Senior Internal Auditor Early Career (2-4 Years' Experience)

Sits within the Audit, Risk & Controls function, an independent and objective function that acts as a value-add business partner, supporting the company in navigating risks and opportunities and providing a home ground for talent to grow. Its purpose is to deliver high-quality work and specialist insight that enables the team to provide credible conclusions and practical value to the business. The work supports effective governance, risk management and internal controls and can inform decisions at the highest levels, with key insights and results presented to senior leadership and the Executive Board.

• Participate in audit risk assessments and project scope definition, organise and attend planning inquiry meetings, and collect, review and document information supporting the final audit risk assessment and project scope.
• Execute audit procedures and work programmes in a timely manner, concluding project work with fair and objective results including the audit rating, keeping the Project Lead and Project Reviewer updated on key observations and reacting to feedback on a continuous basis.
• Update observations, validate issues and collaboratively identify solutions with stakeholders such as audit entity management and HQ functions.
• Document detailed observations and recommendations, contribute to the closing presentation and audit report content based on fieldwork performed, support the Project Lead in determining the audit rating, and present topics of responsibility during the audit closing meeting.
• Perform cross-review and quality checks of completed deliverables as appropriate.
• Execute accurate and insightful data analytics by identifying opportunities and data sources, exploring and extracting data in relevant systems such as SAP, analysing it in consultation with the Project Lead and the data analytics team And visualising results to deliver impactful and actionable insights to key stakeholders.
• Monitor the implementation of audit recommendations.
• Identify and implement improvements to processes and tools, and support and/or lead the delivery of small-scale to medium-scale team initiatives.
• Apply approved AI and automation responsibly to enhance quality and efficiency, testing and improving AI-enabled workflows or agents where relevant, protecting information, validating outputs and retaining accountability for all conclusions and deliverables.
• Continuously develop professional expertise and broaden understanding of key processes, systems, initiatives and business models, delivering high-quality work with appropriate independence and collaborating effectively with relevant stakeholders.

• University degree in a business-related discipline (e.g. accounting/controlling/finance, business administration, international business).
• 2-3 years of assurance, advisory or consulting experience, preferably within a multi-national organisation or professional services firm.
• Strong interest, passion or practical experience in the consumer products industry.
• Fluent English is required.
• Willingness to travel globally (approximately 40%).
• Solution-oriented, adaptable, self-motivated, driven and committed team player with integrity and perseverance, able to accept and meet deadlines with effective time management, a sense of priorities and agility.
• Good analytical capabilities to manage large volumes of information from various sources (interviews, data) and derive meaningful observations.
• Good interpersonal skills combined with a high degree of customer orientation, with the ability to adapt and navigate easily within a changing environment and complex organisations and to connect with a variety of functions, audiences
• Management styles or cultures and foster stakeholder relationships.
• Curious and growth mindset, keen to learn and approach subjects outside of the comfort zone, able to think critically and bring in different perspectives.
• Ability to present and communicate effectively, both in writing and verbally.
• Willingness to learn and responsibly apply digital and AI-enabled tools.

• Experience with data analytics is extremely beneficial.
• Professional designations (e.g. CIA, CPA, CISA, CRMA, CFE) are preferred.
• Additional languages beyond fluent English are advantageous.
• Practical experience with AI, automation or building AI agents is beneficial where relevant.

• Reasonable accommodations are provided to individuals with disabilities throughout the recruitment process.

Adidas also believes that embedding diversity, equity and inclusion into its culture and talent processes gives its employees a sense of belonging and its brand a real competitive advantage.