Technical AI Product Manager – Clinical Data

About the Role

We are 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, healthcare data, stakeholder management, and product lifecycle management. This role will work closely with Data Scientists, AI Engineers, Clinical SMEs, and Business Stakeholders to deliver innovative AI-driven healthcare solutions.

Responsibilities

• Product Strategy & Roadmap
  • 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.
• AI Product Management
  • 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.
• Clinical & Data Management
  • 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.
• Stakeholder Management
  • 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.