FinOps Manager III
Job Summary
The ideal candidate will be a strategic thinker strong communicator and influential leader capable of representing the interests of the Finance Operations Receivables organization across Amazon. This role requires driving operational excellence strengthening controllership enhancing customer experience and delivering business outcomes through process optimization and innovation.
As a leader in the organization you will shape the future of AR operations by leveraging automation advanced analytics and AI-driven solutions to improve efficiency reduce manual effort accelerate cash flow and create scalable future-ready financial processes. You will partner closely with business technology compliance and finance stakeholders to identify transformation opportunities implement intelligent workflows and foster a culture of continuous improvement and innovation across the organization.
Strategy & Prioritization
Define and drive operational priorities in alignment with broader organizational objectives leveraging AI-powered insights predictive analytics and data-driven decision-making frameworks.
Lead the Accounts Receivable strategy focused on enhancing customer and vendor experience through continuous improvement of key performance metrics service levels automation and intelligent workflow solutions.
Partner with cross-functional stakeholders to identify upstream and downstream optimization opportunities utilizing AI/ML technologies to reduce manual effort improve accuracy and accelerate process cycle times.
Champion the adoption of AI and automation across the organization by establishing usage goals monitoring adoption metrics and ensuring teams are effectively trained and equipped to integrate AI into daily operations.
Operational Excellence
Establish monitor and continuously enhance operational performance metrics driving a culture of excellence and continuous improvement across Accounts Receivable functions.
Provide leadership and subject matter expertise across multiple AR domains including cash application credit note management receivables management collections and debit balance recovery while identifying opportunities for process optimization and scalability.
Controllership & Compliance
Assess communicate and mitigate Accounts Receivable controllership risks by evaluating the effectiveness of existing controls and implementing robust risk management frameworks.
Drive policy adherence procedural compliance and control governance by developing enhancing and maintaining operational and design effectiveness of internal controls in close partnership with Internal Audit and Compliance teams.
Strengthen the overall control environment through proactive monitoring process standardization and continuous evaluation of financial and operational risks.
Leadership & Team Management
Lead and develop a high-performing organization comprising Operational Managers and teams supporting end-to-end receivables processes fostering a culture of accountability ownership and customer obsession.
Build an AI-enabled workforce by driving capability development upskilling teams on emerging technologies and embedding AI adoption into performance expectations and business outcomes.
Coach and mentor leaders to enhance organizational effectiveness succession planning and talent development while driving engagement and operational excellence at scale.
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences including senior leadership
- Experience with Six Sigma tools and Lean techniques or experience in similar environments
- 13-15 years of relevant experience in Finance/Operations across Order-to-Cash (OTC) and Accounts Receivable processes
- Exceptional attention to detail with a results-driven work ethic focused on exceeding expectations
- Strong analytical skills with ability to evaluate challenge and redesign business processes
- Proven project management ability organizing solutioning and driving to successful closure
- Advanced presentation skills with ability to guide and influence senior leadership
- Hands-on experience with AI/GenAI tools for process automation predictive analytics and intelligent decision-making in AR operations
- Ability to identify and implement AI use cases (e.g. auto-drafting intelligent cash application anomaly detection predictive collections) and drive measurable adoption across teams
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience demonstrating problem solving and root cause analysis
- Familiarity with AI governance ensuring responsible auditable and compliant use of AI in financial processes
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Required Experience:
Manager
About Company
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