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Amazon

Finance Manager, Amazon Leo

Amazon is hiring a Finance Manager, Amazon Leo. It pays $95k-$163k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this finance role: aI is not part of the work.
  • The posting mentions AWS, financial modeling and forecasting among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Forecast, analyze, and report cloud computing consumption and infrastructure costs for Amazon Leo's satellite constellation.

aws
financial-modelingforecastingcapex-allocationopex-cost-assignmentcloud-computing-cost
Are you ready to get in on the ground floor of Amazon’s long-term initiative to design, launch and maintain a constellation of Low Earth Orbit satellites to provide high-speed broadband connectivity to unserved and underserved communities around the world? It’s Day 1 for Amazon’s next billion dollar business and we are looking for an entrepreneurial minded Finance Manager to work in a start-up environment who is passionate about technology, thinks/acts globally, and has the ability to create and implement solutions, processes and controls.

As the Finance Manager, you will be responsible for forecasting, analyzing, and reporting all AWS and data storage, data transmission, and other infrastructure support needed by the Leo hardware, software engineering and operations teams. You will have strong infrastructure cloud computing knowledge, experience with Capex allocation and Opex cost assignment, and a high capacity to learn. You will partner with business leaders to develop operating plans including capital investment and funding needed to build a global infrastructure network.

Success in this role requires you to partner with and influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment. You will collaborate with all types of stakeholders, from VPs and Directors to Program/Project Managers and other Finance Managers across multiple business units within Amazon. You are comfortable leading analysis projects with high ambiguity, creating a robust process to track and manage the spending needs, presenting to business owners, and can pivot between the defined financial rhythms and ad-hoc project analyses. You are self-aware and able help to develop your teammates and the overall Leo organization. You use judgment to prioritize high-priority work and projects that maximize results for key stakeholders, while helping to solve complex problems that affect company-wide decisions.

Key job responsibilities
- Finance end-to-end owner and subject matter expert of Leo cloud computing consumption for internal business lines
- Develop strong working relationships with AWS Infrastructure and Services teams, and Leo business partners
- Work across Leo to identify, quantify and forecast AWS usage (IMR) and Leo specific AWS infrastructure costs (Capex) that support Leo on a global scale
- Build complex financial models that estimate Leo cloud computing costs and requirements in support of negotiations with AWS and B2B prospective customers. Partner with key Leo business partners to assess and bring creative ideas to reduce cloud computing costs
- Develop and implement metrics to monitor, report and evaluate forecasts and actual usage (AWS, external) and capex investments including recommendations to business leadership to drive efficiencies and spending improvements
- Develop and deliver accurate Operating Plans and Guidance R&Os and bring creative ideas to drive out costs
- Demonstrate an ability to manage competing priorities, work in an ambiguous business unit, and provide operations and investment guidance to the business partners based on data analysis
- Uses active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjusts style for various audiences to articulate complex finance issues clearly

Basic qualifications

- 5+ years of finance, accounting, or related analytical field experience
- Bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field
- Can meet export control requirements by being a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum
- 5+ years of dissecting financial data and identifying patterns that support business strategy experience
- 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience

Preferred qualifications

- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 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
- 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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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, WA, Redmond - 95,400.00 - 163,200.00 USD annually

How we rate this

Finance Manager, Amazon Leo 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

Financial ModelingForecastingCapex AllocationOpex Cost AssignmentCloud Computing CostAWS

Pay

This job starts at
$95k
Typical finance job
$106k

This posting starts 10% below the typical finance job. See finance jobs

Questions you could be asked

  1. Tell me about a project where financial modeling was part of your work. What did you do?
  2. Tell me about a project where forecasting was part of your work. What did you do?
  3. Tell me about a project where capex allocation was part of your work. What did you do?
  4. Tell me about a project where opex cost assignment was part of your work. What did you do?
  5. Tell me about a project where cloud computing cost was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Financial Modeling, Forecasting, Capex Allocation, Opex Cost Assignment, and Cloud Computing Cost. 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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