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 have a strong background in AI/ML product delivery and will work closely with Data Scientists, AI Engineers, and Clinical SMEs to deliver innovative 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