Senior Delivery Programs Lead SSD Expansion

Amazon

Nashville (TN)

On-site

USD 104,000 - 155,000

Full time

8 days ago

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Benefits offered by this job

Health insurance

401(k) match

Paid time off

Job summary

Amazon is seeking a Senior Program Manager in Nashville, TN to lead strategy and execution for new customer-facing delivery offerings within the Sub-Same Day (SSD) network. You will own end-to-end programs from pilot to network-scale, partnering across operations, science, tech, finance, and CX to ensure scalable, data-driven capabilities and sustainable economics in fast, high-visibility initiatives.

This VP-level role shapes how Amazon evolves its fastest delivery experiences and requires

Qualifications

5+ years of program or project management experience.
Experience using data and metrics to determine and drive improvements.
Experience owning program strategy, end to end delivery, and communicating results to senior leadership.

Responsibilities

Own the expansion strategy and roadmap for new customer delivery offerings, including site sequencing, operating model configuration decisions, and scale decision inputs for leadership.
Lead the economic sustainability workstream — partnering with finance to model cost scenarios, track pilot economics against plan, and develop the investment framework that informs go/no-go decisions.
Drive the cross-functional program cadence across fulfillment operations, delivery operations, science teams, and tech teams to ensure capability readiness aligns with launch timelines.
Own the narrative for leadership reviews — synthesizing operational performance, customer insights, and financial projections into clear recommendations on expansion pace and investment trade-offs.
Define and manage the customer insights integration plan — coordinating quantitative lift analyses, qualitative behavioral studies, and downstream impact assessments to inform which CX trade-offs are acceptable at scale.
Develop the decision framework for monetization strategies, operating model adjustments, and cost levers based on customer data maturity and economic thresholds.
Identify and drive resolution of structural blockers to scale — including operational variability, science model deployment timelines, and capacity constraints at expansion sites.
Build mechanisms to ensure learnings from pilot sites transfer effectively to expansion sites, reducing launch instability and accelerating time-to-operational-maturity.