QC Controllership PM

Amazons Finance Operations Quality & Controllership team is looking for a seasoned L6 Individual Contributor for Hyderabad location to lead and elevate enterprise-wide Quality Control and Controllership initiatives across both Accounts Payable (AP) and Accounts Receivable (AR) functions. This senior-level role requires strong strategic acumen extensive functional expertise and the ability to independently navigate complex and ambiguous business challenges.


As an L6 IC you will be responsible for defining and executing the end-to-end quality and controllership vision. This includes designing scalable automation frameworks establishing robust governance mechanisms leveraging AI-powered anomaly detection capabilities and driving data-informed decisions in partnership with senior leadership. Acting as a trusted subject matter expert and thought leader you will shape the future of quality operations across AP and AR by advancing defect prevention operational excellence compliance and risk management at scale.


Key Responsibilities


1. Quality Control Automation & AI Enablement
Lead the vision and execution of enterprise-scale AI-powered automation initiatives to modernize and optimize quality control processes across Accounts Payable (AP) and Accounts Receivable (AR).
Develop and drive the long-term automation strategy prioritizing high-value opportunities in invoice processing payment validation collections dispute management and related workflows.
Collaborate with Engineering RPA and Machine Learning teams to design build and deploy intelligent scalable workflow solutions.

Define automation governance standards validation frameworks and deployment best practices to ensure operational reliability and sustainable scalability.
Measure track and communicate automation outcomes including ROI efficiency gains and quality improvements to senior leadership.


2. Defect Prevention & Controllership Excellence
Own the end-to-end quality and defect reduction strategy for AP and AR establishing performance targets monitoring trends and ensuring adherence to quality SLAs.
Design and strengthen controllership frameworks through audit mechanisms risk-based sampling methodologies and preventive quality controls.

Lead comprehensive root-cause investigations for systemic defects and drive cross-functional corrective and preventive action plans.
Develop and evolve quality metrics KPIs and OKRs to assess controllership effectiveness operational performance and accountability.

Identify control weaknesses and champion process redesign initiatives that improve compliance reduce risk and deliver measurable business impact.

3. Advanced Analytics & Anomaly Detection
Architect and implement advanced anomaly detection capabilities across AP and AR processes to identify quality deviations financial risks and operational exceptions.
Develop predictive and prescriptive analytics models that proactively identify potential quality failures and control breakdowns.

Create executive-level dashboards and real-time monitoring solutions that provide actionable insights into quality performance and risk exposure.

Apply statistical techniques including process control methodologies regression analysis and hypothesis testing to uncover and validate improvement opportunities.

Foster a data-driven culture by establishing standardized measurement frameworks data quality standards and analytical best practices across the organization.

4. Cross-Functional Program Leadership
Act as the single-threaded owner for enterprise quality and controllership initiatives spanning both AP and AR organizations.

Influence and align stakeholders across Operations Finance Technology Compliance Audit and Legal functions to execute a unified quality strategy.

Lead programs through the full lifecyclefrom opportunity identification and business case development to implementation measurement and long-term sustainability.

Represent Quality and Controllership in executive reviews operational business reviews and strategic planning discussions.

Coach and mentor team members while contributing to capability development and organizational excellence within the Quality and Controllership function.

5. Governance Compliance & Risk Management
Establish and maintain robust governance frameworks that support internal controls audit readiness regulatory compliance and financial integrity across AP and AR.
Lead risk identification assessment mitigation planning and escalation management for quality and controllership programs.

Partner closely with Compliance Legal and Audit teams to ensure adherence to applicable financial regulations policies and control requirements.

Conduct periodic governance reviews policy assessments and control effectiveness evaluations to strengthen the overall control environment.

Champion a culture of ownership accountability continuous improvement and operational excellence in quality and compliance practices.



- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience in accounts receivable or account payable or experience in tax finance or a related analytical field
- 10 years of progressive experience in quality assurance controllership program management or related fields
- Demonstrated expertise owning and delivering large-scale quality or controllership programs with significant measurable business impact
- Proven ability to design and implement automation and AI-driven solutions in a quality or operations context
- Strong analytical acumen with hands-on experience in data analysis statistical methods and anomaly detection
- Expertise in quality management frameworks audit methodologies and controllership best practices
- Exceptional stakeholder management skills ability to influence senior leaders and drive alignment across cross-functional teams
- Outstanding written and verbal communication skills; ability to distill complex information for executive audiences
- Experience driving decisions and strategy independently in ambiguous high-complexity environments
- Bachelors degree in Finance Business Engineering Computer Science or a related field

- Masters degree or above in business administration finance economics computer science data science engineering or other related field or Bachelors degree in engineering statistics computer science operations research business analytics information systems or equivalent
- Experience in several of the following areas: machine learning statistics deep learning natural language processing or information retrieval
- Certifications in Six Sigma (Black Belt) Lean or equivalent process improvement methodologies
- Strong knowledge of RPA technologies (UiPath Automation Anywhere Power Automate) and automation governance
- Background in financial operations including collections cash application dispute resolution or invoice management
- Experience building and scaling quality programs in high-growth technology-driven environments
- Familiarity with financial audit standards SOX compliance and internal controls frameworks
- Experience presenting to VP/SVP-level leadership and contributing to org-level strategic planning
- Technical Skills
- Data querying and analysis: SQL (advanced) Python (pandas numpy scikit-learn) R
- Business Intelligence & Visualization: Amazon QuickSight Tableau Power BI
- Anomaly detection and predictive modelling: statistical process control ML model deployment
- Automation platforms: RPA tools workflow orchestration API integration
- AI/ML concepts: supervised/unsupervised learning NLP applications model evaluation
- Spreadsheet and financial modelling tools: Excel (advanced) Google Sheets
- Project and program tracking: JIRA Confluence Asana or equivalent

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