As part of the Amazon Healthcare Finance Operations Services team, you will find yourself working with exceptionally talented and determined people committed to driving financial improvement, scalability, and process excellence. To support the growth of Amazon Health, this candidate must possess a strong passion for accountability, setting high standards, raising the bar, and driving results through constant focus on improving existing and future state operations, systems, and processes.

The ideal candidate is an experienced operator and leader in Revenue Cycle Management. This role will be responsible for the development and implementation of revenue cycle programs designed to improve the customer financial experience and optimize revenue capture, coding, collections and cash posting processes.

This position will proactively identify, develop, and execute critical process improvement initiatives to drive best practice performance and favorably impact accounts receivable, cash acceleration, and net revenue.

The Finance Operations organization works with every part of Amazon to provide procure-to-pay, revenue-to-receipt, real-estate and facilities, operations accounting and operations excellence services with the highest level of controllership at the lowest cost to the company. We provide the backbone systems and operational processes which completely, accurately, and validly pay Amazon’s suppliers, invoice our customers and report financial results. Amazon is quickly building the Finance Operations capabilities in the healthcare industry by creating the Healthcare Finance Operations Services.


Key job responsibilities
Lead the overall portfolio of strategic revenue cycle initiatives, with a focus on improving efficiency, enhancing our automation capabilities, and launching new capabilities to support business growth.

Serve as the single threaded leader for revenue cycle tools, responsible for sourcing new solutions, leading design and implementation activities, supporting the solution roll-out and overseeing vendor/partner relationships.

Develop, execute and maintain detailed and continuous process improvement plans with an emphasis on standardization, scalability and automation. Scope includes but is not limited to reducing days in accounts receivable, increasing cash application efficiencies, reducing bad debt write-offs, and eliminating avoidable write-offs.

Collaborates with business partners on optimization efforts and represent AR interests in upstream projects that will affect accounts receivables.

Develop strategic recommendations that support our ongoing system design and automation initiatives

Coordinate cross functionally to develop fully informed views and insights into the drivers behind data, and present findings clearly and concisely.

- 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

- 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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