Lead, AI-Driven Digital Audit Transformation

Proton; Shah Alam; Presencial; MYR 180.000 - 240.000; Jornada completa

Descripción de la vacante

Proton seeks a seasoned leader to drive Intelligent Audit Transformation, shaping strategy, operating model and roadmaps aligned with audit risk and business needs.

You will lead architecture design, data analytics enablement and AI-driven continuous assurance across ERP systems like SAP, coordinating with IT, finance and operations to embed analytics into audit processes and strengthen risk coverage.

Formación

• Bachelor’s Degree in Accounting, Finance, IT, or related discipline.
• Total Work Experience: Minimum 8 years.
• Minimum 5 years in Internal Audit or related fields with digital transformation, data analytics, automation or AI-enabled audit initiatives.
• Experience with ERP/SAP and cross-functional stakeholders (IT, Finance, Operations).
• Strong knowledge of Digital Audit, Data Analytics and AI-enabled audit methodologies.
• Experience leading digital audit transformation from strategy to adoption.

Responsabilidades

• Lead Intelligent Audit Transformation roadmap and governance.
• Define target operating model for Digital Audit and Continuous Assurance.
• Incorporate data analytics, automated testing and AI-enabled auditing.
• Collaborate with IT and business teams to ensure data access and quality.
• Develop AI governance and change management plans.
• Drive adoption of data-driven, technology-enabled audit practices.

Conocimientos

Data analytics

Digital audit

AI-enabled auditing

ERP systems (SAP)

Educación

Bachelor’s degree in Accounting/IT

Herramientas

Power BI

SQL

Python

Process mining

RPA

Descripción del empleo

Proton seeks a seasoned leader to drive Intelligent Audit Transformation, shaping strategy, operating model and roadmaps aligned with audit risk and business needs.

You will lead architecture design, data analytics enablement and AI-driven continuous assurance across ERP systems like SAP, coordinating with IT, finance and operations to embed analytics into audit processes and strengthen risk coverage.