Amazon Web Services, Inc.
Technology
DataEngineeringManager,SpecialistTechnologyTeam
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“Data Engineering Manager, Specialist Technology Team at Amazon Web Services, Inc.. Skills: Data strategy, Data architecture, Business intelligence, Team management. Define and own data strategy and architecture. Partner with Product Teams and senior leaders”
What You'll Achieve.
Accelerate customer success; Drive frictionless AWS adoption; Enable field teams to deliver high-quality engagements
Industry & Context.
Data-driven decisions
What They're Looking For.
Must Have
4+ years data structures for BI analytics, 2+ years relational database technology, Experience managing a data or BI team, Experience leading data or BI strategy, Experience in scripting or programming language
Nice to Have
Experience with big data technologies, Experience with AWS Tools and Technologies, Knowledge of software development life cycle, Experience building data infrastructure supporting AI/ML pipelines
What You'll Do.
Define and own data strategy and architecture
Partner with Product Teams and senior leaders
Establish measurement frameworks
Quantify product efficacy and business impact
Lead evolution from static dashboards
Maintain high hiring bar
Foster culture of operational excellence
Partner with product management
Ensure data infrastructure meets stakeholder needs
Drive integration strategies
Embed analytics into workflows
Represent data function in executive reviews
Make architectural trade-offs
Balance speed-to-insight with data quality
How You'll Work.
Team & Collaboration
Partner with Product Teams; Partner with product management; Partner with engineering; Partner with field leadership; Executive reviews
Communication Scope
Executive presentations
Process & Methodology
Agile development
Full Job Description
AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers—delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries. Our portfolio spans AI-powered specialist knowledge systems, hands-on engagement platforms (e.g., Workshop Studio), content quality and recommendation engines, and go-to-market orchestration tools—collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity that require a sophisticated data strategy to capture, model, and translate into actionable insight. We are seeking a Data Engineering Manager to build and lead the data engineering and business intelligence function for STT. You will own the centralized data infrastructure that measures the efficacy and impact of our entire product portfolio, and you will drive the evolution from static reporting into an ecosystem of intelligent, agent-powered data experiences that enable stakeholders to intuitively access and consume data within their day-to-day workflows. This is a foundational leadership role with direct visibility to senior leaders across AWS's sales organization. The insights and data your team generates inform high-impact decisions about where to invest, how to measure organizational effectiveness, and how to demonstrate the value our products deliver at scale. You will manage a team of Business Intelligenc
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