Technical Product Manager (Healthcare) - W2 Only

About the role

This is a Technical Product Manager position located in Minneapolis, MN, offering a hybrid work schedule with 3 days onsite per week. The role is offered on a W2 basis.

Responsibilities

• Deliver healthcare technology products end-to-end
• Operate within regulated environments (HIPAA, PHI, healthcare compliance)
• Lead complex healthcare programs amidst ambiguity and organizational change
• Translate clinical and operational workflows into scalable digital solutions
• Identify opportunities where data, analytics, and AI can improve outcomes and reduce administrative burden
• Define product requirements for operational and clinical dashboards, KPIs aligned to quality, cost, efficiency, and experience
• Apply automation and AI to reduce manual effort, improve accuracy, and enhance care outcomes

Requirements

• 10+ years of experience in technology product management or platform product roles
• Proven track record of delivering healthcare technology products end-to-end
• Direct experience with healthcare data, analytics, or AI-enabled solutions
• Hands-on experience operating within regulated environments (HIPAA, PHI, healthcare compliance)
• Demonstrated ability to lead complex healthcare programs amidst ambiguity and organizational change
• Strong understanding of healthcare operations and workflows across payer, provider, and care management ecosystems
• Familiarity with core healthcare domains, including utilization management (UM), care management/case management, prior authorization
• Deep understanding of regulatory, compliance, and patient safety considerations influencing product decisions
• Outcome-driven product mindset with a strong foundation in healthcare and data/AI-first thinking
• Ownership of product roadmap encompassing core healthcare capabilities, data and interoperability frameworks, analytics and AI enablement
• Strong prioritization skills based on clinical impact, operational value, technical feasibility, and risk
• Awareness of challenges related to data quality, lineage, interoperability, and adoption in healthcare environments
• Understanding of key AI use cases in healthcare, including clinical and operational summarization, decision support systems (human-in-the-loop)

Qualifications

• Strong understanding of healthcare operations and workflows across payer, provider, and care management ecosystems
• Familiarity with core healthcare domains, including utilization management (UM), care management/case management, prior authorization
• Experience collaborating with data engineering, analytics, and AI teams to enable reliable reporting and healthcare analytics, support data-driven decision making through insights and AI-powered summarization
• Understanding of data flows across payer, provider, and partner ecosystems
• Experience defining product requirements for operational and clinical dashboards, KPIs aligned to quality, cost, efficiency, and experience
• Experience applying automation and AI to reduce manual effort, improve accuracy, and enhance care outcomes

Skills

• Data and interoperability frameworks
• Analytics and AI enablement
• Defining product requirements for operational and clinical dashboards, KPIs aligned to quality, cost, efficiency, and experience
• Awareness of challenges related to data quality, lineage, interoperability, and adoption in healthcare environments
• Understanding of key AI use cases in healthcare, including clinical and operational summarization, decision support systems (human-in-the-loop)

Benefits

N/A

Pay

N/A

Schedule

Hybrid, 3 days onsite per week