Job
Description
External job description Are you passionate about developing new and innovative processes that combine finance, operational excellence, and technology to drive improvement? Have you engaged in large cross-functional projects to increase efficiency and accuracy and reduce waste? If so, the Finance Operations team is the place for you. Our priority is to identify, scope, and deliver upstream systems and process improvements which reduce operating expenses, increase free cash flow, and improve customer experience. The Global Order to Cash (O2C) team is seeking a self-driven individual with a strong owners mindset, relentless customer advocacy and frontline obsession to be the global lead for the AWS Standard customer segment. The Standard customer segment is a critical and fast-growing segment within AWSs ~$100 billion run rate business, which we anticipate will continue to grow in the coming years. The role provides the opportunity to work with business leaders and technical teams to shape the way we operate order to cash within this channel. This is an individual contributor role that will collaborate with the execution support team through dotted line organizations, including analysts and support staff across the globe. The ideal candidate must be strategic and detail-oriented, have good accounting and finance skills, robust interpersonal and influencing skills (this role will have frequent communication with senior leadership), and strong organizational and project management skills. By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us. Key job responsibilities * Facilitate communication and collaboration between Financial Operations, Sales, Accounting, and Finance. * Standardize and improve processes across all sites to align teams to Global Standard Operating Procedures for the entire Order to Cash cycle. * Conduct deep dives and audits of O2C processes to identify improvement areas and provide feedback for goal achievement. * Define technology requirements for automation, self-service, and scale. * Design and build financial and operational reports that influence decision-making to share with management and business leaders. * Drive continuous improvement initiatives to enhance efficiency, accuracy, and customer experience. * Analyze key performance indicators (KPIs) to develop strategies to improve metrics such as DSO, billing accuracy, and collection effectiveness. Basic qualifications 5+ years of tax, finance or a related analytical field experience 5+ years of multiple finance and accounting roles experience 6+ years of Accounts Receivable or Account Payable experience 6+ years of applying key financial performance indicators (KPIs) to analyses experience 6+ years of building financial and operational reports/data sets that inform business decision-making experience 6+ years of creating process improvements with automation and analysis experience 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Preferred qualifications 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 MBA, or CPA Knowledge of SQL/ETL 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
