AWS O2C Marketplace Lead, Fin Ops AR AWS

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 Marketplace customer channel. The AWS Marketplace is an online store that allows customers to find buy deploy and manage third party software data and services on AWS. This channel is rapidly growing and a critical channel with accounts under management exceeding $1 billion (AR).

This is an individual contributor role that will collaborate with 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
Responsibilities include:
* Facilitate communication and collaboration between Financial Operations Sales Accounting Finance and AWS Marketplace as well as AWS Marketplace customers.

* 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.

* 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.

* Develop and implement automated solutions using Amazon QuickSight and similar tools to streamline marketplace operations and reporting capabilities.

- 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
- Bachelors degree in engineering statistics or business or Bachelors degree and 5 years of quantitative role (engineering process re-engineering quality assurance) experience

- 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

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