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Lead technical design and delivery of enterprise AI solutions (generative AI, RAG, agentic AI, predictive models). Own architecture, deployment, responsible AI standards, vendor evaluations, prototyping, CI/CD/LLMOps, monitoring, and mentor engineers while aligning solutions to business outcomes and regulatory best practices.

Design, build, test, and deploy production AI solutions (predictive models, generative AI, RAG, agents). Integrate models into APIs/microservices, maintain data pipelines and LLMOps/AgentOps, ensure Trust & Safety, monitoring, and compliance, prototype new capabilities, and collaborate with product, engineering, and design to deliver reliable, explainable AI features.

Lead strategy, commercialization, go-to-market planning, roadmap and lifecycle for an assigned health IT solution portfolio. Manage financial planning, build business cases, drive customer and partner relations, ensure regulatory alignment, collaborate cross-functionally, recruit and lead teams, and partner with Data & Analytics to create commercial solutions.

Lead product strategy, roadmap and releases for medication history solutions. Own feature prioritization, user research, Aha! roadmap management, stakeholder engagement, compliance, go-to-market activities, and mentor junior product staff.

Lead product performance monitoring and optimization through metrics, dashboards, and user research. Drive product improvements, pilot programs, documentation, and cross-functional collaboration to support go-to-market, support teams, and stakeholder education.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

The Senior Data Scientist leads data-driven initiatives, optimizing analytics for business decisions, mentoring staff, and ensuring data quality across healthcare projects.