Lead, Health Analytics and AI Unit, Digital Health
Lead the Health Analytics and AI Unit, driving AI and data-driven policy solutions.
Overview
Lead the Health Analytics and AI Unit, driving AI and data-driven policy solutions.
You have:
- Bachelor's or master's degree in data science, statistics, computer science, public health, economics, or a closely related field.
- 10 or more years in data science, analytics, or AI, with experience leading teams and owning delivery in complex, multi-stakeholder settings.
- Demonstrated experience of managing technical teams and leading large technology transformation initiatives, from design through adoption, preferably in a government, public sector, or large institution setting.
- Deep, hands-on data-science skills, including forecasting, risk stratification, anomaly detection, interpretable modelling, and applied use of large language models (LLMs) and modern AI;
- A good working understanding of AB PM-JAY and ABDM, including their data, operations, and policy context.
- Familiarity with health financing, for example claims, reimbursement, or working-capital concepts, sufficient to scope and steer framework development for the NHA.
- Direct experience working with AB PM-JAY, ABDM, or comparable government health-scheme data.
- Familiarity with the DPDP Act 2023 and SAHI, and with privacy-safe modelling.
- Proven people-leadership skills: managing, motivating, and developing technical talent, and leading change through the phases of a large technology transformation.
- Strong programme-management discipline: planning, prioritisation, risk management, and clear, leadership-ready communication.
Potential interview questions
| Can you provide an example of how you've used data analytics to influence a key decision in your previous roles? | This assesses your practical experience and ability to translate data into actionable insights. | Highlight specific projects where your analytical insights led to impactful decisions. |
| Describe a time when you managed a team through a complex project. What challenges did you face and how did you overcome them? | This evaluates your team management and problem-solving skills under pressure. | Pro members can see the explanation. |
| How familiar are you with the AB PM-JAY programme and its operational challenges? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain a technical concept related to AI to a non-technical audience? | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies would you implement to ensure data privacy in health analytics? | Pro members can see the explanation. | Pro members can see the explanation. |
| Give an example of a time when you had to pivot due to unforeseen circumstances in a project. How did you handle it? | Pro members can see the explanation. | Pro members can see the explanation. |
| What is your approach to fostering collaboration among different stakeholders in a health project? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you ensure that your team stays updated with the latest developments in AI and data science? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 3 days ago
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Updated 1 day ago
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Source:
clintonhealthaccess.org
