AI/ML Product Manager Position Available In Miami-Dade, Florida

AI/ML Product Manager 4.5 4.5 out of 5 stars Miami, FL •

Remote Job Title:

AI/ML Product Manager Job Location:

Remote Job Duration:

6

Months Interview:

Virtual Job Summary:

We are seeking an experienced AI/ML Product Manager with a strong background in the healthcare industry. This role requires deep domain expertise in healthcare operations, compliance, and interoperability, along with a proven ability to manage the full lifecycle of AI/ML-based products. The ideal candidate will have experience working with Microsoft Fabric and related data platforms, and a demonstrated ability to align AI/ML initiatives with business objectives to deliver measurable value.

Key Responsibilities:

Serve as the product lead for AI/ML initiatives, managing the end-to-end product lifecycle – from ideation and discovery to launch, iteration, and long-term maintenance. Leverage your deep understanding of healthcare workflows , regulatory frameworks (e.g., HIPAA), and interoperability standards (e.g., HL7, FHIR) to guide product design and development. Collaborate with cross-functional teams – including data scientists, engineers, business analysts, and clinical experts – to ensure delivery of high-impact, compliant AI/ML solutions. Utilize your expertise in Microsoft Fabric and the Microsoft Data Platform to build and support scalable, efficient data pipelines and analytics frameworks tailored to healthcare use cases. Translate complex AI/ML concepts into clear business value , enabling communication with both technical teams and non-technical stakeholders including executives and healthcare practitioners. Maintain a strong focus on strategic product vision and return on investment (ROI) by aligning product features and technical decisions with broader business goals and operational outcomes. Drive stakeholder alignment and ensure successful adoption of AI/ML features across healthcare teams by delivering products that solve real-world challenges while maintaining data privacy and regulatory compliance.

Required Skills:

Recent Healthcare Industry Experience :

A deep understanding of healthcare workflows, regulatory requirements (e.g., HIPAA), interoperability standards, and data privacy.

AI/ML Product Lifecycle Management :

End-to-end experience managing AI/ML products – from initial ideation and exploration to launch, feedback loops, and ongoing iteration.

Microsoft Fabric and Data Platform Experience :

Hands-on experience working within Microsoft//’s data ecosystem to support enterprise-level healthcare solutions.

Business-Value Communication :

Ability to translate complex AI/ML concepts into business value, and communicate effectively with both technical and non-technical stakeholders.

Strategic Vision & ROI Orientation :

Proven background in developing product strategies with a clear focus on business value, scalability, and return on investment.