Sr. Worldwide GTM Specialist - Analytics, Open Data Architecture, Data & AI GTM

About the role

The AWS Analytics GTM team is seeking a Senior Worldwide GTM Specialist to help accelerate adoption of open data architectures on AWS.

Responsibilities

• Develop and execute GTM strategies that accelerate adoption of open data architectures and interoperable analytics patterns on AWS
• Position AWS analytics services within multi-engine analytics and AI environments leveraging open table formats such as Apache Iceberg
• Identify and scale repeatable customer engagement models, architectural GTM plays, and modernization strategies that drive adoption of AWS analytics services
• Partner across AWS analytics, specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid analytics architectures
• Build scalable field enablement, positioning, and guidance for open data architecture strategies and multi-engine analytics patterns
• Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities and influence GTM priorities

Requirements

• 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• Experience developing strategies that influence leadership decisions at the organizational level
• Experience managing programs across cross functional teams, building processes and coordinating release schedules
• Experience selling enterprise software or cloud-based applications
• Experience explaining complex technical concepts to various business and technical audiences
• Experience presenting to both technical and non-technical executive audiences
• Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology
• Technical familiarity with Apache Iceberg, open table formats, interoperable analytics architectures, and modern data processing ecosystems

Qualifications

• Experience interpreting data and making business recommendations across leadership and cross-functional teams
• Experience delivering technology products or services in a high growth environment
• Experience working with open data architectures and multi-engine analytics ecosystems
• Experience partnering across product, field, and partner organizations to drive large-scale GTM initiatives
• Experience influencing product direction through customer and market feedback