:

- Lead the HAAU end to end, owning the unit's workplan, delivery, and relationships with GOI subsidiary leadership.
- Scale the unit's diagnostic and decision-intelligence work towards predictive and prescriptive capabilities, moving from explaining what has happened towards anticipating what is likely to happen and recommending what to do about it.
- Drive the use of AI to generate high-quality, AI-ready datasets, and support governed access to GOI subsidiary data for researchers and partners.
- Get health-financing framework work moving from day one, drawing on a working understanding of public health policy and familiarity with core health-financing and health-economics concepts, until more specialised team members join.
- Translate policy and operational questions from GOI subsidiary leadership into predictive, prescriptive, and scenario-modelling problems, and deliver decision-grade outputs.
- Coordinate the team, manage priorities and risks, and put in place the programme-management discipline (planning,



prioritisation, and leadership-ready communication) the unit needs to deliver at pace.
- Manage and build a high-functioning technical team, including data scientists, AI/ML engineers, and subject matter experts/ specialists.
- Bring structure and discipline to the HAAU's expansion, sequencing workstreams, managing change and adoption with key stakeholders, by drawing on experience of leading comparable large technology transformations.
- Mentor emerging State Health Analytics and AI Units (SHAAUs), building lasting institutional capability rather than personal dependence.
- Embed privacy-by-design and robust health data governance across the unit's work, consistent with the DPDP Act 2023 and SAHI.
- Represent the HAAU with NHA leadership and external partners, and perform other responsibilities as requested by the leadership.

📌 Lead - Health Analytics (India)
🏢 Lagrange Point International
📍 India