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Enterprise Sales Specialist - Data & Analytics, AWS UKI Specialist Team

Amazon - London, England, GBR

Posted May 18, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Childcare support
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Deadline
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Where they hire

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About this role

Enterprise Sales Specialist - Data & Analytics, AWS UKI Specialist Team London, England, GBR Amazon Web Services is looking for a seasoned enterprise sales professional who thrives at the intersection of data, AI, and business transformation. In this role, you will engage deeply within enterprise organizations - partnering with technical and commercial leaders to define and execute modern data strategies on AWS that unlock real business value. You will bring together the full breadth of AWS's data and analytics portfolio - from data warehousing and lake architectures to real-time streaming, search, and business intelligence - while also identifying where complementary third-party partner solutions strengthen the overall platform. This isn't about selling individual services; it's about architecting the data foundations that enterprises need to compete in an AI-driven world. You will own the Customer's Data Strategy and drive Business Outcomes. Working in close partnership with our AI specialist, Database and Storage teams, you will help customers connect their data investments directly to accelerated business outcomes - ensuring their platforms are built not just for today's workloads, but for the agentic, AI-native future that is rapidly taking shape. The pace of innovation is extraordinary, and our customers need trusted advisors who can help them navigate it with clarity and conviction. We are building a team obsessed with data platforms purpose-built for what comes next. If you want to operate at the frontier of enterprise data strategy - helping the world's most ambitious organizations turn complexity into competitive advantage - this is the

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