Healthcare Data & AI Strategy Architect

Amazon Web Services (AWS)

New York (NY)

On-site

USD 169,000 - 229,000

Full time

14 days+

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Job summary

Amazon Web Services is seeking a senior healthcare data and AI strategy leader to guide enterprise analytics, data governance, and AI/ML initiatives across regulated environments. You will design reference architectures for healthcare use cases, lead multi-stakeholder engagements, and drive scalable AI solutions from data foundations to governance.

You will influence senior leaders, mentor others, and contribute thought leadership through blogs, workshops, and re:Invent sessions, while traveling

Qualifications

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

Responsibilities

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