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 stakeholde rs and translate loosely defined needs into clear, structured product input
- Demonstrated experience working i
n early-stage or ambiguous environmen ts, bringing clarity, prioritization, and forward momentum
- Stron
g AI 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 cas es 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 feasibili ty, 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.