• Qualifications:

• Bachelor’s degree in Accounting or related fields.

• 7-10 years of experience in corporate accounting.

• Preferred Qualifications:

• Experience in credit control or financial task or accounting.

• Advanced in Excel, e.g. VBA, macros, Power Query, and complex formulas.

• Good knowledge of accounting principles, taxation and DBD regulations.

• Well-organized, proactive, and detail-oriented with strong problem-solving skills.

•  

• Good command of English (TOEIC score of 730 or above required).

• Good communication skills, and a positive attitude.

• Able to work and collaboratively as a team leader or team player.

• Perform financial analysis to support management decisions.

• Review and verify credit application to ensure completeness and accuracy for credit analysis.

• Prepare and submit credit monthly reports and risk positions across the company and subsidiaries.

• Collaborate with Sales department and subsidiary companies

• 5–8 years in digital transformation, project management, or change management roles. 

• Proven experience in GenAI tools, prompt design, and safe AI usage patterns.

• Demonstrated success in rolling out governance, training, and adoption program.

• Skilled in measuring behavioral change and driving adoption.

• Familiarity with Responsible AI principles and risk controls.

• Experience with Microsoft Copilot administration, Azure OpenAI evaluation tools, or AI safety assessments is a plus.

• Fluent in English with TOEIC score 730+ is required.

1. Governance Operationalized                                                       

• Publish and embed GenAI usage guidelines into daily operations.

• Manage exception and incident handling processes effectively. 

2. Adoption at Scale                                                      

• Lead the AI Champions program across business divisions.

• Execute training and communication plans to drive awareness and usage.

• Monitor and report on month-over-month growth in compliant AI usage.

3. Use Case Delivery                                              

• Build and manage a prioritized pipeline of AI use cases.

• Facilitate pilots and scale successful solutions using the DX project lifecycle (initiate → pilot → scale).    

4. Value Realization                                           

• Track and report benefit such as time savings, quality improvements, and compliance gains.

• Collaborate with IT/DX teams to ensure value is captured and reported monthly.