Job Description :

- Lead the Health Analytics & AI Unit (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 strong health data governance across the unit's work, consistent with the DPDP Act 2023 and SAHI.

- Represent the HAAU with govt. leadership and external partners, and perform other responsibilities as requested by the leadership.

Please note - Experience in public policy/ government health scheme and govt. stakeholder management skills are mandatory for this role.

Qualifications:

Required

- 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; this is the primary emphasis of the role.

- 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 org..

Preferred :

- 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.

- Public-sector or large-ecosystem programme experience, including exposure to setting up analytics units.

- Exposure to geospatial analytics and natural-language querying interfaces.

Skills & Traits :

Required

- Ability to translate policy and operational questions into predictive, prescriptive, and scenario-modelling problems, and to deliver decision-grade outputs for senior leadership.

- Strong programme-management discipline: planning, prioritisation, risk management, and clear, leadership-ready communication.

- Proven people-leadership skills: managing, motivating, and developing technical talent, and leading change through the phases of a large technology transformation.

- Hands-on technical fluency in Python, SQL, and modern machine-learning and LLM tooling, sufficient to guide and quality-check the team's technical work.

- A focus on building institutional capability and mentoring, rather than creating personal dependence.

- Excellent analytical (qualitative and quantitative) and communication (written and verbal) skills.

- Ability to think strategically, handle ambiguity, and problem-solve in a fast-paced, limited-structure, multi-stakeholder environment.

- Impeccable integrity; humility and open-mindedness; a learning mentality; tenacity and resourcefulness.

- Willingness to speak up, and then to commit once a decision is taken.

- Fluency in English. Fluency in Hindi or an additional Indian language is an advantage.