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PxD in Mumbai, India is seeking a Senior Program Manager to build and lead an embedded PMU within the Maharashtra Department of Agriculture. You will guide AI-enabled policy work, engage government stakeholders, and coordinate cross-functional teams across technology, data, and public service delivery.
The role requires strong leadership, stakeholder management, and the ability to translate priorities into executable work plans while ensuring timely, budget-conscious delivery and rigorous
Title: Senior Program Manager, Embedded Government Team Lead
Location: Mumbai, India
Position: Full-time
Date Posted: 18 August 2026
Application deadline: September 11, 2026, 5 pm IST (applications may be reviewed as they are submitted)
PxD is looking for a Senior Program Manager to build and lead an embedded Project Management Unit (PMU) within the Ministry of Agriculture, Government of Maharashtra. You will lead a portfolio of work spanning the use of AI for Agriculture, evidence-based policy support, and scaling of digital technologies to improve the livelihoods and resilience of smallholder farmers across Maharashtra. The PMU exists to provide demand-driven support to the Department, responding to its priorities on AI-enabled decision-making and inclusive service access for farmers, and will work across multiple parallel workstreams spanning technology deployment, data and analytics, and public-sector service delivery. You will build and lead a cross-functional team spanning policy staff, data scientists, technologists, program and research staff. This position is based in Mumbai, with regular engagement and travel to Pune and district-level offices.
PxD is a rapidly scaling global non-profit that harnesses the power of technology, data science, and behavioral economics to provide targeted information to farmers in low- and middle-income countries. Providing the right information to the right people, in the right way and at the right time, increases incomes, protects the environment, and improves well-being. We are evidence-based: we test our interventions with randomized controlled trials to prove our impact and cost-effectiveness, and to simultaneously learn from and improve our service. Few interventions are as cost-effective as ours.