Lead Data Analytics & Decision Science

Full-time | Mission-driven | High-impact 

Do you see data as a tool for transformation – a powerful mechanism to reshape systems and save lives? 

About CEL 

Community Empowerment Lab (CEL) is a globally recognised institution working to  transform maternal and newborn health by uniting science with compassion. We are developing  a research-to-scale pipeline to power India’s efforts towards single-digit neonatal mortality by  2030. This pipeline spans across epidemiological studies, deep-sensing formative research to  understand drivers of behaviours and practices, development and evaluation of promising  interventions, and co-designing solutions with stakeholders to take proven interventions to  scale. This initiative is envisaged as a constantly learning and evolving system, with the Data Analytics & Decision Science Unit as its central nervous system, converting raw field data into clarity, foresight, and lifesaving action. 

Your Role 

We are looking for an exceptional leader to establish and anchor CEL’s Data Analytics & Decision Science Unit. This role is for someone who wants their analytical talent to change the life of every newborn and mother in India and the world. 

You will: 

• Lead and nurture a small team of analysts and statisticians 
  

• Architect real-time health intelligence systems 
  

• Identify leading indicators of newborn and maternal risk, healthcare quality, etc. • Consolidate data from available sources to inform priorities and actions at the state  and district levels 
  

• Collaborate with internal and external teams of scientists, stakeholders and policy makers to interpret data and shape action 
  

• Support real-time data needs of ongoing research and programs 
  

• Design and nurture a culture of truthfulness, curiosity, and learning 
  

Who You Are 

You may come from a public health background with a Master’s or PhD in Statistics, data science, statistics, economics, systems engineering, epidemiology, or Bachelor’s degree in a quantitative field with significant applied statistical / data science experience - any field that has trained your mind to see patterns and craft solutions. 

We are open to diverse profiles, but expect: 

• A minimum of 3-5 years of experience in a leadership or direct people management role, with a clear track record of delivery
  

• Strong grounding in statistics (regression, causal inference, sample size, risk modelling) and statistical tools such as R & Python
  

• Experience analysing large, messy datasets
  

• Experience leading teams
  

• Ability to build simple, actionable decision tools
  

• In tune with developments in AI
  

• Excellent written and verbal communication 
  

• A genuine desire to work on maternal–newborn health 
  

Bonus: Experience in health systems, RCTs, geospatial analysis, behavioural economics,  systems dynamics and modelling. 

Enjoy this role if you: 

• Thrive in complex systems and can see patterns others miss 
  

• Think outcome-first, always asking: “What will save lives next?”
  

• Communicate insights with clarity, humility, and empathy 
  

• Comfortable with messy, real-world data 
  

• Believe in the power of science + compassion 
  

• Want your work to matter: truly, deeply 
  

• Can lead without ego and build people up 
  

• Feel energised by field engagement and working with teams on the ground 
  

Why join CEL? 

• You will shape one of India’s most meaningful systems-change missions • You will influence maternal and newborn outcomes at scale 
  

• You will work with visionary leaders and compassionate teams
  

• You will be part of a living, learning, evolving organism – not a bureaucratic structure 
  

Location 

Lucknow, Uttar Pradesh (India). We may consider hybrid arrangements for the right candidate. 

To Apply 

If you find this opportunity aligning with your skills and passion, we welcome you to apply by following these steps: 

• Fill the form it is mandatory; no candidature will be accepted if the form is not filled.
  

• Please share your CV with a covering letter.
  

We kindly request that you include your current and expected salary details, along with your anticipated start date, in your cover letter. 

Only short-listed candidates will be invited to appear for interviews/s (virtual/telephonic/in-person).