Product Manager

Medha AI; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance

Professional development opportunities

Job summary

A healthcare analytics company is seeking a Product Manager to lead the Solutioning Team. The role requires someone with over four years of experience in product management, specifically in data analytics and AI. Responsibilities include designing solutions, mentoring delivery teams, and collaborating with business stakeholders to enhance healthcare delivery through technology. The ideal candidate will have an MBA and strong technical expertise, particularly in healthcare systems, data platforms, and machine learning.

Qualifications

• 4+ years in product management or business analytics, automation, or AI solutioning.
• Experience with data platforms, BI tools, and analytics solutions required.
• Healthcare or hospital systems experience preferred.

Responsibilities

• Lead solution design for data analytics, automation, and AI.
• Provide hands‑on technical guidance to teams.
• Mentor the Delivery Team to ensure solutions are implemented correctly.

Skills

Problem-structuring

Analytical mindset

Data lifecycle understanding

Machine learning workflows

Communication skills

Education

MBA or equivalent degree

Bachelor’s or Master’s in Computer Science, Engineering, Data Science

Tools

Data platforms

BI tools

Conversational AI

Job description

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 works to simplify healthcare by unleashing the potential of data. With a powerful tech stack, interesting ideas, and inspired co-workers, no dream is too big at Medha Analytics.

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

About the Role:

We are seeking a Product Manager (PM) to lead our Solutioning Team within the Analytics & AI division of a large hospital network. The PM will play a pivotal role in solving first-time problems, shaping scalable solution templates, and developing accelerators that enable rapid, repeatable delivery of analytics and AI-powered products across clinical, operational, and patient experience processes.

This role sits at the intersection of technology, product strategy, and domain problem-solving, working closely with business SMEs, delivery teams, and leadership stakeholders.

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.
• 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.

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