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Finance Manager, FinOps, FinOps

2 months ago

hyderabad, India ADCI HYD 13 SEZ Full time

The candidate will be a good communicator and will be responsible for coordinating and representing the interests of Finance Operations receivables group within Amazon in the areas of Collections, client dispute management, Invoicing, Cash Application and Customer Experience.
The responsibility of this role will be Program Management for AR teams in multiple service centers and geographies. This individual will be a very good leader who is adapt at driving change within a very dynamic business environment and has a proven record of delivering process efficiency results.
Job duties include:
· This person will manage several projects and drive these projects to successful on-time launch.
· Develop an in-depth understanding of Amazon s products, business models, payment architecture and financial operations supporting the Order to Cash processes.
· Support critical relationships with internal and external business partners - Delivers complex medium to large scale projects from initiation through delivery
· Streamline project delivery across FinOps by standardizing project communications, execution and documentation, ensuring consistent, scalable global processes
· Gathers requirements from appropriate business owners, writes clear and detailed functional specifications, prioritizes features and drives technical scoping as needed
· Assess and defines customer value or impact and criteria for measuring project success
· Drive continuous process improvement by collaborating with stakeholders on design of new solutions that enhance business performance and achieve established goals
· Ensure consistent and efficient execution of all functions across FinOps by working closely with internal business partners and stakeholders to drive adoption and implementation of global standards, processes and programs
· Identifies and evaluates potential risks/obstacles with minimal direction. Determines appropriate corrective action.
· Extensive Program Management experience in a related industry, including managing complex software implementation
· Good written and verbal communication skills and ability to present in a clear and concise manner to all levels within the enterprise
· Ability to think clearly, analyze quantitatively, problem-solve, scope business requirements manage risks appropriately and effectively.
· Ability to manage multiple projects/programs
We are open to hiring candidates to work out of one of the following locations:
Hyderabad, TS, IND

BASIC QUALIFICATIONS

- 5+ years of tax, finance or a related analytical field experience
- 5+ years of multiple finance and accounting roles experience
- 6+ years of Accounts Receivable or Account Payable experience
- 6+ years of applying key financial performance indicators (KPIs) to analyses experience
- 6+ years of building financial and operational reports/data sets that inform business decision-making experience
- 6+ years of creating process improvements with automation and analysis experience
- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) 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