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Reveleer · Posted 2mo ago
Senior Vice President of AI & Data
- Location
- 🇺🇸 United States
- Contract
- Full-time
- Role
- Data leadership
- Source
- Stapply Data
Stack
- Azure Synapse
- Microsoft Fabric
- Looker
- LLM
- AWS
- Azure
The posting
Join Reveleer, a leading healthcare technology company, as the Senior Vice President of AI & Data. In this role, you will lead the strategy, architecture, and delivery of AI, machine learning, and data systems that power risk adjustment and quality programs across Medicare Advantage and value-based care. You will oversee seven teams totaling roughly 27 engineers, data scientists, and analysts, and work closely with product, engineering, and clinical leadership to align the AI and data roadmap with commercial and regulatory priorities.
- Lead the strategy, architecture, and delivery of AI, machine learning, and data systems for risk adjustment and quality programs. - Direct the engineering teams that extract medical codes and quality data from charts, and own the internal API that returns extraction results. - Set the architecture for the data warehouse on Azure Synapse and Microsoft Fabric, and direct the business intelligence function that builds reporting.
- Working fluency in healthcare risk adjustment, medical coding (ICD), and quality measurement (HEDIS®), or the ability to reach it quickly - A track record of leading AI and data organizations, with enough technical depth to evaluate architecture, model-selection, and build-versus-buy decisions made by the teams reporting in. Personally, building production systems is not required - Experience leading data warehouse and business intelligence functions, with working knowledge of cloud data platforms (Azure Synapse, Microsoft Fabric, or comparable) and BI tools such as Looker - Deep experience with applied machine learning and large language models in production, including modern patterns such as retrieval-augmented generation, OCR and document understanding, and clinical natural language processing - Demonstrated leadership of multiple technical teams and their leaders, with a style that sets direction and architecture while granting autonomy on execution - Familiarity with cloud AI services across providers, including Google Gemini, AWS Textract, and AWS Comprehend Medical - Advanced degree in computer science, data science, biostatistics, or a clinical field, or equivalent applied experience - Direct experience with Medicare Advantage risk adjustment, IVA, or RADV audit workflows