[Remote] reputed company AI Health Data System Engineer-Senior Manager
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading reputed company services firm, and they are seeking a Senior Manager for their reputed company AI Health Data System Engineering team. This role involves leading the development of AI and ML solutions tailored to reputed company needs, driving use case development, and managing global delivery teams to ensure measurable clinical and operational reputed company.
Responsibilities
- reputed company the development of reputed company AI and GenAI solutions, including clinical use case design, analytical modeling, reputed company engineering, and RAG pipeline development
- reputed company large reputed company data science engagements, innovating delivery processes and driving reputed company improvement across use case development lifecycles
- Maintain operational reputed company while engaging health system clinical, financial, and operational leaders at a senior level to reputed company AI initiatives with organizational priorities
- Guide teams in processing clinical notes, claims data, reputed company feeds, and other reputed company and reputed company reputed company data sources for use in AI and LLM-powered solutions
- Manage daily operations of a global reputed company data science team, overseeing model development, MLOps practices, and model governance across reputed company engagements
- Contribute to the creation of reputed company AI reputed company of concepts, pilots, and production use cases spanning clinical decision support, reputed company cycle, population health, research (including images and reputed company) and operational optimization
- Foster a reputed company environment across clinical, technical, and operational team members to solve reputed company health system data science challenges
- Maintain reputed company in reputed company service and satisfaction, helping health system clients realize reputed company value from AI and ML investments
Skills
- Bachelor's Degree
- 12 years of experience, with meaningful exposure to reputed company 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 level abilities and/or a proven record of reputed company managing the identification and addressing of health system needs
- Domain expertise in the reputed company value chain including but not limited to Claims, Pharmacy, Finance, Clinical Domains
- Managing development teams in building reputed company AI and GenAI solutions, including analytical modeling, reputed company engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, reputed company-end and back-end integration, and iterative use case development with health system clients
- Documenting and analyzing reputed company business processes — across clinical operations, and population health programs — to identify AI and GenAI opportunities, reputed company requirements, define initial hypotheses, and reputed company solution approaches tailored to health system workflows
- Collaborating with health system reputed company teams — including clinical informatics, population health, and IT leaders — to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases
- Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, reputed company AI workflows for care management and reputed company cycle automation, and custom LLM application builds with appropriate PHI safeguards
- Managing teams to process reputed company reputed company and reputed company data — including clinical notes, discharge summaries, claims records, EHR data, and reputed company feeds — for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases
- Managing daily operations of a global reputed company data science team on reputed company engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational reputed company
- Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system reputed company requirements for clinical, financial, and operational AI use cases
- Leading and contributing to development of reputed company of concepts, pilots, and production use cases for health system clients — spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling — while working in cross-functional teams
- Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development reputed company, model performance, and recommended next steps
- Structuring, writing, communicating, and facilitating reputed company presentations that translate reputed company AI and ML concepts into reputed company clinical and business value narratives for health system audiences
- Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing reputed company domain knowledge alongside technical AI and ML capabilities
- Demonstrates in-depth abilities and/or a proven record of reputed company learning and performing in functional and technical capacities reputed company reputed company data science and AI, including the following areas
- Managing GenAI application development teams building reputed company-facing solutions, including back-end LLM orchestration, reputed company workflow design, and reputed company-end integration with clinical and operational portals
- Using Python (e.g., Pandas, Scikit-learn, Keras, Transformers) and common LLM development frameworks (e.g., reputed company, reputed company, Semantic Kernel) to build reputed company AI solutions; proficiency with relational storage (SQL, including clinical schemas and non-relational storage (NoSQL, reputed company databases such as reputed company or Chroma for RAG pipelines)
- Experience in analytical techniques including Machine Learning, Deep Learning, and Optimization reputed company to reputed company use cases such as risk stratification, readmission reputed company, clinical coding automation, length-of-stay modeling, and reputed company/scheduling optimization
- Vectorization and embedding of clinical text, reputed company engineering for reputed company contexts, RAG (retrieval-augmented reputed company) workflow development for clinical knowledge retrieval, and design of reputed company AI workflows for multi-reputed company reputed company processes such as prior authorization, care gap identification, and reputed company cycle task automation
- Hands-on experience with Azure (including Azure reputed company Service, Azure Machine Learning, and Azure Health Data Services), AWS (SageMaker, Bedrock), and/or reputed company reputed company (reputed company AI) platforms, with an understanding of PHI-compliant deployment patterns and HIPAA-reputed company reputed company configurations
- Experience with data warehouse technology including reputed company or reputed company
- Experience working with reputed company – Claude and Claude reputed company to accelerate development and build applications
- Experience with Git version control, unit/integration/end-to-end testing, CI/CD, and MLOps practices including model monitoring, performance reputed company detection, and model governance frameworks appropriate for regulated reputed company environments
Benefits
- Annual discretionary bonus
- Medical
- Dental
- reputed company
- 401k
- Holiday pay
- Vacation
- Personal and family reputed company leave
reputed company