• Set and own the technical and organizational north star for data engineering at AcuityMD—defining how we build the world’s most accurate and actionable model of healthcare reality. • Lead the design, implementation, and evolution of our core data platform, powering every aspect of our product and agentic experiences—from analytics and workflows to AI-driven insights. • Translate company and product strategy into clear data investments, and clearly articulate the customer value of those investments to engineering, product, and leadership partners. • Go deep when it matters: drive architectural decisions, review critical designs, debug hard problems, and coach the team through complex technical tradeoffs. • Build data systems that are constantly improving, reliable, and trusted—supporting massive scale, complex healthcare data, and customer-facing use cases where correctness truly matters. • Partner closely with product, data science, and engineering leaders to ensure tight feedback loops between data generation, modeling, and real-world customer outcomes. • Lead, mentor, and grow a high-impact team of data engineers, data scientists, and domain experts, setting a high bar for methodological and technical rigor, ownership, and velocity. • Establish strong—but pragmatic—standards for data quality, testing, observability, lineage, and governance, without slowing the team down. • Shape the culture of the data organization: how we plan, how we ship, how we review work, and how we learn from mistakes. • Stay close to the evolving state of modern data engineering and analytics engineering, bringing in new ideas when they meaningfully raise our ceiling.