Technical AI Product Manager – Healthcare

SWITS DIGITAL Private Limited is seeking an experienced AI Product Manager to lead the development and delivery of AI-powered Clinical Decision Support and Clinical Summarization solutions. The ideal candidate will collaborate with Data Scientists, AI Engineers, and Clinical SMEs to deliver innovative AI-driven healthcare solutions.

Responsibilities:

• Define product vision, roadmap, and requirements for AI-powered healthcare solutions
• Prioritize features and enhancements based on business value, clinical impact, and technical feasibility
• Drive end-to-end AI product lifecycle management from concept through production deployment
• Translate business and clinical requirements into functional AI product specifications
• Collaborate with Data Scientists, ML Engineers, and Development teams to deliver AI/ML solutions
• Define success metrics and KPIs for AI product performance and adoption
• Participate in AI model evaluation, validation, and continuous improvement initiatives
• Ensure high standards of clinical accuracy, data quality, and regulatory compliance
• Document complex workflows, business processes, and data requirements
• Support clinical summarization, decision support, and healthcare data initiatives
• Work with structured and unstructured clinical datasets
• Lead discovery sessions, workshops, and requirement-gathering activities
• Partner with clinical, business, operations, and technical teams
• Communicate product vision, priorities, and progress to executive stakeholders
• Manage competing priorities and align cross-functional teams

Requirements:

• 5+ years of Product Management experience
• 2+ years of experience delivering AI/ML-enabled products in a professional environment
• Experience working with Data Scientists, AI Engineers, and technical delivery teams
• Strong experience in requirements gathering, user stories, and product documentation
• Strong analytical and data-driven decision-making skills
• Experience managing stakeholders across business and technical organizations
• Understanding of AI/ML concepts, model evaluation, validation, and performance monitoring
• Excellent communication and presentation skills