QC Controllership PM
ADCI HYD 13 SEZ - H84•2h ago
IN, TS, HyderabadOnsiteFull-timeSenior Level10+ yrs exp
Top focus
Product Manager
- Amazon's 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
- 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
- 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
- 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
- related workflows. Collaborate with Engineering, RPA
- Machine Learning teams to design, build
- deploy intelligent, scalable workflow solutions. Define automation governance standards, validation frameworks
- deployment best practices to ensure operational reliability and sustainable scalability. Measure, track
- communicate automation outcomes, including ROI, efficiency gains
- 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
- ensuring adherence to quality SLAs. Design and strengthen controllership frameworks through audit mechanisms, risk-based sampling methodologies
- 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
- OKRs to assess controllership effectiveness, operational performance
- accountability. Identify control weaknesses and champion process redesign initiatives that improve compliance, reduce risk
- 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
- 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
- hypothesis testing, to uncover and validate improvement opportunities. Foster a data-driven culture by establishing standardized measurement frameworks, data quality standards
- 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
- Legal functions to execute a unified quality strategy. Lead programs through the full lifecycle—from opportunity identification and business case development to implementation, measurement
- long-term sustainability. Represent Quality and Controllership in executive reviews, operational business reviews
- 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
- financial integrity across AP and AR. Lead risk identification, assessment, mitigation planning
- escalation management for quality and controllership programs. Partner closely with Compliance, Legal
- Audit teams to ensure adherence to applicable financial regulations, policies
- control requirements. Conduct periodic governance reviews, policy assessments
- control effectiveness evaluations to strengthen the overall control environment. Champion a culture of ownership, accountability, continuous improvement
- operational excellence in quality and compliance practices.
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience in accounts receivable or account payable
- 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 -
- Bachelor's degree in Finance, Business, Engineering, Computer Science, or a related field
- Master's degree or above in business administration, finance, economics, computer science, data science, engineering
- Bachelor's 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
- 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
- equivalent 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.
Required skills
Quality AssuranceControllershipProgram ManagementAutomationAIData AnalysisStatistical MethodsAnomaly DetectionQuality ManagementAudit Methodologies