Finance Manager, AWS Applied AI Solutions Finance
Amazon Web Services (AWS) - Seattle, Washington, us, 98127
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Finance Manager, AWS Applied AI Solutions Finance
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Finance Manager, AWS Applied AI Solutions Finance
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Amazon Web Services (AWS) Get AI-powered advice on this job and more exclusive features. Description
Amazon Connect is a comprehensive customer experience solution that has differentiated itself through enterprise-grade availability, scalability, native AI, and competitive pricing. While the solution launched in 2017, it has seen rapid adoption due to its superior customer service at lower costs. Connect has been recognized as an industry leader from Forrester and Gartner. Amazon Connect has continually raised the bar for its AI integrations and is trusted by internal and external customers for their daily operations. Description
Amazon Connect is a comprehensive customer experience solution that has differentiated itself through enterprise-grade availability, scalability, native AI, and competitive pricing. While the solution launched in 2017, it has seen rapid adoption due to its superior customer service at lower costs. Connect has been recognized as an industry leader from Forrester and Gartner. Amazon Connect has continually raised the bar for its AI integrations and is trusted by internal and external customers for their daily operations.
Amazon is seeking a Finance Manager to support a critical pillar of Amazon Connect, Customer Data and Insight Services (Customer Profiles, AWS Personalize, AWS Clean Rooms, etc). The leader in this role will partner with the service GM to provide data driven analysis, strategic decision support, financial planning, and controllership.
Key job responsibilities
Serve as the CFO of Customer Data and Insight Services, providing strategic and financial direction and partnering with senior leadership. Manage all short and long-term financial objectives, supporting the leadership team with key financial information and operational analytics, and driving a culture of accountability in managing the business. Drive the business to develop challenging goals, business strategy, and financial plans, working with the Customer Data Insight Org's leadership team to deliver against these plans. Lead the planning and analysis for the business including monthly, quarterly, and ad hoc reviews. Perform ad-hoc analysis as needed and present findings to senior management.
A day in the life
Working closely with business and GTM partners to monitor business growth; evaluating the financial impacts of new sales plays and feature launches, and other strategic decisions Leading the preparation and presentation of WBR with Service GM Monitoring business performance on both top-line and bottom-line metrics, drafting MFR and leading financial reviews with the service's leadership team
About The Team
We are at a transformational moment where Artificial Intelligence (AI) will transform how people work and where they spend their time. We are excited about the future of agentic applications, and we are focused on building business applications that leverage Amazon’s operational expertise to deliver solutions that businesses will love and trust for their day-to-day success. Our AWS Applied AI Solutions organization operates a set of diverse businesses, putting AI to work delivering better customer experience, operational excellence, and speed of execution. A flagship solution is Amazon Connect.
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
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 MBA, or CPA 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) Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results 6+ years of applying key financial performance indicators (KPIs) to analyses experience Experience 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $85,900/year in our lowest geographic market up to $179,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon.com Services LLC
Job ID: A3042794 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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