Amazon FinOps is seeking an experienced Quality Control Manager to lead the Accounts Payable Quality Control (APQC) team. In this role, you will own end-to-end quality assurance for AP operations — designing and executing sampling strategies, leading auditor teams, building risk-based prioritization frameworks, and driving AI/automation adoption to scale QC coverage without proportional headcount growth.
You will manage a team of quality analysts and auditors, set quality standards across multiple AP verticals, and partner with Operations, Technology, and Finance leadership to embed controllership into every AP process. You are equally comfortable presenting root-cause findings to senior leaders as you are diving into data to validate an anomaly. You think like a builder — always asking "how do we automate this?" before "how do we staff this?"
The ideal candidate brings deep accounts payable or financial operations QC expertise, a track record of managing analyst/auditor teams, and a bias toward using data, automation, and AI-powered tools to raise the bar on defect detection and prevention.
Key job responsibilities Quality Control Strategy & Governance
Own the APQC framework: sampling methodology, risk scoring, defect taxonomy, and escalation protocols across all AP verticals
Design and maintain controllership health metrics — connecting SOPs, policy documents, and tech controls into a unified risk-monitoring system
Define quality KPIs (defect rates, audit coverage, SLA adherence, false-positive rates) and hold the team and operations accountable to them
Conduct and oversee internal QC audits; represent AP Quality in external and cross-functional audit reviews
People Management & Team Development
Lead, coach, and develop a team of quality analysts and auditors across multiple AP verticals
Set clear goals, provide regular feedback, and manage performance
Build team capability in data analytics, automation, and AI-assisted auditing — upskilling from manual audit execution toward tech-enabled QC
Drive hiring, onboarding, and retention strategies to maintain a high-performing, engaged team
Foster an inclusive team culture of ownership, curiosity, and continuous improvement
Automation & AI-Driven Quality
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Champion automation of manual QC processes — identify high-ROI automation opportunities and partner with technical resources to deliver them
Drive adoption of AI/ML-based anomaly detection, risk scoring, and predictive defect models to augment human auditors
Own the roadmap for QC automation: prioritize, scope, and track initiatives that reduce manual audit effort while increasing coverage
Partner with Engineering, Data Science, and Product teams to integrate AI outputs into operational workflows
Data Analytics & Reporting
Build and maintain dashboards tracking quality metrics, audit outcomes, defect trends, and team productivity
Conduct root-cause analysis on defect patterns; translate findings into preventive actions and process improvements
Present quality performance, risks, and recommendations to senior Finance and Operations leadership (WBR/MBR/QBR cadence)
Use statistical methods to validate sampling strategies and ensure audit coverage is optimized for risk
Stakeholder Partnership
Partner with AP Operations leaders to align QC priorities with business objectives and operational pain points
Act as the quality voice in cross-functional forums — influencing process design, system changes, and new program launches to embed quality upfront
Basic qualifications
Experience working as a Quality Assurance Engineer, or experience in finance roles
5+ years of people management leading teams of 20 experience, or experience in problem solving and delivering results
Experience working with Excel and large-scale data mining and reporting tools such as Python, SQL, or Tableau, or experience in tax, finance or a related analytical field
Experience preparing quality metrics and effectively engaging with stakeholders to set and drive quality goals
Experience in understanding performance metrics and developing them to measure progress against key performance indicators
Experience leveraging technology to drive process improvements
Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
Bachelor's degree in Finance, Accounting, Business, Engineering, or a related field
Preferred qualifications
4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
Experience using Lean Process Improvement, Six Sigma methodologies or related performance metrics/process improvements to increase efficiency within processes, forecasting, planning, optimization, and logistics
5+ years of Accounts Receivable or Account Payable experience
Experience in Java/Perl/Python based automation
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or experience applying quantitative analysis to solve business problems and making data-driven business decisions
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.
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