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

Description

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?

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.

• 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/lake houses, 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.

• 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."