Applied AI Health Data System Engineer-Senior Manager
$124k - $280k • NY-New York • Full-time
Posted 19d ago
Job Location
NY-New York
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
PwC's data and analytics engineering team leverages advanced technologies to design and develop robust data solutions for clients, transforming raw data into actionable insights. Those in artificial intelligence and machine learning focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes through designing and optimizing algorithms, models, and systems. As a Senior Manager, you will lead the development of AI, GenAI, and ML solutions tailored to the complex needs of health systems and health plans, driving use case development across various healthcare domains and translating challenges into production-grade AI solutions. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing global delivery teams and engaging health system leaders to ensure measurable clinical and operational impact.
Responsibilities
- Oversee the development of healthcare AI and GenAI solutions, including clinical use case design, analytical modeling, prompt engineering, and RAG pipeline development.
- Lead large healthcare data science engagements, innovating delivery processes and driving continuous improvement across use case development lifecycles.
- Maintain operational excellence while engaging health system clinical, financial, and operational leaders at a senior level to align AI initiatives with organizational priorities.
- Guide teams in processing clinical notes, claims data, ADT feeds, and other structured and unstructured healthcare data sources for use in AI and LLM-powered solutions.
- Manage daily operations of a global healthcare data science team, overseeing model development, MLOps practices, and model governance across client engagements.
- Contribute to the creation of healthcare AI proof of concepts, pilots, and production use cases spanning clinical decision support, revenue cycle, population health, research (including images and genomics) and operational optimization.
- Foster a collaborative environment across clinical, technical, and operational team members to solve complex health system data science challenges.
- Maintain excellence in client service and satisfaction, helping health system clients realize tangible value from AI and ML investments.
Requirements
- Bachelor's Degree
- 12 years of experience with meaningful exposure to healthcare data science, health IT, or AI solution development for health system clients
- At least 6-7 years of experience at a health system
- Demonstrates in-depth abilities and/or a proven record of success managing the identification and addressing of health system needs
- Domain expertise in the healthcare value chain including Claims, Pharmacy, Finance, and Clinical Domains
- Experience managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results, front-end and back-end integration, and iterative use case development with health system clients
- Experience documenting and analyzing healthcare business processes to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches
- Experience collaborating with health system client teams to understand business and clinical problems and select appropriate models, LLMs, and approaches for AI/GenAI use cases
- Experience designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows, and custom LLM application builds with appropriate PHI safeguards