Level

Amazon

Senior Program Manager, SSD R2L Delivery, Central Operations Strategy

Amazon is hiring a Senior Program Manager, SSD R2L Delivery, Central Operations Strategy in Seattle, United States. It pays $104k-$155k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions SQL, Python and program management among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 21,000+ other open roles on Level.
  • Posted within the past week.

AI in this role

Own weather and incident response strategy, reporting, and capacity forecasting for the last-mile delivery network.

sqlpython
program-managementdata-analysisoperations-strategyforecasting
The Central Operations Strategy organization is seeking a Sr. Program Manager to own weather and incident response strategy for our last-mile delivery network. Weather is one of the largest drivers of unplanned variability in our operations, and this role owns the mechanisms that determine how we respond to it: how much capacity we protect, how much volume we accept, and how quickly we recover when conditions differ from what was forecast.

This role sits at the intersection of operations strategy and data. The Sr. Program Manager will build and own the reporting and analysis that show how weather affects delivery performance, translate weather forecasts into clear capacity recommendations, and measure whether those recommendations improved outcomes. They will partner closely with our central response team, meteorologists, and business stakeholders to land the right balance between volume and delivery quality for every event, and to improve the quality of the inputs driving those decisions over time.

The role requires strong program ownership and comfort making decisions with imperfect information. The ideal candidate can dig into the data to find the answer, then turn it into a clear recommendation and a durable process that operations teams can run every day.

Key job responsibilities
- Own the framework that measures how weather affects delivery quality and capacity, and the recurring reporting built on it
- Build and maintain the models and analysis that turn weather forecasts into capacity and volume recommendations grounded in historical performance
- Measure forecast accuracy and recommendation effectiveness, and drive improvements from what you find
- Partner with our central response team to improve response playbooks, escalation paths, and recovery actions for planned and unplanned events
- Partner with meteorologists to improve forecasting, feeding operational outcomes back into how forecasts are built
- Own the volume-versus-quality trade-off recommendation, sizing the cost of both over-reacting and under-reacting
- Build the tools and processes that let this program scale across the network
- Influence investment priorities through data-driven business cases, and drive alignment across operations, planning, finance, and technology partners
- Communicate strategy, risks, and trade-offs to senior leadership
Demonstrated Competencies
- Strong analytical skills and the ability to work independently with large data sets; SQL and - Python preferred
- High judgment with incomplete information
- Track record of building programs or reporting capabilities from scratch
- Willingness to go deep in an unfamiliar, technically complex domain and become the expert others rely on
- Proven ability to build consensus and drive decisions across large, diverse stakeholder groups
- Ability to simplify complexity for senior audiences
- Confidence in ambiguous, fast-moving environments

A day in the life
You start by reviewing how the network performed against recent weather events, and where results missed, working backwards to whether the fix belongs in the forecast, the recommendation, or execution. You spend part of the day in the data, refining the analysis behind our capacity recommendations and quantifying trade-offs. You partner with the central response team to prepare for upcoming events and with meteorologists to review where forecasts diverged from outcomes. The rest of your time goes to building mechanisms rather than reacting: better reporting, less manual work, and the documents that take your recommendations to senior leadership.


Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan  

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
Central Operations Strategy owns the centralization strategy for order recovery, capacity management, and incident response across our last-mile delivery businesses. We centralize work that cannot scale at the site level, build automation to remove manual operational burden, and support the network through everything from new site launches to major disruptions. On the weather side, we measure how weather affects delivery performance, translate forecasts into capacity recommendations, and partner with meteorologists to improve forecast accuracy over time. We are a small team with broad ownership and the freedom to build what the network needs.

Basic 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 determine and drive improvements
- Bachelor's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field

Preferred qualifications

- Master's degree, or MBA in supply chain, business, engineering, finance or related technical or quantitative field
- Experience using generative AI tools to accelerate program work — for example, building analysis and reporting prototypes, automating recurring manual tasks, or synthesizing large volumes of operational data into insights and written recommendations.

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.



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How we rate this

Senior Program Manager, SSD R2L Delivery, Central Operations Strategy at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Program ManagementData AnalysisOperations StrategyForecastingSQLPython

Questions you could be asked

  1. Tell me about a project where program management was part of your work. What did you do?
  2. Tell me about a project where data analysis was part of your work. What did you do?
  3. Tell me about a project where operations strategy was part of your work. What did you do?
  4. Tell me about a project where forecasting was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Program Management, Data Analysis, Operations Strategy, Forecasting, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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