Internal Audit Data Analytics Manager

As an Internal Audit Data Analytics & Innovation Manager, you will play a key role in driving the adoption of data analytics, automation, and AI across Internal Audit. Working at the intersection of technology, audit, and business, you will transform complex audit and risk challenges into scalable, data-driven solutions that enhance audit coverage, improve risk insights, and increase efficiency. You will collaborate closely with audit teams, business stakeholders, D&IT experts, and external partners to deliver innovative solutions and embed advanced analytics throughout the audit lifecycle.

Position

In this role you will:

Drive Audit Innovation & AI Adoption

• Drive the adoption of Data Analytics, AI, automation, and emerging technologies across Internal Audit.
• Identify and prioritize opportunities to enhance audit coverage, risk insights, quality, and efficiency through technology.
• Develop and scale practical solutions, including AI-enabled audit assistants, intelligent analytics, automated testing, and workflow automation.
• Challenge traditional audit approaches by introducing innovative technologies, including agentic AI, and implementing high-value solutions with appropriate governance and oversight.

Expand the Audit Analytics Portfolio

• Partner with audit teams to translate business risks, controls, and audit objectives into effective data, analytics, and technology solutions.
• Collaborate with business, D&IT, and delivery partners to ensure reliable data access, govern solution quality, and maintain the Internal Audit Analytics Catalog.
• Develop reusable analytics and conduct enterprise-wide analyses to identify emerging risks, control gaps, anomalies, and process improvement opportunities.
• Design and deliver end-to-end analytics capabilities, including data pipelines, dashboards, automated testing, and AI-enabled tools.

Enable Data-Drive Audit Delivery

• Deliver advanced audit analytics, including population testing, anomaly detection, trend analysis, and other data-driven assurance procedures.
• Act as a trusted subject-matter expert and coach auditors in the effective use of analytics, automation, and AI solutions.
• Help auditors interpret analytics results and translate them into actionable audit insights and recommendations.
• Develop dashboards, risk indicators, and continuous auditing solutions that enhance audit insights and decision-making.

Strengthen Foundations & Continuous Improvement

• Apply engineering best practices and continuously enhance solutions based on user feedback, performance, and evolving business needs.
• Maintain and govern analytics assets and documentation to ensure long-term sustainability and supportability.
• Document data sources, transformation logic, assumptions, validation procedures, and known limitations.

Why This Role Matters

Internal Audit’s value increasingly depends on its ability to connect risk signals across markets, analyze full populations, and respond at the pace of the business. This role helps make that capability repeatable and trusted — reducing avoidable manual effort while preserving the quality, security, and professional judgment on which effective assurance depends.

Requirements

Background & Experience

• University degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Finance, Accounting, or a related field.
• 7-10 years of experience in Internal Audit, Risk Management, Data Analytics, Business Process Consulting, Technology Consulting, or technology-enabled assurance.
• Strong understanding of governance, risk management, and internal control frameworks, with experience identifying and assessing business risks across end-to-end processes.
• Experience working with SAP S/4HANA business processes and data structures, with solid knowledge of core processes such as Procure-to-Pay (P2P), Order-to-Cash (O2C), Record-to-Report (R2R), Inventory Management, Manufacturing, and Master Data Management.
• Proven experience translating audit, risk, compliance, and business process requirements into practical analytics, automation, or technology-enabled solutions.
• Experience delivering business-facing analytics, reporting, dashboards, automation solutions, or digital transformation initiatives.
• Good working knowledge of SQL and data analytics concepts, with the ability to understand, validate, and interpret data from enterprise systems.
• Experience working with modern analytics platforms such as Databricks, Microsoft Fabric, Power BI, Azure, SAP BW, or similar technologies is an advantage.
• Familiarity with Python, PySpark, data engineering concepts, or automation technologies is desirable.
• Understanding of AI, Generative AI, Copilots, intelligent automation, or emerging digital technologies and their practical application in assurance, risk, or business process improvement.
• Experience collaborating with business stakeholders, IT teams, and external partners to deliver cross-functional initiatives.

Your Skills & Mindset

• Strong analytical and critical-thinking skills with the ability to connect data, technology, business risks, and controls.
• Hands-on, pragmatic, and solution-oriented approach.
• Curiosity, innovation mindset, and confidence to challenge established approaches constructively.
• Strong communication, stakeholder management, and collaboration skills across cultures and functions.
• High level of ownership, commitment to quality, and passion for continuous learning and improvement.

What to expect

• On-going development opportunities in a multinational environment that will inspire you to grow professionally and personally.
• The opportunity to work 50% of your time outside of the office and 10 days abroad per year.
• Working from home equipment, such as chair, screen, mouse, and keypad.
• 25 vacation days + 9 so-called ADV days on a full-time basis.
• 13th-month salary.
• Bonus scheme.
• Different engagement activities such as dinners, drinks, social gatherings, parties, etc.
• Business laptop and phone.