JOB DESCRIPTION:

Lead the overall Intelligent Audit Transformation of GIA by establishing a clear strategic direction, target operating model and implementation roadmap that align with GIA’s audit strategy and evolving business risks.

Strategic Intelligent Audit Planning & Architecture Design

Develop and maintain the Intelligent Audit Transformation roadmap, defining priorities, key initiatives, milestones, resource requirements and success measures.
Define the target operating model and capability architecture for Digital Audit, automation, AI-enabled auditing and progressively Continuous Assurance.
Assess emerging technologies and identify high-value and practical use cases for Internal Audit, prioritizing initiatives based on risk impact, feasibility and expected value.
Establish appropriate governance, standards and performance measures to monitor transformation progress and ensure sustainable implementation.

Digital Audit Methodology, Data & Technology Enablement

Lead the integration of digital technologies, data analytics and automation across the end-to-end audit lifecycle to strengthen audit quality, efficiency, consistency and risk coverage.

Integrate data analytics, automated testing, workflow automation and digital tools into risk assessment, audit planning, fieldwork, evidence analysis and reporting.
Translate audit risks, objectives and procedures into scalable data analytics and automated testing approaches, with greater use of full-population testing where appropriate.
Collaborate with IT, business functions and audit teams to establish reliable data access, governance, quality standards and reusable audit data assets across key ERP and business systems.
Develop and standardize reusable digital audit tools, solutions and methodologies that can be applied across audit engagements and business areas.
Continuously assess and enhance the effectiveness, reliability and scalability of digital audit solutions and embed them into standard audit practices.

AI-Powered Risk Analytics & Continuous Assurance

Lead the development of data-driven and AI-enabled risk monitoring and assurance capabilities to improve risk visibility, identify emerging risks earlier and progressively advance GIA towards Continuous Auditing and Continuous Assurance.

Develop key risk indicators, automated testing rules, anomaly and exception detection, and risk-trigger mechanisms for priority risk areas.
Build capabilities for continuous risk monitoring and risk-based alerts using available system and business data.
Establish processes to validate, prioritize and follow up on risk signals and exceptions to ensure they are reliable, actionable and appropriately addressed.
Develop mechanisms to convert significant risk signals into audit reviews, investigations or management follow-up actions.
Expand Continuous Monitoring, Continuous Auditing and Continuous Assurance to suitable areas based on data availability, risk characteristics and control maturity.

AI Enablement, Change Management & Capability Building

Drive the adoption of AI-enabled and technology-driven ways of working across GIA by strengthening digital capabilities and enabling auditors to use technology effectively while maintaining professional judgement and audit quality.

Identify, develop and institutionalize practical AI applications and AI agents to support audit planning, testing, evidence analysis, report review, knowledge retrieval and other audit activities.
Develop LLM/RAG-based audit knowledge solutions and intelligent workflows to improve access to audit methodologies, standards, historical knowledge and professional guidance.
Establish appropriate AI governance, usage guidelines and quality controls to ensure responsible AI adoption with adequate human oversight and professional judgement.
Develop and deliver training, coaching, guidance and reusable tools to strengthen auditors’ digital, data analytics and AI capabilities.
Lead adoption and change management initiatives to embed data-driven, technology-enabled and AI-augmented ways of working into GIA’s audit culture and operating model.

REQUIREMENTS:

Bachelor’s Degree in Accounting, Finance, Information Technology, Computer Science, Data Analytics, Business, Risk Management or a related discipline.
Total Work Experience: Minimum 8 years
Total Relevant Experience: Minimum 5 years in Internal Audit, Risk Management, Risk Advisory, Digital Audit or related fields, with demonstrated experience in digital transformation, data analytics, automation or AI-enabled audit initiatives.
Proven experience in leading or managing digital audit, audit transformation, data analytics, automation or AI-enabled audit initiatives from strategy/design through implementation and adoption.
Experience working with ERP and enterprise business systems (e.g. SAP) and cross-functional stakeholders such as IT, Finance, Operations and business functions is preferred.
Experience in manufacturing, automotive, supply chain or other complex multinational business environments would be an advantage.
Prior experience in a Big Four, leading professional services firm, or large corporate Internal Audit / Risk function is preferred.

Essential

Strong knowledge of Internal Audit, risk management, internal controls and risk-based audit methodology.
Strong understanding of Digital Audit, Data Analytics, automated audit testing and technology-enabled audit methodologies.
Practical understanding of AI/GenAI, AI Agents, LLM/RAG, intelligent automation and their applications in Internal Audit and risk management.
Ability to translate audit risks and business requirements into data-driven, automated or AI-enabled audit solutions.
Strong understanding of data governance, data quality, data access and enterprise data architecture from an audit and business-user perspective.
Proven project leadership, stakeholder management and change management skills.
A person of integrity and possess strong critical thinking, analytical, problem-solving and communication skills, with the ability to communicate effectively with senior management and stakeholders.
Ability to balance technology opportunities, audit objectives, risk considerations and professional judgment, rather than relying solely on technology outputs.
Comfortable with working in information-heavy environment and willing to work under pressure.

Preferred / Advantageous

CIA, CISA, ACCA, CPA or equivalent professional qualification.
Additional qualifications or certifications in Data Analytics, AI, Digital Transformation, Technology Risk or related areas.
Experience with Power BI, SQL, Python, process mining, RPA or audit analytics platforms.
Experience designing or implementing Continuous Monitoring, Continuous Auditing or Continuous Assurance solutions.
Experience developing AI Agents, LLM/RAG-based knowledge solutions or AI-enabled audit workflows.
Familiarity with major ERP/business systems, particularly SAP, and experience working with large and complex datasets.

1份Audit Senior Manager工作在Selangor - October 2026

管理提醒

Senior Manager, Intelligent Audit Transformation