
Key Responsibilities :
1. Strategic Leadership & Innovation Direction
- Provide overall strategic leadership to the Innovation Learning Site, positioning it as a centre of excellence for last-mile telemedicine and AI innovation.
- Identify, incubate, and scale innovative concepts, pilots, and proofs of concept across telemedicine, AI-CDSS, digital public goods, and health system strengthening.
- Translate emerging technologies (AI/ML, data analytics, clinical decision support, digital platforms) into deployable, scalable, and policy-aligned solutions.
- Align innovation priorities with organizational strategy, government priorities (e.g., ABDM, eSanjeevani), and donor expectations.
2. Program Leadership & Execution
- Lead a portfolio of complex programs involving academic institutions, and technology collaborators.
- Ensure high-quality program design, implementation, monitoring, learning, and adaptation.
- Drive disciplined execution while maintaining agility for experimentation and innovation.
- Oversee program budgets, timelines, deliverables, and reporting with strong accountability.
3. Multidisciplinary Team Leadership
- Lead and mentor a diverse, high-performing team comprising:
i. Public health and program professionals
ii. Technology and product teams
iii. AI/ML engineers and data scientists
iv. Researchers and M&E specialists
v. Clinical experts and field teams
- Foster a culture of innovation, collaboration, learning, and ownership.
- Build internal capacity to manage advanced technologies and complex health system engagements.
4. Technology, AI & Product Integration
- Work closely with technology and AI teams to ensure solutions are: Clinically safe and ethical, Operationally feasible at the last mile. Aligned with government workflows and regulations.
- Provide leadership on AI governance, explainability, validation, and responsible deployment in real-world health settings.
- Ensure continuous feedback loops between field implementation and product development.
5. Partner & Ecosystem Engagement
- Identify and engage local philanthropists, HNI to leverage funds/resources for supporting the innovative site.
- Work with partnership and fundraising teams to identify the opportunities for raising funds for the innovation site.
- Serve as a senior representative of with key stakeholders, especially health departments and implementing agencies at the District/State level
- Build and manage partnerships with, Government institutions, Academic and research organizations, Technology partners and startups, Donors and multilaterals
6. Learning, Evidence & Scale
- Ensure robust documentation of learnings, evidence generation, and best practices from pilots and programs.
- Work with the policy advocacy department to support dissemination through policy briefs, publications, learning events, and global forums.
- Contribute to pathways for scale-up and institutionalization within public health systems.
Requirements :
- Postgraduate qualification in Public Health, Medicine, Health Systems, Technology, Management, or related fields.
10+ years of progressive leadership experience, including:
i. Leading large-scale programs or innovation initiatives
ii. Managing multidisciplinary teams
iii. Working in or with public health systems
- At least 3-4 yrs of Experience leading innovation labs, pilot sites, or learning hubs.
- Demonstrated experience in deploying digital health, telemedicine, health technology, or AI-enabled solutions at scale.
- Strong understanding of public health systems, government processes, and implementation realities in LMIC contexts.
- Hands-on exposure to AI/ML, digital platforms, or health data systems (not necessarily technical coding, but strong applied understanding).
- Prior engagement with national digital health initiatives (e.g., ABDM, telemedicine platforms, public digital infrastructure).
- Experience working with donors, multilaterals, or global health organizations.
- Strategic & Systems Thinking - Ability to see the big picture while driving execution.
- Entrepreneurial Mindset - Comfortable with ambiguity, experimentation, and rapid iteration.
- Leadership & People Management - Inspires, mentors, and builds high-performing teams.
- Technology & Innovation Fluency - Able to engage deeply with tech and AI teams and translate between clinical, programmatic, and technical domains.
- Stakeholder Management - Strong credibility with government, partners, and donors.
- Execution Excellence - Strong program management, risk management, and delivery discipline.
- Communication & Influence - Clear, confident communicator at senior levels.
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