Sr. Solutions Architect, HCLS AI/ML and Data Strategy Specialists, Global Healthcare

Do you help healthcare organizations design and implement enterprise analytics, data governance, and AI/ML strategies that drive better outcomes at scale? Do you bring a technical vision for the future of healthcare data — from cloud-native analytics platforms and data mesh architectures to AI-ready data foundations and generative AI? Are you a proven technical leader who uses expertise and judgment to determine the right goals and design long-term solutions? Would you like to be an influential healthcare data and AI strategy leader at Amazon Web Services? Amazon Web Services is looking for a Senior Solutions Architect (SA III) to accelerate our healthcare analytics and data strategy business as part of the World Wide Public Sector Healthcare & Life Sciences team. As a Specialist Solutions Architect within AWS, you will lead technical strategy and execution across a portfolio of healthcare and life sciences customers — from providers and payers to med-tech and bio-pharma — driving analytics modernization, data governance, and AI/ML adoption from strategy through production. Your broad responsibilities will include: • Leading complex, multi-stakeholder technical engagements focused on enterprise analytics strategy, data governance, and AI/ML — presenting decisions to leaders multiple tiers above your level • Defining data and analytics reference architectures and reusable patterns for healthcare use cases (enterprise data platforms, data lakes/lakehouses, data mesh, real-world evidence, population health analytics, clinical & operational reporting, value-based care analytics) • Designing data governance frameworks for healthcare organizations — including data quality, lineage, cataloging, access controls, and compliance in regulated environments (HIPAA, HITRUST, state privacy laws) • Bridging the gap between data strategy and AI/ML — ensuring customers have the data foundations, pipelines, and governance needed to operationalize AI/ML and generative AI at scale • Handling complex business and technology problems — defining and validating requirements, leading end-to-end design, and representing benefits and challenges of each approach • Influencing stakeholders and partners across the organization to drive best practices and force-multiply team impact • Mentoring and developing other technical professionals across the HCLS organization • Producing thought leadership content (blogs, reference architectures, re:Invent sessions, workshops) that simplifies and scales the team's impact You will work with a world-class sales, business development, and specialist team, engaging with healthcare data and analytics-focused partners and customers, including some of the leading healthcare systems and life sciences organizations globally. We are looking for someone who is passionate about: • Helping healthcare organizations unlock the value of their data to improve patient outcomes and operational efficiency through responsible analytics and AI • Designing enterprise-grade data platforms, governance frameworks, and analytics architectures in regulated environments (HIPAA, HITRUST, FDA, GxP) • Bridging the worlds of data engineering, analytics, and AI/ML to create end-to-end value for customers • Simplifying and driving the use of best practices across technical communities Our company credo: "Work hard. Have fun. Make history." With demonstrated experience in: • Executive engagement and communication — trusted to present to and influence senior leadership; whiteboard sessions, EBCs, and executive presentations • Healthcare data and analytics — architecting, building, or deploying enterprise analytics platforms, data governance programs, or data strategy engagements in healthcare/life sciences • AI/ML foundations — understanding of how data strategy enables AI/ML and generative AI; experience with production ML pipelines, model training/inference, or GenAI applications • Technical