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This is a systems engineering role. You will build the platform infrastructure — data pipelines, aggregation engines, decision-framing logic, APIs, visualization layers, and automated briefing systems — that turns raw operational data into structured executive decisions. Where analytical models exist, you will integrate and serve them; your primary focus is building reliable, scalable, well-architected production systems that deliver the right decisions to the right leaders at the right time.
Key job responsibilities
### Build & Own the Decision Intelligence Platform
Design and build the end-to-end platform
Own the system architecture that surfaces structured decisions to executives
Build metric decomposition pipelines
Implement trend computation, projected outcomes, scenario comparison, and threshold-based alerting at multiple aggregation levels
### Data Pipeline & Platform Infrastructure
Ingest and normalize data from multiple upstream operational systems
Build robust ETL pipelines with defined freshness SLAs, data quality checks, and observability
Implement caching, pre-computation, and materialized views for sub-second executive dashboard response times
### Integration & Serving
Integrate outputs from science teams into the platform as first-class data sources
Build the serving layer that presents analytical outputs alongside operational metrics in a unified executive experience
Implement automated narrative generation (template-based or LLM-assisted) that produces metric commentary for executive reviews
Design APIs that support both the web portal and automated report generation
### Web Application & Visualization
Build interactive executive dashboards with fleet-wide views, multi-level drill-down, and scenario comparison
Implement data visualizations optimized for non-technical senior leaders (clarity over complexity)
Design the portal to support multiple view modes: summary cards, trend charts, tabular comparisons, commentary threads Basic Qualifications: - Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes Preferred Qualifications: - Experience with distributed systems at scale
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually
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