SVP, AI & Data

• Direct the engineering teams that extract medical codes and quality data from charts: retrospective risk extraction built on Textract OCR, Comprehend Medical, and Gemini; prospective risk extraction that runs PDF and CCDA charts through Gemini and a custom rules engine to surface candidate ICD codes; and quality and HEDIS extraction that applies large language models to chart content.

• Own the internal API that returns extraction results to downstream engineering teams, including its contracts, accuracy, and reliability.

• Guide the data science research program — a team including two PhDs and an MD — as it advances from model-based ICD extraction to a retrieval-augmented generation system on Gemini, and shepherd that research into production alongside the retrospective risk team.

• Set the architecture for the data warehouse on Azure Synapse and Microsoft Fabric, including ingestion from AWS SQL source databases.

• Direct the business intelligence function that builds reporting in Looker on top of warehouse data, with quality assurance built into the delivery process.

• Oversee risk analytics expertise in determining Medicare Advantage value from coded medical charts, supporting a substantial share of the IVA business.

• 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.

• 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.

• 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.

• Demonstrated leadership of multiple technical teams and their leaders, with a style that sets direction and architecture while granting autonomy on execution.

• Working fluency in healthcare risk adjustment, medical coding (ICD), and quality measurement (HEDIS®), or the ability to reach it quickly.

• Direct experience with Medicare Advantage risk adjustment, IVA, or RADV audit workflows.

• 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.

• Accuracy and coverage of code and quality extraction across retrospective, prospective, and HEDIS® workflows.

• Reliability and adoption of the internal results API by downstream engineering teams.

• Timeliness and trustworthiness of warehouse data and the reporting built on it.

• Movement of data science research into production, measured by accuracy gains realized in live extraction.

• Growth, retention, and autonomy of the team leaders and their teams.

• Competitive salary

• Medical, Dental and Vision benefits

• 401k with Employer Match

• Generous PTO plan

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

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Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.