Sr. Analytics Manager, Operations

Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

As a Senior Analytics Manager, you will be at the forefront of data‑driven decision‑making for one of the world’s largest and most sophisticated data center operations. You'll lead cross‑functional teams to design and implement analytics solutions that optimize performance, reduce costs, and enable strategic planning across our global footprint. This role requires a unique blend of technical program management excellence, analytics expertise, and the ability to influence senior leadership through compelling data narratives.

You will partner with engineering, operations, finance, and business intelligence teams to establish scalable analytics frameworks that support critical business decisions. Your work will directly impact how AWS plans, builds, and operates data centers that power millions of customers worldwide. This is an opportunity to shape the future of infrastructure analytics at AWS and mentor the next generation of analytics leaders.

The ideal candidate thrives in ambiguity, drives clarity through data, and has a proven track record of delivering complex, multi‑year programs that create measurable business value. You should be equally comfortable diving deep into technical architectures and presenting strategic insights to VP and SVP‑level audiences.

• Lead end‑to‑end delivery of complex, multi‑year analytics programs spanning multiple teams and organizations
• Define and drive the strategic vision for analytics capabilities that support GDCO business priorities
• Establish and manage cross‑functional partnerships with engineering, operations, finance, and business intelligence teams
• Drive alignment across stakeholders on program goals, success metrics, and delivery timelines
• Mentor and develop TPMs and analytics professionals across the organization

• Design and implement scalable analytics frameworks and methodologies to solve complex operational challenges
• Drive the development of predictive models, dashboards, and reporting solutions that enable data‑driven decision‑making
• Partner with data engineering teams to ensure robust data pipelines and infrastructure
• Establish analytics best practices, standards, and governance across GDCO
• Translate complex data insights into actionable business recommendations for senior leadership

• Lead technical design discussions and make critical architectural decisions for analytics platforms
• Manage dependencies across multiple systems, teams, and technology stacks
• Drive continuous improvement in data quality, accessibility, and analytics capabilities
• Ensure scalability and reliability of analytics solutions supporting global operations
• Navigate ambiguity and make sound technical trade‑offs in fast‑paced environments

• Present complex analytics findings and program updates to VP and SVP‑level audiences
• Build strong relationships with business and technical leaders across AWS
• Influence without authority to drive organizational change and adoption of analytics solutions
• Create compelling narratives that connect data insights to business outcomes