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Strong Tier-1 brand but senior, specialized healthcare ML role reduces applicant density.
Requires healthcare PHI/HIPAA knowledge and domain expertise, limiting cross-industry transferability.
Explicit 12-year requirement plus healthcare, MLOps, and PHI/HIPAA mandates create strict filters.
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Lead the development and operational management of AI, GenAI, and ML health system solutions, including clinical decision support, population health, and operational efficiency use cases.
Architect and build production-grade AI pipelines and workflows (RAG, MCP connections, agentic AI, MLOps) while managing global delivery teams and engaging executive health system leaders.
Drive continuous improvement in healthcare AI engagements, ensuring alignment of AI initiatives with clinical, financial, and operational priorities for measurable impact.
Bachelor's Degree mandatory.
Minimum 12 years of experience with significant healthcare data science, health IT, or AI solution development exposure.
At least 6-7 years experience working within a health system.
Work Experience Required: 12+ years in healthcare AI/data science; Notice period: Not explicitly mentioned in the JD.
Experienced leader capable of managing large, global teams delivering regulated, HIPAA-compliant healthcare AI solutions across clinical, operational, and revenue cycle domains.
Strong domain expertise in healthcare value chain including clinical, pharmacy, claims, and finance data with hands-on experience in advanced AI/GenAI technology stacks and cloud deployment (Azure, AWS, GCP).
Strategic communicator skilled in translating complex AI concepts to senior healthcare stakeholders and driving solution adoption for measurable clinical and financial outcomes.