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

• 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 leadership - independently designing long-term solutions, taking the lead on initiatives, and delivering without close supervision
• Influence and force multiplication - driving adoption of best practices, mentoring others, and scaling impact beyond individual contribution
• Ability to travel 30%, 6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 5+ years of design, implementation, or consulting in applications and infrastructures experience
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• 3+ years of healthcare or life sciences industry experience in a technical capacity, 5+ years of infrastructure architecture, database architecture and networking experience
• Experience with AWS analytics and data services (Amazon Redshift, Athena, Glue, Lake Formation, DataZone, QuickSight, EMR, OpenSearch)
• Experience with generative AI, RAG, or LLM-based systems - particularly how data quality and governance impact AI outcomes
• Experience presenting to and influencing VP/CTO/CDO/CMIO-level decision makers

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve., The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.