Remote Sr. AI Product Manager

Location
: Remote (CST or EST preferred)

Duration
: 6-month contract (Perm possible, but not guaranteed)

Day to Day

Insight Global is seeking a Senior AI Product Manager to join one of their healthcare client’s teams. This person will play a critical role in shaping how AI opportunities are identified, evaluated, and operationalized across a leading healthcare and research institution. This individual will serve as the front door for AI across the organization — partnering directly with business, clinical, and research stakeholders to define high-value AI use cases, standardize intake processes, and translate ambiguous ideas into actionable product direction.

This is a highly visible, high-impact role focused on bringing structure to early-stage AI initiatives and ensuring the organization is investing in the right AI opportunities

Must Have
• 7+ years of enterprise product management experien
ce within complex, matrixed organization
• nsProven ability t
o lead discovery conversations with senior stakeholders and translate loosely defined needs into clear, structured product input
• Demonstrated experience working i
n early-stage or ambiguous environments, bringing clarity, prioritization, and forward momentum
• Stron
gAI literacy, including:
• Understanding of AI/ML and LLM-based application lifecycles (use case definition, feasibility, deployment considerations, governance).
• Ability t
o evaluate and shape AI use cases without needing to engineer solutions
• Experience working wit
h cloud platforms (Azure or GCP)and a general understanding of modern data/AI architecture
• Familiarity wit
h enterprise data and AI ecosystems(Databricks or similar preference)
• Exceptional communication and influencing skills; able to act as
a trusted advisor to business and technical stakeholders
• Strong ability t
o bridge business needs and technical feasibility, especially in emerging AI initiatives

Nice to Have:
• sesHealthcare or life sciences experience (hospital, academic medical center, or research environment)
• Experience in regulated or compliance-heavy environments (HIPAA, research governance, data privacy)
• Exposure to AI governance frameworks or intake/prioritization models

Compensation:
$65 -
$75 per hour

Exact compensation may vary based on several factors, including skills, experience, and education.