
ML Data Center Delivery Program Manager, ML Capacity Delivery
Herndon, VAJob$127–172K/yrSeen 1w agoSeen in employer's feed 3 days ago
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Job overview
Amazon Web Services’ Data Center Delivery Operations team seeks a Senior Program Manager to support the Machine Learning Capacity Delivery organization. The role owns its operating cadence, goal-setting and tracking, leadership document readiness, executive narratives, cross-functional coordination, reporting, headcount planning, and strategic calendar. It operates autonomously and influences Director- and Vice President-level decisions.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
The Amazon Web Services (AWS) Data Center Delivery Operations team seeks a Senior Program Manager to serve as the operational backbone of the Machine Learning (ML) Capacity Delivery organization. The person in this seat owns the rhythm of the business, ensures leadership is always decision-ready, and drives the mechanisms that keep a large, fast-moving ML infrastructure delivery organization aligned and accountable. The Senior Program Manager operates with full autonomy, shapes operating strategy, and influences outcomes at the Director and Vice President level.
Key job responsibilities
Own the ML Capacity Delivery rhythm of business end-to-end — design, run, and continuously improve the operating cadence across weekly business reviews (WBRs), monthly business reviews (MBRs), and quarterly business reviews (QBRs); ensure each mechanism produces decisions, not just updates.
Drive organizational goal-setting and goal-tracking cycles; partner with senior leaders to translate ML capacity delivery strategy into measurable quarterly and annual goals, track progress against them weekly, and surface risks before they become misses.
Own document readiness for all leadership forums; set and enforce timelines for narrative preparation, pre-read distribution, and post-meeting action tracking; hold contributors accountable to quality and deadline standards.
Author and edit executive-level narratives, escalation memos, and business review documents on behalf of the ML Capacity Delivery leadership team; produce clear, data-driven written communication for Director and VP audiences with no supervision.
Serve as the primary coordination layer across stakeholders — including finance, recruiting, engineering, and technical program management — to resolve cross-functional dependencies, align on priorities, and drive decisions at pace.
Identify gaps in organizational visibility; build and maintain reporting dashboards and scorecards that give leadership a real-time view of ML capacity delivery health, headcount, and program milestones.
Lead the annual and mid-year headcount planning cycle for the ML Capacity Delivery organization; partner with finance and recruiting to translate demand signals into staffing plans with clear owners and milestones.
Manage the leadership team's strategic calendar — sequence the right conversations at the right cadence, eliminate redundant forums, and protect senior leader time for high-leverage decisions.
Mentor junior program managers on operating rigor, written communication standards, and stakeholder management; establish and codify best practices across the organization.
Basic Qualifications
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6+ years of working cross functionally with tech and non-tech teams experience
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5+ years of cross functional project delivery experience
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5+ years of program or project management experience
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Experience defining program requirements and using data and metrics to determine improvements
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership
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, VA, Herndon - 127,200.00 - 172,100.00 USD annually
USA, WA, Seattle - 127,200.00 - 172,100.00 USD annually
How this job compares
Set against the 10,557 open Program Management jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$127–172K/yr
- Virginia median$138–200K/yr433 salary ranges
- US median$126–201K/yr7,615 salary ranges
This range's midpoint, $150K, is 13% below the Virginia median midpoint ($173K) — in the middle half of Program Management salary ranges in Virginia.
- Openings
- Olive Jobs lists 663 open Program Management jobs in Virginia and 10,557 across the US. 4% of them nationwide are listed as remote or flexible.
- Hiring the most in Virginia
- Serco102 open
- Amazon (this employer)91 open
- Capital One36 open
- Experience
- This posting asks for at least 6 years of experience; Program Management postings that state a minimum ask for 7 years at the median (9,101 postings).
- Education
- 4,232 of the 10,557 open Program Management jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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