Sitting at the vital intersection of AI technology, product strategy, and public health systems, the AI Transformation Lead – Health will own the design, deployment, and scale-up of AI-driven health interventions across target geographies in the Global South.
You will serve as the domain-expert bridge between clinical/public health realities on the ground and core machine learning engineering teams. You will be responsible for translating complex public health challenges and live donor funding opportunities into scalable AI product roadmaps, embedding these solutions directly within government health workflows, and driving health portfolio expansion across low- and middle-income country (LMIC) settings.
Key Responsibilities
A. Product Strategy and Ownership
- Define the vision, roadmap, and success metrics for one or more AI-powered health products.
- Translate ambiguous public health problem statements and clinical requirements into transparent product strategies, priorities, and functional specs.
- Ensure alignment between AI product goals, ministry objectives,
and broader institutional health priorities.
- Continuously refine product direction based on field data, user feedback, and evolving public health needs.
B. End-to-End Product Execution
- Lead the full product lifecycle from field discovery and solution design to deployment and iteration.
- Work daily with engineering and machine learning teams as the core clinical domain expert to build high-quality, practical solutions.
- Drive structured execution through sprint planning, backlog management, and release cycles tailored to low-resource settings.
- Maintain a sharp focus on usability, clinical reliability, and real-world applicability in primary and secondary healthcare environments.
C. AI Solution Deployment and Integration
- Anchor the deployment of AI solutions directly within government health systems and public sector workflows.
- Adapt products to complex local contexts, including infra
📌 AI Transformation Lead – Health (Delhi)
🏢 Arthan
📍 Delhi
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