Internal Control Manager Next-Gen Monitoring

Internal Control Manager Next-Gen Monitoring

AB InBev

Leuven, Belgium

Main Purpose of the role

Help in accelerating the next phase of our already established, data‑driven internal controls framework by embedding controls into S/4 design and operations, and by operationalizing AI‑enabled monitoring (reporting, anomaly detection, and agent‑based routines) to transform how we execute, test, and improve internal controls at scale.

Key tasks and accountabilities

• Be part of driving the continuous improvement of our internal controls, driving risk reduction, standardization and automation;
• Partner with Global Process Owners and Finance Transformation stakeholders to translate process design decisions into clear control requirements and remediation plans;
• Act as master of the data model for centralized reporting in a specific domain (e.g. Source to Pay, Order to Cash): define key objects and attributes, ensure consistency across sources, and enable reliable rollups for governance and decision making;
• Drive anomaly detection and advanced monitoring for the domain: translate risks into data-driven use cases, embed investigation routines with zones, and ensure follow‑up is sustained through recurring governance;
• Apply structured problem solving and change management: identify resistance early, drive corrective actions, and ensure changes stick in the DNA of the organization;
• Interact with stakeholders in a hands‑on way and influence at entity, zone, and global level to drive adoption of standards and durable outcomes;
• Be passionate about process improvement, new and emerging technology such as data analytics, GenAI.

Qualifications, Experience, Skills

• Master’s degree in finance, Accounting, Economics, IT, Engineering, Risk Management or related;
• 3–5 years of working experience in Finance/Internal Controls/IT/Audit/Transformation/PMO (hands‑on delivery in a fast‑paced environment);
• Solid understanding of Internal Control processes is a plus;
• Strong analytical skills; comfortable with KPI‑based monitoring and data‑driven control routines;
• Strong communication, impact & influence skills (able to align business, process owners and tech);
• Good project‑management skills; structured, disciplined execution and ability to drive cross‑functional deliverables end‑to‑end;
• Affinity for BI and data analytics, such as Power BI, SQL, Databricks, and Python;
• Strong interest in technology and Agentic AI, with curiosity to translate emerging capabilities into practical use cases;
• High learning agility and flexibility to deliver in a fast‑paced, global environment.