Executive Procure-2-Pay (Direct Operating Cost - Invoice Conversion) (Contract)

The successful candidate will be part of the Project Polaris team of Finance Division.

Key Responsibilities

To ensure, for the 80+ stations we operate to, that the invoice conversion team converts the disparate invoice formats into the format required by our system.

• Supervise the conversion team in the conversion.
• Acts as a bridge to ensure invoice formats are converted to an extent that downstream Accounts Payable team can perform 3-way match.
• Handle complex invoices and invoices pertaining to airising ops issues such as diversion, AOG etc.

Work with product owners, process owners and ITD to onboard conversion logic into an organisation-wide tool, and that we adopt a consistent invoice conversion technique and tools.

• Ensure all conversion take place efficiently
• Reduce the instances that require human intervention to achieve 3-way match process.

To ensure that the E2E process involving coding team, stations, invoice conversion team and Accounts Payable team works as intended.

• Balance the needs of individual team, while delivering the desired E2E outcomes. The end result must be there is nett efficiency across the chain for every invoice.

Requirements

• University degree in Data Analytics, Engineering, Accounting, Finance or a related discipline
• Working knowledge of LLM prompt engineering, programming language (Python), data wrangling, and databases.
• At least 1 year of relevant experience, or equivalent practical project experience, using AI/LLM and data or programming tools to support process improvement.
• Exposure to business, accounting or finance processes—such as invoice processing, accounts payable or financial data—is preferred.
• Able to write, test and refine AI/LLM prompts; understand the limitations of LLM, validate results, and apply appropriate workarounds where necessary.
• Intermediate Python skills, with the ability to wrangle, validate and transform data; familiarity with databases, NoSQL and unstructured data.
• Familiarity with business, accounting or finance processes, with strong attention to detail and the ability to investigate and infer information.
• Able to negotiate, articulate problem statements, and work with offshore teams to achieve desired outcome concisely.

The end date of this position is in December 2027.

We thank all candidates for your interest in Singapore Airlines, and regret that only shortlisted candidates will be notified.