Senior Program Manager – Global Quality Benchmarking

Amazon

Nashville (TN)

On-site

USD 104,000 - 155,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, Vision Coverage

Maternity and Parental Leave Options

Paid Time Off

401(k) Plan

Job summary

Amazon’s GSCE team seeks a Sr. Program Manager to own end-to-end benchmarking and scorecard strategy for quality KPIs across regions.

You will drive CBRS methodology, lead multi-month studies, and partner with ACES, Analytics, and Finance to deliver measurable improvements across 1,000+ stations worldwide. You will build AI-powered tooling, translate complex statistics for operators, and drive automation to scale benchmarking insights.

Qualifications

5+ years of program or project management experience.
Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership.
Experience using data and metrics to drive improvements.
Experience implementing repeatable processes and driving automation or standardization.

Responsibilities

Own the Quality Pillar benchmarking portfolio end-to-end — vision, methodology, and cadence for FPY, Stow Buffer Compliance, and future quality metrics across NA, EU, JP, ECCF, RSR, and RoW.
Drive benchmarking methodology for quality KPIs — quarterly benchmark generation, cluster design, sub-cluster coefficients, and statistical model improvement.
Design benchmarking studies identifying root causes at underperforming stations, sharing best practices, and driving measurable quality improvement.
Expand quality benchmarks to new regions and BUs — adapting methodology for local data, gaining alignment, and launching benchmarks where none existed.
Own Road to CBRS (benchmarking) for quality metrics — translating benchmarks into actionable station-level insights that close the gap.
Partner with Central and Field ACES on operator sentiment, OP alignment, and worldwide metric parity.
Define upstream quality KPI signals for the Risk Engine — early-warning indicators and data integration partnership.
Build AI-powered validation tooling — cluster analyzers, anomaly detection, and self-service analytics for operators.
Partner with BIE on data pipeline requirements — freshness, accuracy, and scalability in Andes/Redshift.
Present insights, study results, and methodology recommendations to senior leadership and cross-functional stakeholders.
Write quality pillar narratives for quarterly publications and stakeholder newsletters.