Senior Engineering Manager, Platform

<div class="content-intro"><p>Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. <br><br>By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.</p></div><p>We are seeking a Senior Manager to lead our Clinical Data Platform organization, responsible for building and operating the systems that power our Clinical Data Repository (CDR), Patient Data Layer (PDL), and broader clinical data initiatives.</p> <p>This is a technical leadership role for a hands-on, deeply experienced engineering leader who can operate across software engineering, data/ML engineering, and cloud infrastructure. You will define and drive the architecture, execution strategy, and operational excellence of a multi-tenant, multi-cloud clinical data platform that processes and serves highly sensitive healthcare data at scale.</p> <p>You will lead a team of high-performing engineers and technical leads, bringing clarity to ambiguity, rigor to execution, and discipline to prioritization. Success in this role requires the ability to balance long-term platform vision with near-term delivery, while maintaining high standards for reliability, security, and scalability in a regulated environment.</p> <p><strong>What You Will Do:</strong></p> <h3>Technical Strategy & Architecture</h3> <ul> <li>Own the technical vision and roadmap for the Clinical Data Platform. Drive architecture for multi-tenant, multi-cloud data platforms, ensuring strong isolation, scalability, and compliance</li> <li>Make high-stakes architectural decisions across data processing, storage, serving, and interoperability layers</li> <li>Ensure platform capabilities support analytics, product features, and AI/ML use cases</li> <li>Establish durable patterns for data lifecycle management (ingestion, validation, transformation, enrichment, serving)</li> </ul> <h3>Execution & Delivery</h3> <ul> <li>Lead execution of complex, cross-functional initiatives with clear prioritization and measurable outcomes</li> <li>Translate business and product needs into well-defined engineering plans and deliverables</li> <li>Drive ruthless prioritization, focusing the team on highest-impact work while managing tradeoffs across sp