Strategic Product Lead (Health AI)

Overview

Responsibilities

• Define the long-term vision for AI product integration across multidisciplinary clinical departments.
• Collaborate with data science teams to ensure machine learning models meet rigorous medical standards.
• Navigate complex regulatory pathways including FDA or CE Mark certification processes for medical software.
• Manage relationships with hospital executives and clinical stakeholders to ensure product adoption and alignment.
• Oversee the data privacy and security protocols necessary for handling sensitive patient information.
• Evaluate clinical outcomes and operational metrics to validate the impact of AI tools on patient care.
• Coordinate the deployment and maintenance of AI infrastructure within existing hospital information systems.

Qualifications

• A graduate degree in health informatics, computer science, or a related healthcare field is required.
• Extensive experience in product management specifically within the medical technology or digital health sectors.
• Demonstrated knowledge of clinical workflows and the challenges of healthcare software integration.
• Proven track record of managing products through regulatory compliance and quality management systems.
• Expertise in data privacy regulations such as HIPAA or GDPR as they apply to medical data.

Nice to have

• A doctoral degree or medical qualification providing deep clinical domain expertise is highly beneficial.
• Experience with large-scale electronic health record system integrations and interoperability standards.
• Direct experience leading teams through the successful commercialization of software-as-a-medical-device.
• Active participation in health technology standards organizations or regulatory working groups.

Work environment

• Work is typically conducted in a hybrid arrangement between corporate offices and clinical sites.
• The culture is highly collaborative, requiring frequent interaction with physicians, engineers, and legal counsel.
• Standard professional hours are expected, though implementation phases may require occasional evening or weekend oversight.
• Travel is often required to visit hospital networks, attend medical conferences, and meet with regulatory bodies.
• Tools utilized include product management software, data visualization platforms, and clinical simulation environments.

Benefits & growth

• Compensation packages usually include high base salaries supplemented by performance-based bonuses.
• Equity grants or long-term incentive plans are common in private sector health technology firms.
• Career progression often leads to executive leadership roles such as Chief Product Officer or VP of Innovation.
• Professional development is supported through specialized training in regulatory science and artificial intelligence ethics.