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Amazon

Senior Program Manager - Finance - Business Partnerships

Amazon, Seattle, Washington, us, 98127


Senior Program Manager - Finance - Business Partnerships

Job ID: 2689737 | Amazon.com Services LLC 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. A day in the life This role will be a key member of the Finance Operations Business Partnership team supporting our Global Procure to Pay (P2P) processes. Our team is focused on reducing and eliminating defects within the P2P process which impact customers, vendors, and sellers. About the hiring group We advocate for improvements through technology and partnering with various teams to define, design, and prioritize those enhancements in the ordering, fulfillment, payment, and dispute resolution processes with vendors and sellers. This position requires the candidate to diagnose current Amazon processes and metrics, identify opportunities, work with business partners to identify tools/systems improvement opportunity, and validate the improvement effort. Key responsibilities

You will be a key player of a team comprised of high performing operations excellence and finance professionals to drive upstream systems and process initiatives which improve the quality and accuracy of data used by Finance Operations to pay suppliers. We are looking for an experienced Finance/Program Manager to partner with our upstream business and technical teams to: Drive program objectives – provide program management to define project plans, manage implementation activities, and develop processes, documentation, and communications for program/process rollout and ongoing support. Scale services and tools – design processes and procedures that scale with the business’ growth in volume, complexity, and global geographic dispersion. Define key performance indicators – develop metrics and service level agreements for core programs and processes, and track delivery against program objectives. Collaborate and build relationships with system and business owners globally to ensure process excellence and the highest degree of controllership. Negotiate efficient and reliable processes and policies across partner teams to systematically eliminate dependencies and defects. Work cross-organizationally and functionally to identify key opportunities in process, technical, and human interfaces and developing and implementing plans to capitalize on those opportunities and measure and monitor success and impacts. BASIC QUALIFICATIONS

- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - 6+ years of building financial and operational reports/data sets that inform business decision-making experience - Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 6+ years of quantitative role (engineering, process re-engineering, quality assurance) experience - 6+ years of tax, finance or a related analytical field 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

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