, and the limitations (hallucinations, bias) of current models.
- Experience with hands-on AI implementation: Experience building and integrating no-code AI agents (e.g., CustomGPTs, Projects, Gems, etc.) and low-code automations (using tools like Zapier, Make, or n8n) that augment or automate workflows.
- Change Management: Experience supporting organizational change or technology adoption. Strong intuition that tools don't create impact unless people use them. Experience facilitating training, managing attitudes, or helping teams navigate new ways of working.
- Product Thinking: Experience conducting user research, translating fuzzy problems into clear solutions, defining problem statements, and validating assumptions through interviews and data.
- Communication & facilitation: Strong writing and presentation-building skills. Ability to distill technical concepts for non-technical audiences. Experience facilitating workshops or training sessions.
- 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.
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 click the "Apply for this job online" button at the top right by Sunday 16th August 2026. 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. Additionally, we strongly encourage you to use your cover letter to highlight why you want to work for IDinsight specifically and what has prepared you to succeed in the role you're applying for. A customized cover letter is an important part of IDinsight's recruiting process as it allows us to understand your motivations for the position, relevant skills, and clarity of writing.
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 ai.careers@IDinsight.org.
Click on Apply to know more.
