Own institutional opportunities end to end. You take them from the first conversation through problem definition, scoping, proposal, negotiation, contracting and kick-off, then hand over to the delivery team. | Design the AI concept end to end. You work with senior stakeholders until the problem statement is precise, then work it through to something concrete: what data exists and what does not, which parts need AI and which do not, how it interoperates with the registries, platforms and exchange layers already running, who operates it after we leave, and what it costs to keep running. Our engineers build from your concept note and outline architecture. | Lead the proposals: scope, technical approach, timeline, risk, commercial model and budget. Each one has to work for the institution and for our margins. | Work the ecosystem. Central and state technology departments, digital missions, multilaterals, advocacy networks and the funders backing digital public infrastructure all decide and budget differently. Know how each one works, and who already has systems in production. | Run the pipeline. Keep a clear view of what is live, close what is not progressing, and confirm with engineering, field and evaluation colleagues that what you propose can be delivered. Report progress and risk to the CEO. | Make sure engagements start well. The client and our delivery team agree on scope, success measures and operating model before work begins, and the institution owns what gets built. | Approve every deliverable, proposal and publication in the domain, manage the domain budget for research, reusable materials, conference presence and speculative proposals, and review the scope and price of every proposal before submission. | 12 to 15 or more years in business development, partnerships or institutional growth across government systems, development organisations or major funders. | You have taken a new institutional relationship to a signed, funded contract more than once. | You have led digital public infrastructure or digital governance programmes: registries, identity, payments, data exchange layers, or the services built on top of them. You do not need to have written the code, but you can work closely with the people who did. | You know how public systems and large development institutions work: how decisions are made, how procurement runs, where budgets sit, and what makes an institution adopt something new. | You can design an AI solution end to end for a problem in this domain: data availability, where AI adds value and where it does not, integration, operating model and running cost. You have done this on real systems. | Enough technical depth to hold a credible conversation about AI and data systems, digital public infrastructure, feasibility and architecture, with engineers on one side and non-technical institutional leaders on the other. | You structure and write proposals yourself. | Based in Delhi, with willingness to travel 20 to 30 percent. | Time inside a digital mission, a DPI-building organisation, or a government technology programme. | Current relationships with government departments, state governments or funders active in India and the Global South. | Time in an organisation working at the intersection of evidence, technology and public service delivery. | This position requires successful completion of a reference check and employment verification. | The successful candidate must not be subject to employment restrictions from a former employer, such as a non-compete, that would prevent performance of the responsibilities described. | Candidates must declare any current or recent engagement with a government, multilateral or development finance institution that could present a conflict of interest.