Negotiable
Undetermined
Remote
Remote
Summary: The AI Product Manager role focuses on leading the development of AI/ML-based products within the Healthcare and Pharmacy Benefits Management (PBM) sectors. Candidates should possess over 12 years of experience in technical product management, with a strong emphasis on healthcare workflows and regulatory environments. The position requires collaboration with cross-functional teams and strong analytical skills to drive product success. Excellent communication and stakeholder management abilities are essential for this role.
Key Responsibilities:
- Lead the development of AI/ML-based products in the Healthcare/Pharma sector.
- Manage product lifecycle and ensure alignment with healthcare workflows and regulatory standards.
- Collaborate with engineering, data science, and compliance teams.
- Utilize strong analytical skills to inform product decisions and strategies.
- Engage with stakeholders to communicate product vision and updates.
Key Skills:
- 12+ years of experience as a Technical Product Manager.
- Strong experience in the Pharmacy Benefits Management (PBM) domain.
- Proven track record with AI/ML-based products or data-driven platforms.
- Deep understanding of healthcare workflows and clinical data.
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication and stakeholder management abilities.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Job Title: AI Product Manager Healthcare/Pharma (PBM)
Experience: 12+ Years
Required Qualifications
12+ years of experience as a Technical Product Manager, preferably in Healthcare/Pharma
Strong experience in PBM (Pharmacy Benefits Management) domain is mandatory
Proven track record of managing AI/ML-based products or data-driven platforms
Deep understanding of healthcare workflows, clinical data, and regulatory environments
Experience working with cross-functional teams including engineering, data science, and compliance
Strong analytical, problem-solving, and decision-making skills
Excellent communication and stakeholder management abilities