Applied AI Health Data Systems Senior Manager

Quick Facts

• Role: Applied AI Health Data Systems Senior Manager
• Domain: Health Services | Data, Analytics & AI

Description

Lead client-facing work to design and develop AI-enabled health services data solutions that turn raw information into usable insights for intelligent decision-making. As a Senior Manager, you will manage large projects and teams, shape delivery approaches, and apply data and analytics engineering, AI, and machine learning to build models, systems, and workflows that automate processes and translate business needs into practical technical solutions.

Responsibilities

• Manage teams delivering healthcare AI and GenAI solutions (analytical modeling, prompt engineering, Python development, testing, and communicating results to clinical/operational stakeholders)
• Document and analyze healthcare business processes across clinical operations and population health to identify AI/GenAI opportunities and define hypotheses and solution approaches
• Collaborate with health system stakeholders (clinical informatics, population health, IT leaders) to select appropriate models and LLM approaches
• Design AI/GenAI architectures, including RAG clinical knowledge retrieval systems and agentic workflows for care management and revenue cycle automation with appropriate PHI safeguards
• Guide architecture choices across cloud platforms, model integration patterns, and data pipelines for scalable AI deployment
• Validate model outputs and evaluation/feedback loops using complex data analysis and data modeling techniques
• Coach teams through ambiguity, direct issue resolution, and escalate risks when needed
• Provide clear status updates, solution narratives, and implementation recommendations to client stakeholders and internal leaders
• Manage daily operations of a global healthcare data science team: review models, provide feedback, and support outcome analysis
• Direct data engineers and other data scientists to deliver HIPAA-compliant solutions for regulated clinical/financial/operational AI use cases
• Lead and contribute to POCs, pilots, and production use cases (e.g., clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, throughput modeling)
• Facilitate executive-level presentations and communicate next steps based on GenAI/ML progress and performance
• Translate complex AI/ML concepts into clear clinical and business value narratives
• Identify improvement opportunities in AI implementation, operational workflows, and platform usage across data, analytics, and automation programs

Benefits

• Annual discretionary bonus eligibility
• Medical, dental, and vision
• 401(k)
• Holiday pay
• Vacation
• Personal and family sick leave