Product Manager

About Narayana Health:

Narayana Health is headquartered in Bengaluru, India, and operates a network of hospitals in India and Overseas. Our mission is to deliver high-quality, affordable healthcare services to the broader population. Narayana Health Group is India’s leading healthcare provider and one of the largest hospital groups in the country with a network of 21 hospitals, 5 heart centres, and 19 primary care facilities. The NH group treats over 2.6 million patients every year from over 78 countries, covering 30+ medical specialities.

For more details, please refer to our website at: https://www.narayanahealth.org

About Medha AI:

Medha AI

For more details, please refer to our website at: https://www.medha.health

About the Role:

Product Manager (PM)

technology, product strategy, and domain problem-solving

Key Responsibilities:

Solution Design & Problem Solving:

• Own and lead solution design across

  data analytics, automation, and AI bots

  for clinical, operational, financial, and patient-experience use cases.
• Crack first-time problems, structure ambiguous business requirements, and create

  reference architectures, prototypes, and reusable solution templates

  .
• Evaluate feasibility, ROI, data availability, and implementation considerations for proposed solutions.
• Translate innovative solutions into

  productized components, frameworks, playbooks, accelerators, and reusable modules

  that speed up project execution.
• Ensure solution artefacts are

  consistent, standardised, and scalable

  across the network.

Technical Leadership:

• Provide hands-on technical guidance to data engineers, analysts, ML engineers, and architects during prototyping.
• Conduct

  technical due diligence, vendor evaluation, tooling assessments, and architecture reviews

  .

Cross-functional Collaboration:

• Work with the Business Team to validate requirements, scope MVPs, and drive adoption readiness.
• Mentor the Delivery Team to ensure solutions are implemented as designed and serve as an escalation point for complex issues.
• Partner with clinical, operations, and IT counterparts to ensure solutions align with compliance, data governance, and workflow realities.

Roadmap & Strategy:

• Own the roadmap for reusable AI/analytics assets and shape long-term productisation strategy.
• Identify whitespace opportunities for automation, analytics, AI augmentation, and digital workflow redesign.
• Track market trends, AI maturity, vendor landscape, and hospital digital transformation approaches.

Qualifications:

Educational Background:

• Must-Have MBA or equivalent degree from a Top-tier B-school

  with strong technology specialisation or product/strategy focus (preferred).
• Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related fields would be preferred.

Professional Experience:

• Strong background (4+ years) in

  product management or business analytics, automation, or AI solutioning

  .
• Experience with:
• Data platforms, BI tools, and analytics solutions
• Conversational AI, RPA, BPM, or healthcare automation use cases
• Machine learning, predictive modelling, or AI workflows (bonus)
• Proven experience working cross-functionally with

  business product teams and delivery/engineering teams

  .

Domain Advantage:

• Healthcare or hospital systems experience is a strong plus

  , especially exposure to:
• Clinical workflows.
• Patient journey analytics.
• Operational efficiency.
• EMR/EHR interoperability or HIS systems.

Core Skills & Competencies:

• Strong problem-structuring and analytical mindset.
• Proven ability to

  convert business ambiguity into technical solutions.

• Strong understanding of

  data lifecycle, ML lifecycle, cloud architectures, and automation frameworks.

• Excellent communication, storyboard development, and stakeholder management skills.
• Comfortable with evangelising solutions, running workshops, and influencing non-technical stakeholders.

Success Outcomes:

• First-time problems consistently cracked and transformed into

  repeatable solution templates.

• Delivery team efficiency improved through

  pre-built components, accelerators, and playbooks.

• Faster implementation cycles and higher solution standardisation.
• Increased business confidence in scaling analytics and AI across the hospital chain.