Additional Information
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 Intelligence Engineers and Data Engineers, owning the full end-to-end data strategy-from foundational infrastructure and pipeline engineering through to analytics, measurement, and insight delivery. You are not just building data assets; you are ensuring the right questions get answered and the right data reaches the right decision-makers at the right time to move the needle on large business outcomes.
Key job responsibilities
- Define and own the data strategy and centralized architecture for the organization-connecting product telemetry, usage metrics, and business outcomes into a coherent, scalable data ecosystem
- Partner with Product Teams and senior leaders to establish measurement frameworks that quantify product efficacy and business impact, enabling data-driven investment decisions across the portfolio
- Lead the evolution from static dashboards toward agentic data systems that allow AI to surface insights within existing field team workflows
- Build, manage, and develop a high-performing team of Business Intelligence Engineers and Data Engineers, maintaining a high hiring bar and fostering a culture of operational excellence
- Partner with product management, engineering, and field leadership to ensure data infrastructure meets stakeholder needs and answers the right business questions
- Drive integration strategies that embed analytics into day-to-day workflows, reducing friction between data and decision-making
- Represent the data function in executive reviews with Directors and VPs, articulating strategy, results, and trade-offs
- Make architectural trade-offs between short-term delivery and long-term scalability, balancing speed-to-insight with data quality and governance
Amazon Web · Austin, TX