AI Product Manager (Clinical Summarization & Decision Support)- W2 only

AI Product Manager (Clinical Summarization & Decision Support)

Role: Technical AI Product Manager – Clinical Data
Location: Denver, CO (Remote)

Duration: Long-Term Contract (W2)

Job Summary

We are seeking an experienced AI Product Manager to lead the development and delivery of AI-powered Clinical Decision Support and Clinical Summarization solutions.

Key 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.

Required Qualifications

• 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.