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Finance Manager, AWS Infra Finance

Amazon

Finance Manager, AWS Infra Finance

Amazon

Herndon, VA, USA

·

On-site

·

Full-time

·

1w ago

Required Skills

AWS

AWS operates one of the largest infrastructure footprints in the world. Infrastructure Delivery sits at the center of that growth by building and commissioning new capacity at high velocity, with plans that evolve rapidly as signals change.

We are hiring a Finance Manager to own the workforce planning and labor-cost forecasting function for Infrastructure Delivery. In this role, you will translate operational signals into a governed, decision-ready outlook, drive transparency through scalable reporting, and help leaders make faster, higher-quality trade-offs. This position requires strong financial modeling skills, sound judgment, and excellent communication in a highly cross-functional environment.

Key job responsibilities

  1. Own the end-to-end workforce planning operating mechanism for Infrastructure Delivery, including the single source of truth for headcount and labor cost, input governance and documentation, assumption clarity, and a durable cadence supporting monthly performance reviews, quarterly forecasting, and annual planning.

  2. Build and continuously improve driver-based models that connect operational signals to headcount and labor-cost outcomes, owning key planning assumptions (e.g., hiring plan, attrition, ramp/productivity, mix, rates) and running sensitivity analyses that surface risks early, highlight trade-offs, and improve forecast accuracy through disciplined forecast-to-actual learnings.

  3. Deliver executive-ready narratives and framing that clearly explain what changed, why it changed, what is likely to drift next, and what leaders should do about it. Bring options and recommendations, and translate complex dynamics into simple, action-oriented communication for senior audiences.

  4. Operate as a trusted thought partner to operations leadership by connecting dots quickly across stakeholders, challenging assumptions constructively, aligning teams on a shared plan, and leading open-ended problem solving in ambiguous environments where inputs are imperfect and speed matters.

  5. Stand up scalable reporting, transparency, and automation that reduces manual reconciliation and increases decision velocity.

Basic Qualifications

  • 5+ years of tax, finance or a related analytical field experience
  • Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
  • Experience communicating results to senior leadership
  • Experience in building financial and operational reports/data sets that inform business decision-making

Preferred Qualifications

  • 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
  • 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
  • Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
  • Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
  • MBA, or CPA
  • Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results

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 - 95,400.00 - 163,200.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Venture Capitalist L2

0 reports

$154,235

total / year

Base

$61,694

Stock

$77,118

Bonus

$15,424

$107,965

$200,506

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge