AI HealthTech Product Leader

Remotedxb; Dubai; On-site; AED 514,000 - 698,000; Full time

Job summary

Geisinger is seeking a seasoned AI Product Manager to shape the vision and roadmap for a portfolio of AI initiatives. You will lead AI products from discovery through deployment, collaborating with clinicians, data scientists, and engineers to translate complex problems into scalable AI solutions.

You will define success criteria, coordinate with multiple teams, and evaluate options (build, buy, partner) for new capabilities while ensuring alignment with clinical validation requirements and

Qualifications

• 5+ years of product management experience in healthcare or digital health.
• Demonstrated ability to lead AI or data-driven products in complex environments.
• Technical fluency to work with data scientists and engineers.
• Strong communication and stakeholder engagement skills.
• Deep familiarity with healthcare operations, clinical workflows, or revenue cycle.
• Experience defining and tracking product KPIs.
• Bachelor's degree required.

Responsibilities

• Define and drive the product vision and roadmap for a portfolio of AI initiatives.
• Lead AI products through the full lifecycle from discovery to deployment.
• Work with clinicians, data scientists, and engineers to translate problems into AI solutions.
• Establish success criteria and measurement frameworks for each initiative.
• Coordinate across product, platform, and clinical teams.
• Evaluate build, buy, and partner options for new capabilities.
• Ensure AI products meet clinical validation requirements.
• Monitor the competitive and market landscape.

Skills

Product leadership

AI product management

Technical fluency

Communication skills

Stakeholder management

Healthcare domain knowledge

KPIs tracking

Education

Bachelor's degree

Tools

Epic

Job description

Geisinger is seeking a seasoned AI Product Manager to shape the vision and roadmap for a portfolio of AI initiatives. You will lead AI products from discovery through deployment, collaborating with clinicians, data scientists, and engineers to translate complex problems into scalable AI solutions.

You will define success criteria, coordinate with multiple teams, and evaluate options (build, buy, partner) for new capabilities while ensuring alignment with clinical validation requirements and