Senior Business Intelligence Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency

Are you curious about how the underlying cloud infrastructure driving Artificial Intelligence (AI) technologies is managed at Amazon Did you know that inventing frugality-focused systems and tools for AI infrastructure lifecycle management is a collaborative front row seat to an incredible breadth of AI innovation initiatives

In the Alexa Excellence ALICE (AI Logistics for Infrastructure Cost & Efficiency) team we drive the infrastructure orchestration efficiency and cost optimization mechanisms behind products such as Alexa; striving to be the worlds most capable AI personal assistant. Were seeking a Senior Business Intelligence Engineer who will be a technical BI leader on the ALICE India team building robust scalable analytics solutions that inform infrastructure investment decisions across Alexa and Amazon leadership.

Key job responsibilities
- Own the end-to-end BI strategy across ALICEs portfolio of infrastructure optimization products including cost visibility GPU capacity planning infrastructure waste identification and service health monitoring
- Design and implement scalable dashboards data models and reporting solutions that provide visibility into Alexas infrastructure spend and GPU utilization
- Build and maintain data pipelines and self-service analytics capabilities that empower service owners across Alexa to analyze forecast and manage their infrastructure usage
- Define metrics frameworks KPIs and data governance standards across ALICE products
- Collaborate with SDEs and Data Engineers to implement data architecture and automate analytical processes
- Communicate findings and recommendations to technical and non-technical audiences including senior leadership (WBRs/MBRs/QBRs)
- Mentor team members in BI architecture data modeling and analytics best practices
- Drive operational excellence for BI solutions: reliability data quality and self-service access

- 10 years of professional or military experience
- 5 years of SQL experience
- 5 years of developing automated reporting experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs

- Masters degree in statistics data science or an equivalent quantitative field
- Experience managing analyzing and communicating results to senior leadership

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