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

Description

The AWS Analytics GTM team is seeking a Senior Worldwide GTM Specialist to help accelerate adoption of open data architectures on AWS. This role will focus on driving strategic GTM initiatives that position AWS as a foundational platform for interoperable, multi-engine data and AI architectures built on open table formats such as Apache Iceberg, with AWS analytics services serving as key components of these modern architectures.

Open data architectures are becoming increasingly important as customers seek greater flexibility, interoperability, and reduced lock-in across analytics and AI environments. AWS is uniquely positioned to help customers build modern architectures that enable multiple analytics and AI engines to operate against shared open data foundations. This role will help define and scale the GTM strategies, customer engagement models, and field motions that support this vision globally.

Key job 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

About the team

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
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.

Basic Qualifications

• 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

Preferred 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