AI & Automation Strategy Manager (f/m/d)

In the role of AI & Automation Strategy Manager (f/m/d), you will define and refine TÜV SÜD’s strategy for AI and Automation, translate market and regulatory developments into portfolio and capability decisions, and ensure strategic alignment across the four delivery clusters. The position is established as a staff function within AI & Automation Technologies and reports directly to the Head of AI & Automation Technologies.

Tasks

• Develop and refine the strategy for AI & Automation Technologies at TÜV SÜD, align it with the corporate and digital strategy, and translate market trends into architectural and capability requirements
• Support the prioritization of initiatives within the AI & Automation portfolio, develop evaluation criteria and governance mechanisms, and create transparency at the CDIO level
• Monitor technological and regulatory developments (including the EU AI Act, agentic systems, and LLMs), assess their relevance for TÜV SÜD, and derive recommendations for delivery teams and governance bodies
• Ensure strategic coherence across the four delivery clusters (Workflow Automation & Low Code, AI Document Processing, Agentic AI Platform, and Enterprise Content Management) and identify synergies and dependencies
• Prepare strategic proposals, decision papers, and reports for the Executive Board, C-level stakeholders, and relevant steering committees, and support their decision-making processes
• Drive community building and networking activities with Corporate Functions, Business Units, external consulting firms, and the AI research community in order to further strengthen TÜV SÜD’s position as an enterprise AI leader

Qualifications

• Degree in Computer Science, Business Informatics, Business Administration/Economics, or a comparable field (Master’s degree or PhD is an advantage)
• At least 5 years of professional experience in strategy, consulting, or technology leadership roles with a focus on AI, automation, or digital transformation
• Deep understanding of current AI and automation technologies (including LLMs, agentic systems, low-code platforms, and RPA) as well as their business application in an enterprise environment
• Proven experience in developing and communicating technology strategies at the C-level
• Strong understanding of regulatory requirements (including the EU AI Act and GDPR) and the ability to translate them into internal governance frameworks
• Excellent communication skills in German (minimum C1 level) and English