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Director AI & Data Science

Black Rock Group
FULL_TIME Remote ยท US , , United States, US Posted: 2026-05-11 Until: 2026-07-10
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Job Description
Job Title: Director AI & Data Science Location: Remote (US) with occasional travel Job Summary: We are looking for an experienced Director AI & Data Science to lead the strategy, development, and delivery of AI/ML solutions in a healthcare technology environment. This is a leadership role responsible for building AI capabilities, driving product innovation, and ensuring scalable, production-grade AI systems. Key Responsibilities: Own and drive the AI/ML product strategy and roadmap across multiple platforms Lead development and deployment of machine learning, GenAI, and NLP solutions Build and scale AI/ML models for real-world healthcare use cases Establish AI governance, model evaluation, and monitoring frameworks Collaborate with Product, Engineering, and Data teams to deliver AI-driven features Engage with stakeholders and customers to present AI capabilities and solutions Build and mentor a team of Data Scientists and ML Engineers Core Areas of Work: Predictive analytics (risk models, forecasting, classification) Generative AI / LLMs (RAG, prompt engineering, document intelligence) Healthcare NLP (clinical text extraction, summarization, coding support) AI data infrastructure (feature stores, embeddings, vector databases) Model governance, compliance, and performance monitoring Required Qualifications: 12+ years of experience in AI / Machine Learning / Data Science 5+ years in a leadership role (Director / Senior Manager level) Experience delivering production-grade AI solutions Strong knowledge of: Machine Learning (regression, classification, deep learning) Generative AI / LLMs / RAG architectures Data engineering concepts and pipelines Experience working with healthcare data and standards (e.g., FHIR, HL7, ICD codes) Hands-on experience with Python and ML frameworks Strong communication and stakeholder management skills Preferred Qualifications: Experience in healthcare AI or clinical systems Exposure to AI governance and regulatory frameworks Experience building AI solutions for real-world business impact Advanced degree in Computer Science, Data Science, or related field