AI Data Scientist Team Lead

Role Description

The AI Data Scientist Team Lead (Manager, AI Platform Engineering) architects end-to-end AI solutions and leads the AI Platform team for Geisinger's AI Department. This is a hands-on technical leadership role, splitting time equally between solution architecture and engineering management (50% technical / 50% leadership).

• Solution architecture across all platform capabilities (agentic AI systems, RAG pipelines, multi-model orchestration, real-time and batch ML infrastructure)
• Requirements gathering and technical specification for AI programs across clinical and operational domains
• Build-vs-buy and technology selection decisions for emerging AI capabilities, including generative AI, foundation models, and LLM applications
• Platform engineering standards, architecture reviews, and governance compliance (HIPAA, AI risk management, responsible AI principles)
• Team roadmap, capacity allocation, and intake triage for platform support requests
• People management, career development, and performance evaluation for 4 direct reports (3 MLOps Engineers, 1 Full Stack Engineer)
• Work direction, priorities, platform standards, and formal performance input for 3 matrixed engineers from partner departments (Sr. Platform Data Engineer, Sr. Software Engineer for Integration & Interfaces, Sr. Platform Engineer)

Qualifications

• 8+ years in data science, ML engineering, or AI solution architecture, with at least 3 years in a technical leadership or engineering management role
• Demonstrated experience designing production ML/AI systems end-to-end: from data ingestion through model serving and monitoring
• Strong fluency in Python and SQL; hands-on experience with Databricks (MLflow, Unity Catalog, Spark) and cloud-native ML infrastructure (AWS preferred)
• Experience architecting agentic AI systems, LLM applications, or RAG pipelines in production settings
• Proven ability to translate ambiguous business problems into technical specifications and actionable engineering plans
• Track record of mentoring engineers across multiple specialties and managing concurrent technical projects
• Familiarity with healthcare data standards (HL7/FHIR) and regulatory requirements (HIPAA) strongly preferred
• Experience with Epic integration points (FHIR, SDE) a plus
• MS or PhD in Computer Science, Data Science, or related quantitative field preferred; equivalent experience accepted

Requirements

• Bachelor's Degree - (Required)
• Minimum of 6 years - Relevant experience (Required)

Benefits

• Healthcare benefits for full-time and part-time positions from day one, including vision, dental, and domestic partners
• Encouragement of an atmosphere of collaboration, cooperation, and collegiality
• Commitment to a diverse workforce with unique experiences and backgrounds

Company Description

Everything we do is about caring for our patients, our members, our students, our Geisinger family, and our communities.

• KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
• EXCELLENCE: We treasure colleagues who humbly strive for excellence.
• LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
• INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
• SAFETY: We provide a safe environment for our patients and members and the Geisinger family.