Overview
In this role you shape the multi-year GTM strategy for Amazon’s Data domain across EMEA, spanning Database, Storage, and Analytics. You drive cross-functional collaboration with Sales, Solutions Architecture, Business Development, Partners, and Marketing to turn fragmented data estates into unified platforms powering analytics and GenAI. You own region-wide goals, KPIs, and resource allocation, while engaging with CIO/CDO/CTO-level stakeholders and AWS service teams to inform global roadmaps. You lead a high-autonomy, matrixed team and build a scalable GTM engine.
Responsibilities
- Own and grow the Database, Storage, and Analytics domain business; define multi-year EMEA strategy, set goals and KPIs, and implement scalable mechanisms
- Position the data estate as the foundation for customers’ analytics and GenAI ambitions by deploying specialist capacity where opportunities are greatest
- Build, coach, and retain a multi-geography team of senior GTM specialists and develop future leaders
- Lead a matrixed field organization to deliver shared domain outcomes across Sales, Solutions Architecture, Business Development, Partners, and Marketing
- Manage executive relationships (CxO level) and sponsor complex data programs like migrations, modernization, and enterprise analytics transformations
- Cultivate executive relationships with GSIs/SIs/ISVs and drive partner-led growth to accelerate customer value
- Interface with AWS service teams to surface customer insights and shape product roadmaps; represent AWS at executive forums and industry events
Key requirements
- Bachelors degree or equivalent
- Experience leading large teams in a matrixed environment
- Experience in Go-To-Market, Business Development, Sales, or Consulting
- Experience with Data & AI technologies (AI/ML, GenAI, Analytics, Database, Storage)
- Experience communicating with C-levels and cross-functional teams or equivalent
- Strategic thinking about enterprise software, new technology platforms and architectures
- Experience managing complex stakeholder relationships
- multi-cultural leadership
- high autonomy and accountability
- strong strategic thinking
- Data & AI technologies (AI/ML, GenAI, Analytics)
- Database
- Storage
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