Associate/ Senior Associate, AI Transformation
ID Insight, Inc.
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Benefits offered by this job
Job summary
IDinsight seeks an AI Transformation Associate/Senior Associate to deepen internal and external AI transformations, focusing on generative AI adoption, safe deployment, workflow optimization, and custom solutions. This role spans change management, consulting, and product building, reporting to the Manager of Impact & Transformation.
The position sits within IDinsight's Impact & Transformation team, which drives organizational transformation through data-informed decisions and scalable AI
Qualifications
- 2–6 years in consulting, product operations, or digital transformation.
- AI native; daily use of LLMs; strong prompting, context-building, and bias/hallucination awareness.
- Hands-on AI implementation: no-code AI agents and low-code automations such as Zapier, Make, or n8n.
Responsibilities
- Own workstreams within advisory engagements, ensuring quality and timely delivery.
- Draft clear presentations, memos, and technical docs for non-technical audiences.
- Build and manage trusted advisor relationships with clients.
Skills
Tools
Job description
IDinsight 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.
IDinsight helps leaders combat poverty worldwide by designing, deploying and promoting evidence-generating tools. We tailor the best methodologies to partner needs and constraints to fuse evidence with action. We serve governments, NGOs, foundations and social businesses across Africa and Asia in all major program areas, including health, education, agriculture, livelihoods, finance, energy and governance.
Our approach rests on four pillars:
- Rigorous: We develop and use a wide range of cutting-edge data and evidence tools, including experimental evaluations, monitoring systems, data analytics and visualization, process evaluations, machine learning and more.
- Cost-effective: Every dollar spent is justified by expected impact. If funds could be better used in another way, we say so.
- Timely: Actionable information is delivered in time for client decision-making deadlines.
- Demand-driven: We deploy solutions tailored to partner contexts and needs with no competing agendas.
Our diverse, growing team of roughly 200 outstanding colleagues operates in nearly two dozen countries worldwide. Learn more about our mission and values at www.IDinsight.org.
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:
- 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.
- 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.
- 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.
- 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.
- 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.
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.
- 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.
- Data science or data engineering background. This role will likely not require heavy coding.
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.
This position will be based in one of IDinsight's offices (Rabat, Dakar, Lusaka, Nairobi, New Delhi, Manila), with a preference for New Delhi.
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.
Applications should include three references, including email, phone, and title. Briefly state in what capacity you worked with each reference.
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 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.
IDinsight is committed to reducing power asymmetries in the social sector. Our commitment to diversity, equity, and inclusion reflects our understanding of the need for the sector to abandon unhealthy practices of the past. We wish to be part of a new generation of international NGOs who are honest about this history and transparent about our role in the present. Our commitment is also aligned with the impact of our work.
We seek a workforce that is inclusive of a variety of perspectives that will help us refine and improve our methods and relationships and strengthen the services we provide our clients and their communities or constituencies. The following commitments represent our vision for the IDinsight team:
- IDinsight will have greater representation from the populations with whom we work and the clients we serve.
- IDinsight will have greater representation from the countries in which we work.
- Across all countries in which we recruit, we will seek greater representation from historically excluded communities.
- IDinsight will foster an inclusive work culture that empowers a diverse team to do their best work.
IDinsight is an equal opportunity employer and strives to create a diverse and supportive workplace.
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