Delivery Solutions Architect Manager – Healthcare & Life Sciences (HCLS)

<p data-pm-slice="1 1 []">FEQ227R156</p> <p><span style="font-size: 12pt;">As a Delivery Solutions Architect (DSA) Manager supporting our Healthcare Life Sciences (HLS) segment, you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads across some of the most regulated, mission-critical environments in the world. Your organization will be the technical engine behind how payers, providers, med-tech, and biopharma customers modernize clinical intelligence, streamline RD operations, and operationalize secure AI at scale on the Databricks Data Intelligence Platform.</span></p> <p><span style="font-size: 12pt;">You will define strategy, set the execution rhythm, and coach a team capable of navigating long implementation cycles, strict compliance requirements, and multi-stakeholder enterprise programs—all while ensuring customers achieve clear, measurable outcomes. You will report to the Director of Delivery Solutions Architecture for the HLS Business Unit.</span></p> <h1><span style="font-size: 12pt;"><strong>The Impact You Will Have:</strong></span></h1> <h3><span style="font-size: 12pt;"><strong>Build and Lead a High-Performing HLS Delivery Team</strong></span></h3> <p><span style="font-size: 12pt;">Hire, develop, and inspire DSAs who can navigate clinical, scientific, and operational workloads. Establish a performance culture grounded in accuracy, velocity, and architectural excellence.</span></p> <h3><span style="font-size: 12pt;"><strong>Accelerate Production in Highly Regulated Environments</strong></span></h3> <p><span style="font-size: 12pt;">Guide your team to minimize onboarding friction, remove blockers, and bring critical HLS use cases—clinical analytics, real-world evidence, supply-chain intelligence, quality systems, AI/ML—into production quickly and safely.</span></p> <h3><span style="font-size: 12pt;"><strong>Drive Compliance-Aware Technical Excellence</strong></span></h3> <p><span style="font-size: 12pt;">Ensure your team maintains deep expertise in the Data Intelligence Platform alongside core HLS requirements such as PHI-compliant architectures, HIPAA/GxP controls, auditability, lineage, and secure ML/AI operations.</span></p> <h3><span style="font-size: 12pt;"><strong>Partner for Growth With Sales and Field Teams</strong></span></h3> <p><span style="font-size: 12pt;">Collaborate tightly with Sales, SAs, Support, Emerging Technologies, and Professional Services to drive adoption, increase MAU/WAU, enable mature operational patterns, and ensure customers realize tangible business value from Databricks.</span></p> <h3><span style="font-size: 12pt;"><strong>Operationalize Rigor at Scale</strong></span></h3> <p><span style="font-size: 12pt;">Establish forecasting mechanisms, production readiness criteria, customer health indicators, and consumption execution frameworks that ensure predictable, multi-account delivery across HLS programs.</span></p> <h3><span style="font-size: 12pt;"><strong>Be the Executive-Facing Technical Sponsor</strong></span></h3> <p><span style="font-size: 12pt;">Engage with IT, security, clinical, RD, and data executives to shape modernization roadmaps, influence architectural direction, mitigate risk, and sponsor the strategic value of Lakehouse and GenAI across the HLS ecosystem.</span></p> <h3><span style="font-size: 12pt;"><strong>Strengthen and Evolve the DSA Practice</strong></span></h3> <p><span style="font-size: 12pt;">Contribute to cross-BU initiatives that enhance delivery quality, reproducibility, and reuse—including patterns, accelerators, reference architectures, and playbooks tailored for healthcare, biopharma, and payer/provider operations.</span></p> <h1><span style="font-size: 12pt;"><strong>What We Look For:</strong></span></h1> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>8+ years</strong> in customer-facing technical roles (Architecture, Field Engineering, Consulting), with <strong>3+ years leading or managin ... (truncated, view full listing at source)