Global GTM Strategist - Data Migration & Modernization

Amazon Web Services (AWS); Irvine (CA); On-site; USD 148,000 - 200,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Business Development Specialist within the Worldwide Specialist Organization (WWSO) Data Migration and Modernization (D2M) team.

You will drive adoption, revenue, and growth for large-scale customers across migration and modernization initiatives, aligning with AWS roadmaps and GTM plans. The role emphasizes collaboration with sales, marketing, partners, and product teams to accelerate customer migrations, with a focus on data and analytics workloads in

Qualifications

• 5+ years in Go-To-Market, Business Development, Sales, or Consulting.
• 5+ years with Data & AI technologies including Analytics, Database, or Storage.
• Experience leading cross-functional programs and coordinating release schedules.

Responsibilities

• Lead specialist to orchestrate sales motions with cross-functional teams over 1-3+ years.
• Leverage data domain expertise to create field enablement and sales strategies.
• Support field teams in solution building for high priority customers.
• Provide feedback to product teams to influence AWS roadmaps and initiatives.
• Own reporting cadences to AWS executives on GTM plan execution.
• Represent AWS at industry events and conferences with credibility.

Skills

Go-To-Market

Data & AI

Program management

Executive presenting

Cross-functional leadership

Education

Bachelor's degree

Tools

Mainframe

Containers

Cloud Operations

Job description

Amazon Web Services, Inc. is seeking a Business Development Specialist within the Worldwide Specialist Organization (WWSO) Data Migration and Modernization (D2M) team.

You will drive adoption, revenue, and growth for large-scale customers across migration and modernization initiatives, aligning with AWS roadmaps and GTM plans. The role emphasizes collaboration with sales, marketing, partners, and product teams to accelerate customer migrations, with a focus on data and analytics workloads in